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rate</title> <meta name="description" content="Search results for: mortality rate"> <meta name="keywords" content="mortality rate"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none navbar-toggler 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id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="mortality rate"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 8926</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: mortality rate</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8926</span> A Case Comparative Study of Infant Mortality Rate in North-West Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=G.%20I.%20Onwuka">G. I. Onwuka</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Danbaba"> A. Danbaba</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20U.%20Gulumbe"> S. U. Gulumbe</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study investigated of Infant Mortality Rate as observed at a general hospital in Kaduna-South, Kaduna State, North West Nigeria. The causes of infant Mortality were examined. The data used for this analysis were collected at the statistics unit of the Hospital. The analysis was carried out on the data using Multiple Linear regression Technique and this showed that there is linear relationship between the dependent variable (death) and the independent variables (malaria, measles, anaemia, and coronary heart disease). The resultant model also revealed that a unit increment in each of these diseases would result to a unit increment in death recorded, 98.7% of the total variation in mortality is explained by the given model. The highest number of mortality was recorded in July, 2005 and the lowest mortality recorded in October, 2009.Recommendations were however made based on the results of the study. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=infant%20mortality%20rate" title="infant mortality rate">infant mortality rate</a>, <a href="https://publications.waset.org/abstracts/search?q=multiple%20linear%20regression" title=" multiple linear regression"> multiple linear regression</a>, <a href="https://publications.waset.org/abstracts/search?q=diseases" title=" diseases"> diseases</a>, <a href="https://publications.waset.org/abstracts/search?q=serial%20correlation" title=" serial correlation"> serial correlation</a> </p> <a href="https://publications.waset.org/abstracts/37277/a-case-comparative-study-of-infant-mortality-rate-in-north-west-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/37277.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">331</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8925</span> Canine Neonatal Mortality at the São Paulo State University Veterinary Hospital, Botucatu, São Paulo, Brazil – Preliminary Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Maria%20L.%20G.%20Louren%C3%A7o">Maria L. G. Lourenço</a>, <a href="https://publications.waset.org/abstracts/search?q=Keylla%20H.%20N.%20P.%20Pereira"> Keylla H. N. P. Pereira</a>, <a href="https://publications.waset.org/abstracts/search?q=Viviane%20Y.%20Hibaru"> Viviane Y. Hibaru</a>, <a href="https://publications.waset.org/abstracts/search?q=Fabiana%20F.%20Souza"> Fabiana F. Souza</a>, <a href="https://publications.waset.org/abstracts/search?q=Jo%C3%A3o%20C.%20P.%20Ferreira"> João C. P. Ferreira</a>, <a href="https://publications.waset.org/abstracts/search?q=Simone%20B.%20Chiacchio"> Simone B. Chiacchio</a>, <a href="https://publications.waset.org/abstracts/search?q=Luiz%20H.%20A.%20Machado"> Luiz H. A. Machado</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The neonatal mortality rates in dogs are considered high, varying between 5.7 and 21.2% around the world, and the causes of the deaths are often unknown. Data regarding canine neonatal mortality are scarce in Brazil. This study aims at describing the neonatal mortality rates in dogs, as well as the main causes of death. The study included 152 litters and 669 neonates admitted to the São Paulo State University (UNESP) Veterinary Hospital, Botucatu, São Paulo, Brazil between January 2018 and September 2019. The overall mortality rate was 16.7% (112/669), with 40% (61/152) of the litters presenting at least one case of stillbirth or neonatal mortality. The rate of stillbirths was 7.7% (51/669), while the neonatal mortality rate was 9% (61/669). The early mortality rate (0 to 2 days) was 13.7% (92/669), accounting for 82.1% (92/112) of all deaths. The late mortality rate (3 to 30 days) was 2.7% (18/669), accounting for 16% (18/112) of all deaths. Infection was the causa mortis in 51.8% (58/112) of the newborns, of which 30.3% (34/112) were caused by bacterial sepsis, and 21.4% (24/112) were caused by other bacterial, viral or parasite infections. Other causes of death included congenital malformations (15.2%, 17/112), of which 5.3% (6/112) happened through euthanasia due to malformations incompatible with life; asphyxia/hypoxia by dystocia (9.8%, 11/112); wasting syndrome in debilitated newborns (6.2%, 7/112); aspiration pneumonia (3.6%, 4/112); agalactia (2.7%, 3/112); trauma (1.8%, 2/112); administration of contraceptives to the mother (1.8%, 2/112) and unknown causes (7.1%, 8/112). The neonatal mortality rate was considered high, but they may be even higher in locations without adequate care for the mothers and neonates. Therefore, prenatal examinations and early neonatal care are of utmost importance for the survival of these patients. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=neonate%20dogs" title="neonate dogs">neonate dogs</a>, <a href="https://publications.waset.org/abstracts/search?q=puppies" title=" puppies"> puppies</a>, <a href="https://publications.waset.org/abstracts/search?q=mortality%20rate" title=" mortality rate"> mortality rate</a>, <a href="https://publications.waset.org/abstracts/search?q=neonatal%20death" title=" neonatal death"> neonatal death</a> </p> <a href="https://publications.waset.org/abstracts/117940/canine-neonatal-mortality-at-the-sao-paulo-state-university-veterinary-hospital-botucatu-sao-paulo-brazil-preliminary-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/117940.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">203</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8924</span> A Cohort and Empirical Based Multivariate Mortality Model</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jeffrey%20Tzu-Hao%20Tsai">Jeffrey Tzu-Hao Tsai</a>, <a href="https://publications.waset.org/abstracts/search?q=Yi-Shan%20Wong"> Yi-Shan Wong</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This article proposes a cohort-age-period (CAP) model to characterize multi-population mortality processes using cohort, age, and period variables. Distinct from the factor-based Lee-Carter-type decomposition mortality model, this approach is empirically based and includes the age, period, and cohort variables into the equation system. The model not only provides a fruitful intuition for explaining multivariate mortality change rates but also has a better performance in forecasting future patterns. Using the US and the UK mortality data and performing ten-year out-of-sample tests, our approach shows smaller mean square errors in both countries compared to the models in the literature. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=longevity%20risk" title="longevity risk">longevity risk</a>, <a href="https://publications.waset.org/abstracts/search?q=stochastic%20mortality%20model" title=" stochastic mortality model"> stochastic mortality model</a>, <a href="https://publications.waset.org/abstracts/search?q=multivariate%20mortality%20rate" title=" multivariate mortality rate"> multivariate mortality rate</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20management" title=" risk management"> risk management</a> </p> <a href="https://publications.waset.org/abstracts/182234/a-cohort-and-empirical-based-multivariate-mortality-model" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/182234.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">55</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8923</span> Transportation Accidents Mortality Modeling in Thailand</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=W.%20Sriwattanapongse">W. Sriwattanapongse</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Prasitwattanaseree"> S. Prasitwattanaseree</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Wongtrangan"> S. Wongtrangan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The transportation accidents mortality is a major problem that leads to loss of human lives, and economic. The objective was to identify patterns of statistical modeling for estimating mortality rates due to transportation accidents in Thailand by using data from 2000 to 2009. The data was taken from the death certificate, vital registration database. The number of deaths and mortality rates were computed classifying by gender, age, year and region. There were 114,790 cases of transportation accidents deaths. The highest average age-specific transport accident mortality rate is 3.11 per 100,000 per year in males, Southern region and the lowest average age-specific transport accident mortality rate is 1.79 per 100,000 per year in females, North-East region. Linear, poisson and negative binomial models were chosen for fitting statistical model. Among the models fitted, the best was chosen based on the analysis of deviance and AIC. The negative binomial model was clearly appropriate fitted. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=transportation%20accidents" title="transportation accidents">transportation accidents</a>, <a href="https://publications.waset.org/abstracts/search?q=mortality" title=" mortality"> mortality</a>, <a href="https://publications.waset.org/abstracts/search?q=modeling" title=" modeling"> modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=analysis%20of%20deviance" title=" analysis of deviance"> analysis of deviance</a> </p> <a href="https://publications.waset.org/abstracts/2307/transportation-accidents-mortality-modeling-in-thailand" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/2307.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">244</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8922</span> Detecting Overdispersion for Mortality AIDS in Zero-inflated Negative Binomial Death Rate (ZINBDR) Co-infection Patients in Kelantan </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohd%20Asrul%20Affedi">Mohd Asrul Affedi</a>, <a href="https://publications.waset.org/abstracts/search?q=Nyi%20Nyi%20Naing"> Nyi Nyi Naing</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Overdispersion is present in count data, and basically when a phenomenon happened, a Negative Binomial (NB) is commonly used to replace a standard Poisson model. Analysis of count data event, such as mortality cases basically Poisson regression model is appropriate. Hence, the model is not appropriate when existing a zero values. The zero-inflated negative binomial model is appropriate. In this article, we modelled the mortality cases as a dependent variable by age categorical. The objective of this study to determine existing overdispersion in mortality data of AIDS co-infection patients in Kelantan. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=negative%20binomial%20death%20rate" title="negative binomial death rate">negative binomial death rate</a>, <a href="https://publications.waset.org/abstracts/search?q=overdispersion" title=" overdispersion"> overdispersion</a>, <a href="https://publications.waset.org/abstracts/search?q=zero-inflation%20negative%20binomial%20death%20rate" title=" zero-inflation negative binomial death rate"> zero-inflation negative binomial death rate</a>, <a href="https://publications.waset.org/abstracts/search?q=AIDS" title=" AIDS "> AIDS </a> </p> <a href="https://publications.waset.org/abstracts/33248/detecting-overdispersion-for-mortality-aids-in-zero-inflated-negative-binomial-death-rate-zinbdr-co-infection-patients-in-kelantan" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/33248.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">463</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8921</span> Association between Carbon Dioxide (CO2) Emission and Under-Five Mortality: Panel Data Evidence from 100 Countries</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mahadev%20Bhise">Mahadev Bhise</a>, <a href="https://publications.waset.org/abstracts/search?q=Nabanita%20Majumder"> Nabanita Majumder</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Recent studies have found association between air pollutants and mortality, particularly how concentration of air pollutant explains under-five mortality across the countries. Thus, the present study evaluates the relationship between Carbon dioxide (CO2) emission and under-five mortality, while controlling other well-being determinant of Under-five mortality in 100 countries using panel unbalanced cross sectional data. We have used PCSE and GMM model for the period 1990-2011 to meet our objectives. Our findings suggest that, the positive relationship between lagged periods of carbon dioxide and under-five mortality; the percentage of rural population with access of improved water is negatively associated with under-five mortality, while in case of urban population with access of improved water, is positively related to under-five mortality. Access of sanitation facility, food production index, GDP per capita, and concentration of urban population have significant negative impact on under-five mortality. Further, total fertility rate is significantly associated (positive) with under-five mortality which indicates relative change in fertility is related to relative change in under-five mortality. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=arbon%20dioxide%20%28CO2%29" title=" arbon dioxide (CO2)"> arbon dioxide (CO2)</a>, <a href="https://publications.waset.org/abstracts/search?q=under-five%20mortality%20%280q5%29" title=" under-five mortality (0q5)"> under-five mortality (0q5)</a>, <a href="https://publications.waset.org/abstracts/search?q=gross%20domestic%20product%20%28GDP%29" title=" gross domestic product (GDP)"> gross domestic product (GDP)</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20population" title=" urban population"> urban population</a>, <a href="https://publications.waset.org/abstracts/search?q=food%20production" title=" food production"> food production</a>, <a href="https://publications.waset.org/abstracts/search?q=panel%20corrected%20standard%20errors%20%28PCSE%29" title=" panel corrected standard errors (PCSE)"> panel corrected standard errors (PCSE)</a>, <a href="https://publications.waset.org/abstracts/search?q=generalized%20method%20of%20moments%20%28GMM%29" title=" generalized method of moments (GMM)"> generalized method of moments (GMM)</a> </p> <a href="https://publications.waset.org/abstracts/40651/association-between-carbon-dioxide-co2-emission-and-under-five-mortality-panel-data-evidence-from-100-countries" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/40651.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">309</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8920</span> A Description Analysis of Mortality Rate of Human Infection with Avian Influenza A(H7N9) Virus in China</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lei%20Zhou">Lei Zhou</a>, <a href="https://publications.waset.org/abstracts/search?q=Chao%20Li"> Chao Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Ruiqi%20Ren"> Ruiqi Ren</a>, <a href="https://publications.waset.org/abstracts/search?q=Dan%20Li"> Dan Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Yali%20Wang"> Yali Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Daxin%20Ni"> Daxin Ni</a>, <a href="https://publications.waset.org/abstracts/search?q=Zijian%20Feng"> Zijian Feng</a>, <a href="https://publications.waset.org/abstracts/search?q=Qun%20Li"> Qun Li</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Since the first human infection with avian influenza A(H7N9) case was reported in China on 31 March 2013, five epidemics have been observed in China through February 2013 and September 2017. Though the overall mortality rate of H7N9 has remained as high as around 40% throughout the five epidemics, the specific mortality rate in Mainland China varied by provinces. We conducted a descriptive analysis of mortality rates of H7N9 cases to explore the various severity features of the disease and then to provide clues of further analyses of potential factors associated with the severity of the disease. Methods: The data for analysis originated from the National Notifiable Infectious Disease Report and Surveillance System (NNIDRSS). The surveillance system and identification procedure for H7N9 infection have not changed in China since 2013. The definition of a confirmed H7N9 case is as same as previous reports. Mortality rates of H7N9 cases are described and compared by time and location of reporting, age and sex, and genetic features of H7N9 virus strains. Results: The overall mortality rate, the male and female specific overall rates of H7N9 is 39.6% (608/1533), 40.3% (432/1072) and 38.2% (176/461), respectively. There was no significant difference between the mortality rates of male and female. The age-specific mortality rates are significantly varied by age groups (χ²=38.16, p < 0.001). The mortality of H7N9 cases in the age group between 20 and 60 (33.17%) and age group of over 60 (51.16%) is much higher than that in the age group of under 20 (5.00%). Considering the time of reporting, the mortality rates of cases which were reported in the first (40.57%) and fourth (42.51%) quarters of each year are significantly higher than the mortality of cases which were reported in the second (36.02%) and third (27.27%) quarters (χ²=75.18, p < 0.001). The geographic specific mortality rates vary too. The mortality rates of H7N9 cases reported from the Northeast China (66.67%) and Westeast China (56.52%) are significantly higher than that of H7N9 cases reported from the remained area of mainland China. The mortality rate of H7N9 cases reported from the Central China is the lowest (34.38%). The mortality rates of H7N9 cases reported from rural (37.76%) and urban (38.96%) areas are similar. The mortality rate of H7N9 cases infected with the highly pathogenic avian influenza A(H7N9) virus (48.15%) is higher than the rate of H7N9 cases infected with the low pathogenic avian influenza A(H7N9) virus (37.57%), but the difference is not statistically significant. Preliminary analyses showed that age and some clinical complications such as respiratory failure, heart failure, and septic shock could be potential risk factors associated with the death of H7N9 cases. Conclusions: The mortality rates of H7N9 cases varied by age, sex, time of reporting and geographical location in mainland China. Further in-depth analyses and field investigations of the factors associated with the severity of H7N9 cases need to be considered. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=H7N9%20virus" title="H7N9 virus">H7N9 virus</a>, <a href="https://publications.waset.org/abstracts/search?q=Avian%20Influenza" title=" Avian Influenza"> Avian Influenza</a>, <a href="https://publications.waset.org/abstracts/search?q=mortality" title=" mortality"> mortality</a>, <a href="https://publications.waset.org/abstracts/search?q=China" title=" China"> China</a> </p> <a href="https://publications.waset.org/abstracts/85904/a-description-analysis-of-mortality-rate-of-human-infection-with-avian-influenza-ah7n9-virus-in-china" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/85904.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">245</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8919</span> Lee-Carter Mortality Forecasting Method with Dynamic Normal Inverse Gaussian Mortality Index </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Funda%20Kul">Funda Kul</a>, <a href="https://publications.waset.org/abstracts/search?q=%C4%B0smail%20G%C3%BCr"> İsmail Gür</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Pension scheme providers have to price mortality risk by accurate mortality forecasting method. There are many mortality-forecasting methods constructed and used in literature. The Lee-Carter model is the first model to consider stochastic improvement trends in life expectancy. It is still precisely used. Mortality forecasting is done by mortality index in the Lee-Carter model. It is assumed that mortality index fits ARIMA time series model. In this paper, we propose and use dynamic normal inverse gaussian distribution to modeling mortality indes in the Lee-Carter model. Using population mortality data for Italy, France, and Turkey, the model is forecasting capability is investigated, and a comparative analysis with other models is ensured by some well-known benchmarking criterions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=mortality" title="mortality">mortality</a>, <a href="https://publications.waset.org/abstracts/search?q=forecasting" title=" forecasting"> forecasting</a>, <a href="https://publications.waset.org/abstracts/search?q=lee-carter%20model" title=" lee-carter model"> lee-carter model</a>, <a href="https://publications.waset.org/abstracts/search?q=normal%20inverse%20gaussian%20distribution" title=" normal inverse gaussian distribution"> normal inverse gaussian distribution</a> </p> <a href="https://publications.waset.org/abstracts/39750/lee-carter-mortality-forecasting-method-with-dynamic-normal-inverse-gaussian-mortality-index" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/39750.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">361</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8918</span> Bringing the Confidence Intervals into Choropleth Mortality Map: An Example of Tainan, Taiwan</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tzu-Jung%20Tseng">Tzu-Jung Tseng</a>, <a href="https://publications.waset.org/abstracts/search?q=Pei-Hsuen%20Han"> Pei-Hsuen Han</a>, <a href="https://publications.waset.org/abstracts/search?q=Tsung-Hsueh%20Lu"> Tsung-Hsueh Lu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Choropleth mortality map is commonly used to identify areas with higher mortality risk. However, the use of choropleth map alone might result in the misinterpretation of differences in mortality rates between areas. Two areas with different color shades might not actually have a significant difference in mortality rates. The mortality rates estimated for an area with a small population would be less stable. We suggest of bringing the 95% confidence intervals (CI) into the choropleth mortality map to help users interpret the areal mortality rate difference more properly. Method: In the first choropleth mortality map, we used only three color to indicate standardized mortality ratio (SMR) for each district in Tainan, Taiwan. The red color denotes that the SMR of that district was significantly higher than the Tainan average; on the contrary, the green color suggests that the SMR of that district was significantly lower than the Tainan average. The yellow color indicates that the SMR of that district was not statistically significantly different from the Tainan average. In the second choropleth mortality map, we used traditional sequential color scheme (color ramp) for different SMR in 37 districts in Tainan City with bar chart of each SMR with 95% CI in which the users could examine if the line of 95% CI of SMR of two districts overlapped (nonsignificant difference). Results: The all-causes SMR of each district in Tainan for 2008 to 2013 ranged from 0.77 (95% CI 0.75 to 0.80) in East District to 1.39 Beimen (95% CI 1.25 to 1.52). In the first choropleth mortality map, only 16 of 37 districts had red color and 8 districts had green color. For different causes of death, the number of districts with red color differed. In the first choropleth mortality map we added a bar chart with line of 95% CI of SMR in each district, in which the users could visualize the SMR differences between districts. Conclusion: Through the use of 95% CI the users could interpret the aral mortality differences more properly. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=choropleth%20map" title="choropleth map">choropleth map</a>, <a href="https://publications.waset.org/abstracts/search?q=small%20area%20variation" title=" small area variation"> small area variation</a>, <a href="https://publications.waset.org/abstracts/search?q=standardized%20mortality%20ratio%20%28SMR%29" title=" standardized mortality ratio (SMR)"> standardized mortality ratio (SMR)</a>, <a href="https://publications.waset.org/abstracts/search?q=Taiwan" title=" Taiwan"> Taiwan</a> </p> <a href="https://publications.waset.org/abstracts/61883/bringing-the-confidence-intervals-into-choropleth-mortality-map-an-example-of-tainan-taiwan" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/61883.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">325</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8917</span> Impact of Health Indicators on Economic Growth: Application of Ardl Model on Pakistan’s Data Set</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sheraz%20Ahmad%20Choudhary">Sheraz Ahmad Choudhary</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Health plays a vital role in the growth. The study examined the effect of health indicator on the growth of Pakistan. ARDL model is used to check the growth rate which is affected by the health by using the time series date of Pakistan from 1990 to 2017. Health indicator, fertility rate, life expectancy, foreign direct investment, and infant mortality rate are variables Where the unit root is applied to check the stationarity of the model. consequences find a significant relationship between GDP, foreign direct investment, fertility rate, and life expectancy in the short run, whereas mortality rate effected negatively to economic growth but have significant values. In the long run, foreign direct investment (FDI) and fertility rate(FR) have significantly influenced the GDP. The results show thateconomic growth is positively stimulated by most of the health indicators. The study accomplishes that nations can achieve a high level of economic growth by increasing wellbeing human capital. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=economic%20growth" title="economic growth">economic growth</a>, <a href="https://publications.waset.org/abstracts/search?q=health%20expenditures" title=" health expenditures"> health expenditures</a>, <a href="https://publications.waset.org/abstracts/search?q=fertility%20rate" title=" fertility rate"> fertility rate</a>, <a href="https://publications.waset.org/abstracts/search?q=human%20capital" title=" human capital"> human capital</a>, <a href="https://publications.waset.org/abstracts/search?q=life%20expectancy" title=" life expectancy"> life expectancy</a>, <a href="https://publications.waset.org/abstracts/search?q=foreign%20direct%20investment" title=" foreign direct investment"> foreign direct investment</a>, <a href="https://publications.waset.org/abstracts/search?q=and%20infant%20mortality%20rate" title=" and infant mortality rate"> and infant mortality rate</a> </p> <a href="https://publications.waset.org/abstracts/150373/impact-of-health-indicators-on-economic-growth-application-of-ardl-model-on-pakistans-data-set" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/150373.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">129</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8916</span> Outcome of Obstetric Admission to General Intensive Care over a Period of 3 Years</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kamel%20Abdelaziz%20Mohamed">Kamel Abdelaziz Mohamed</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Intoduction:Inadequate knowledge about obstetric admission and infrequent dealing with the obstetric patients in ICU results in high mortality and morbidity. Aim of the work:To evaluate the indications, course, severity of illness, and outcome of obstetric patients admitted to the intensive care unit (ICU). Patients and Methods: We collected baseline data and acute physiology and chronic health evaluation II (APACHE II) scores. ICU mortality was the primary outcome. Results: Seventy obstetric patients were admitted to the ICU over 3 years, 36 of these patients (51.4 %) were admitted during the antepartum period. The primary obstetric indication for ICU admission was pregnancy-induced hypertension (22 patients, 31.4%), followed by sepsis (8 patients, 11.4%) as the leading non-obstetric admission. The mean APACHE II score was 19.6. The predicted mortality rate based on the APACHE II score was 22%, however, only 4 maternal deaths (5.7%) were among the obstetric patients admitted to the ICU. Conclusion: Evaluation of obstetric patients by (APACHE II) scores showed higher predicted mortality rate, however the overall mortality was lower. Regular follow up, together with early detection of complications and prompt ICU admission necessitating proper management by specialized team can improve mortality. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=obstetric" title="obstetric">obstetric</a>, <a href="https://publications.waset.org/abstracts/search?q=complication" title=" complication"> complication</a>, <a href="https://publications.waset.org/abstracts/search?q=postpartum" title=" postpartum"> postpartum</a>, <a href="https://publications.waset.org/abstracts/search?q=sepsis" title=" sepsis"> sepsis</a> </p> <a href="https://publications.waset.org/abstracts/20447/outcome-of-obstetric-admission-to-general-intensive-care-over-a-period-of-3-years" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/20447.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">307</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8915</span> Performance the SOFA and APACHEII Scoring System to Predicate the Mortality of the ICU Cases</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yu-Chuan%20Huang">Yu-Chuan Huang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: There is a higher mortality rate for unplanned transfer to intensive care units. It also needs a longer length of stay and makes the intensive care unit beds cannot be effectively used. It affects the immediate medical treatment of critically ill patients, resulting in a drop in the quality of medical care. Purpose: The purpose of this study was using SOFA and APACHEII score to analyze the mortality rate of the cases transferred from ED to ICU. According to the score that should be provide an appropriate care as early as possible. Methods: This study was a descriptive experimental design. The sample size was estimated at 220 to reach a power of 0.8 for detecting a medium effect size of 0.30, with a 0.05 significance level, using G-power. Considering an estimated follow-up loss, the required sample size was estimated as 242 participants. Data were calculated by medical system of SOFA and APACHEII score that cases transferred from ED to ICU in 2016. Results: There were 233 participants meet the study. The medical records showed 33 participants’ mortality. Age and sex with QSOFA , SOFA and sex with APACHEII showed p>0.05. Age with APCHHII in ED and ICU showed r=0.150, 0,268 (p < 0.001**). The score with mortality risk showed: ED QSOFA is r=0.235 (p < 0.001**), exp(B)=1.685(p = 0.007); ICU SOFA 0.78 (p < 0.001**), exp(B)=1.205(p < 0.001). APACHII in ED and ICU showed r= 0.253, 0.286 (p < 0.001**), exp(B) = 1.041,1.073(p = 0.017,0.001). For SOFA, a cutoff score of above 15 points was identified as a predictor of the 95% mortality risk. Conclusions: The SOFA and APACHE II were calculated based on initial laboratory data in the Emergency Department, and during the first 24 hours of ICU admission. In conclusion, the SOFA and APACHII score is significantly associated with mortality and strongly predicting mortality. Early predictors of morbidity and mortality, which we can according the predicting score, and provide patients with a detail assessment and proper care, thereby reducing mortality and length of stay. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=SOFA" title="SOFA">SOFA</a>, <a href="https://publications.waset.org/abstracts/search?q=APACHEII" title=" APACHEII"> APACHEII</a>, <a href="https://publications.waset.org/abstracts/search?q=mortality" title=" mortality"> mortality</a>, <a href="https://publications.waset.org/abstracts/search?q=ICU" title=" ICU"> ICU</a> </p> <a href="https://publications.waset.org/abstracts/84286/performance-the-sofa-and-apacheii-scoring-system-to-predicate-the-mortality-of-the-icu-cases" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/84286.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">147</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8914</span> Breast Cancer Mortality and Comorbidities in Portugal: A Predictive Model Built with Real World Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Cec%C3%ADlia%20M.%20Ant%C3%A3o">Cecília M. Antão</a>, <a href="https://publications.waset.org/abstracts/search?q=Paulo%20Jorge%20Nogueira"> Paulo Jorge Nogueira</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Breast cancer (BC) is the first cause of cancer mortality among Portuguese women. This retrospective observational study aimed at identifying comorbidities associated with BC female patients admitted to Portuguese public hospitals (2010-2018), investigating the effect of comorbidities on BC mortality rate, and building a predictive model using logistic regression. Results showed that the BC mortality in Portugal decreased in this period and reached 4.37% in 2018. Adjusted odds ratio indicated that secondary malignant neoplasms of liver, of bone and bone marrow, congestive heart failure, and diabetes were associated with an increased chance of dying from breast cancer. Although the Lisbon district (the most populated area) accounted for the largest percentage of BC patients, the logistic regression model showed that, besides patient’s age, being resident in Bragança, Castelo Branco, or Porto districts was directly associated with an increase of the mortality rate. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=breast%20cancer" title="breast cancer">breast cancer</a>, <a href="https://publications.waset.org/abstracts/search?q=comorbidities" title=" comorbidities"> comorbidities</a>, <a href="https://publications.waset.org/abstracts/search?q=logistic%20regression" title=" logistic regression"> logistic regression</a>, <a href="https://publications.waset.org/abstracts/search?q=adjusted%20odds%20ratio" title=" adjusted odds ratio"> adjusted odds ratio</a> </p> <a href="https://publications.waset.org/abstracts/143667/breast-cancer-mortality-and-comorbidities-in-portugal-a-predictive-model-built-with-real-world-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/143667.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">87</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8913</span> Spatiotemporal Modeling of Under-Five Mortality and Associated Risk Factors in Ethiopia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Melkamu%20A.%20Zeru">Melkamu A. Zeru</a>, <a href="https://publications.waset.org/abstracts/search?q=Aweke%20A.%20Mitiku"> Aweke A. Mitiku</a>, <a href="https://publications.waset.org/abstracts/search?q=Endashaw%20Amuka"> Endashaw Amuka</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Under-five mortality is the likelihood that a baby will pass away before turning exactly 5 years old, represented as a percentage per 1,000 live births. Exploring the spatial distribution and identifying the temporal pattern is important to reducing under-five child mortality globally, including in Ethiopia. Thus, this study aimed to identify the risk factors of under-five mortality and the spatiotemporal variation in Ethiopian administrative zones. Method: This study used the 2000-2016 Ethiopian Demographic and Health Survey (EDHS) data, which were collected using a two-stage sampling method. A total of 43,029 (10,873 in 2000, 9,861 in 2005, 11,654 in 2011, and 10,641 in 2016) weighted sample under-five child mortality was used. The space-time dynamic model was employed to account for spatial and time effects in 65 administrative zones in Ethiopia. Results: From the result of a general nesting spatial-temporal dynamic model, there was a significant space-time interaction effect [γ = -0.1444, 95 % CI (-0.6680, -0.1355)] for under-five mortality. The increase in the percentages of mothers illiteracy [𝛽 = 0.4501, 95% CI (0.2442, 0.6559)], not vaccinated[𝛽= 0.7681, 95% CI (0.5683, 0.9678)], unimproved water[𝛽= 0.5801, CI (0.3793, 0.7808)] were increased death rates for under five children while increased percentage of contraceptive use [𝛽= -0.6609, 95% CI (-0.8636, -0.4582)] and ANC visit > 4 times [𝛽= -0.1585, 95% CI(-0.1812, -0.1357)] were contributed to the decreased under-five mortality rate at the zone in Ethiopia. Conclusions: Even though the mortality rate for children under five has decreased over time, still there is still higher in different zones of Ethiopia. There exists spatial and temporal variation in under-five mortality among zones. Therefore, it is very important to consider spatial neighbourhoods and temporal context when aiming to avoid under-five mortality. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=under-five%20children%20mortality" title="under-five children mortality">under-five children mortality</a>, <a href="https://publications.waset.org/abstracts/search?q=space-time%20dynamic" title=" space-time dynamic"> space-time dynamic</a>, <a href="https://publications.waset.org/abstracts/search?q=spatiotemporal" title=" spatiotemporal"> spatiotemporal</a>, <a href="https://publications.waset.org/abstracts/search?q=Ethiopia" title=" Ethiopia"> Ethiopia</a> </p> <a href="https://publications.waset.org/abstracts/187157/spatiotemporal-modeling-of-under-five-mortality-and-associated-risk-factors-in-ethiopia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/187157.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">39</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8912</span> Low Energy Mechanism in Pelvic Trauma at Elderly</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ravid%20Yinon">Ravid Yinon</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: Pelvic trauma causes high mortality, particularly among the elderly population. Pelvic injury ranges from low-energy incidents such as falls to high-energy trauma like motor vehicle accidents. The mortality rate among high-energy trauma patients is higher, as can be expected. The elderly population is more vulnerable to pelvic trauma even at low energy mechanisms due to the fragility and diminished physiological reserve of these patients. The aim of this study is to examine whether there is a higher long-term mortality in pelvic injuries in the elderly from the low-energy mechanism than those injured in high energy. Methods: A retrospective cohort study was conducted in a level 1 trauma center with injured patients aged 65 years and over with pelvic trauma. The patients were divided into two groups of low and high-energy mechanisms of injury. Multivariate analysis was conducted to characterize the differences between the groups. Results: There were 585 consecutive injured patients over the age of 65 with a documented pelvic injury who were treated at the primary trauma center between 2008-2020. The injured in the high energy group were younger (mean HE- 75.18, LE-80.73), with fewer comorbidities (mean 0.78 comorbidities at HE and 1.28 at LE), more men (52.6% at HE and 27.4% at LE), were consumed more treatments facilities such as angioembolization, ICU admission, emergency surgeries and blood products transfusion and higher mortality rate at admission (HE- 19/133, 14.28%, LE- 10/452, 2.21%) compared to the low energy group. However, in a long-term follow-up of one year after the injury, mortality in the low-energy group was significantly higher (HE- 14/114, 12.28%, LE- 155/442, 35.06%). Discussion: Although it can be expected that in the mechanism of high energy, the mortality rate in the long term would be higher, it was found that mortality at the low energy patient was higher. Apparently, low-energy pelvic injury in geriatric patients is a measure of frailty in these patients, causes injury to more frail and morbid patients, and is a predictor of mortality in this population in the long term. Conclusion: The long-term follow-up of injured elderly with pelvic trauma should be more intense, and the healthcare provider should put more emphasis on the rehabilitation of these special patient populations in an attempt to prevent long-term mortality. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=pelvic%20trauma" title="pelvic trauma">pelvic trauma</a>, <a href="https://publications.waset.org/abstracts/search?q=elderly%20trauma" title=" elderly trauma"> elderly trauma</a>, <a href="https://publications.waset.org/abstracts/search?q=high%20energy%20trauma" title=" high energy trauma"> high energy trauma</a>, <a href="https://publications.waset.org/abstracts/search?q=low%20energy%20trauma" title=" low energy trauma"> low energy trauma</a> </p> <a href="https://publications.waset.org/abstracts/184640/low-energy-mechanism-in-pelvic-trauma-at-elderly" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/184640.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">52</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8911</span> Analysis of Factors Affecting the Number of Infant and Maternal Mortality in East Java with Geographically Weighted Bivariate Generalized Poisson Regression Method</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Luh%20Eka%20Suryani">Luh Eka Suryani</a>, <a href="https://publications.waset.org/abstracts/search?q=Purhadi"> Purhadi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Poisson regression is a non-linear regression model with response variable in the form of count data that follows Poisson distribution. Modeling for a pair of count data that show high correlation can be analyzed by Poisson Bivariate Regression. Data, the number of infant mortality and maternal mortality, are count data that can be analyzed by Poisson Bivariate Regression. The Poisson regression assumption is an equidispersion where the mean and variance values are equal. However, the actual count data has a variance value which can be greater or less than the mean value (overdispersion and underdispersion). Violations of this assumption can be overcome by applying Generalized Poisson Regression. Characteristics of each regency can affect the number of cases occurred. This issue can be overcome by spatial analysis called geographically weighted regression. This study analyzes the number of infant mortality and maternal mortality based on conditions in East Java in 2016 using Geographically Weighted Bivariate Generalized Poisson Regression (GWBGPR) method. Modeling is done with adaptive bisquare Kernel weighting which produces 3 regency groups based on infant mortality rate and 5 regency groups based on maternal mortality rate. Variables that significantly influence the number of infant and maternal mortality are the percentages of pregnant women visit health workers at least 4 times during pregnancy, pregnant women get Fe3 tablets, obstetric complication handled, clean household and healthy behavior, and married women with the first marriage age under 18 years. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adaptive%20bisquare%20kernel" title="adaptive bisquare kernel">adaptive bisquare kernel</a>, <a href="https://publications.waset.org/abstracts/search?q=GWBGPR" title=" GWBGPR"> GWBGPR</a>, <a href="https://publications.waset.org/abstracts/search?q=infant%20mortality" title=" infant mortality"> infant mortality</a>, <a href="https://publications.waset.org/abstracts/search?q=maternal%20mortality" title=" maternal mortality"> maternal mortality</a>, <a href="https://publications.waset.org/abstracts/search?q=overdispersion" title=" overdispersion"> overdispersion</a> </p> <a href="https://publications.waset.org/abstracts/98212/analysis-of-factors-affecting-the-number-of-infant-and-maternal-mortality-in-east-java-with-geographically-weighted-bivariate-generalized-poisson-regression-method" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/98212.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">160</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8910</span> Risk Factors of Hospital Acquired Infection Mortality in a Tunisian Intensive Care Unit</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ben%20Cheikh%20Asma">Ben Cheikh Asma</a>, <a href="https://publications.waset.org/abstracts/search?q=Bouafia%20Nabiha"> Bouafia Nabiha</a>, <a href="https://publications.waset.org/abstracts/search?q=Ammar%20Asma"> Ammar Asma</a>, <a href="https://publications.waset.org/abstracts/search?q=Ezzi%20Olfa"> Ezzi Olfa</a>, <a href="https://publications.waset.org/abstracts/search?q=Meddeb%20Khaoula"> Meddeb Khaoula</a>, <a href="https://publications.waset.org/abstracts/search?q=Chouch%C3%A8ne%20Imed"> Chouchène Imed</a>, <a href="https://publications.waset.org/abstracts/search?q=Boussarsar%20Hamadi"> Boussarsar Hamadi</a>, <a href="https://publications.waset.org/abstracts/search?q=Njah%20Mansour"> Njah Mansour</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Hospital Acquired Infection (HAI) constitutes an important worldwide health problem. It was associated with high mortality rate in intensive care units (ICU). This study aimed to determine HAI mortality rate in Tunisian intensive care units and identify its risk factors. Methods: We conducted a prospective observational cohort study over a 12 months period (September 15th 2015 to September 15 th 2016) in the adult medical ICU of University Hospital-Farhat Hached (Sousse-Tunisia). All patients admitted in the ICU for more than 48 hours were included in the study. We used an anonymous standardized survey record form to collect data by a medical hygienist assisted by an intensivist. We adopted definitions of Center for Diseases Control and prevention of Atlanta to detect HAI, Kaplan Meier survival analysis and Cox proportional hazard regression to identify independent risk factor of HAI mortality. Results: Of 171 patients, 67 developed ICU-acquired infection (global incidence rate=39.2%). The mean age of patients was 59 ± 21.2 years and 60.8% were male. The most frequently identified infections were pulmonary acquired infection (ventilator associated pneumonia (VAP) and infected atelectasis with density rates 21.4 VAP/1000 days of mechanical ventilation and 9.4 infected atelectasis /1000 days of mechanical ventilation; respectively) and central venous catheter associated infection (CVC - AI) with density rate 28.4 CVC-AI / 1000 CVC-days). HAI mortality rate was 66.7% (n=44). The median survival was 20 days 3.36, 95% Confidential Interval [13.39 – 26.60]. Specific mortality rates according to infectious site were 65.5%, 36.4% and 4.5% respectively for VAP, CVC associated infection and infected atelectasis. In univariate analysis, a significant associations between mortality and cardiovascular history (p=0.04) tracheotomy (p=0.00), peripheral venous catheterization (p=0.04), VAP (p=0.04) and infected atelectasis (p=0.04) were detected. Independent risk factors for HAI mortality were VAP with Hazard Ratio = 3.14, 95% Confidential Interval [1.63 – 6.05] (p=0.001) and tracheotomy (Hazard Ratio=0.22, 95% Confidential Interval [0.10 – 0.44], p=0.000). Conclusions: In the present study, hospital acquired infection mortality rate was relatively high. We need to intensify the fight against these infections especially ventilator-associated pneumonia that is associated with higher risk of mortality in many studies. Thus, more effective infection control interventions were necessary in our hospital. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=hospital%20acquired%20infection" title="hospital acquired infection">hospital acquired infection</a>, <a href="https://publications.waset.org/abstracts/search?q=intensive%20care%20unit" title=" intensive care unit"> intensive care unit</a>, <a href="https://publications.waset.org/abstracts/search?q=mortality" title=" mortality"> mortality</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20factors" title=" risk factors"> risk factors</a> </p> <a href="https://publications.waset.org/abstracts/65617/risk-factors-of-hospital-acquired-infection-mortality-in-a-tunisian-intensive-care-unit" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/65617.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">485</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8909</span> The Admitting Hemogram as a Predictor for Severity and in-Hospital Mortality in Acute Pancreatitis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Florge%20Francis%20A.%20Sy">Florge Francis A. Sy</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Acute pancreatitis (AP) is an inflammatory condition of the pancreas with local and systemic complications. Severe acute pancreatitis (SAP) has a higher mortality rate. Laboratory parameters like the neutrophil-to-lymphocyte ratio (NLR), red cell distribution width (RDW), and mean platelet volume (MPV) have been associated with SAP but with conflicting results. This study aims to determine the predictive value of these parameters on the severity and in-hospital mortality of AP. This retrospective, cross-sectional study was done in a private hospital in Cebu City, Philippines. One-hundred five patients were classified according to severity based on the modified Marshall scoring. The admitting hemogram, including the NLR, RDW, and MPV, was obtained from the complete blood count (CBC). Cut-off values for severity and in-hospital mortality were derived from the ROC. Association between NLR, RDW, and MPV with SAP and mortality were determined with a p-value of < 0.05 considered significant. The mean age for AP was 47.6 years, with 50.5% being male. Most had an unknown cause (49.5%), followed by a biliary cause (37.1%). Of the 105 patients, 23 patients had SAP, and 4 died. Older age, longer in-hospital duration, congestive heart failure, elevated creatinine, urea nitrogen, and white blood cell count were seen in SAP. The NLR was associated with in-hospital mortality using a cut-off of > 10.6 (OR 1.133, 95% CI, p-value 0.003) with 100% sensitivity, 70.3% specificity, 11.76% PPV and 100% NPV (AUC 0.855). The NLR was not associated with SAP. The RDW and MPV were not associated with SAP and mortality. The admitting NLR is, therefore, an easily accessible parameter that can predict in-hospital mortality in acute pancreatitis. Although the present study did not show an association of NLR with SAP nor RDW and MPV with both SAP and mortality, further studies are suggested to establish their clinical value. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=acute%20pancreatitis" title="acute pancreatitis">acute pancreatitis</a>, <a href="https://publications.waset.org/abstracts/search?q=mean%20platelet%20volume" title=" mean platelet volume"> mean platelet volume</a>, <a href="https://publications.waset.org/abstracts/search?q=neutrophil-lymphocyte%20ratio" title=" neutrophil-lymphocyte ratio"> neutrophil-lymphocyte ratio</a>, <a href="https://publications.waset.org/abstracts/search?q=red%20cell%20distribution%20width" title=" red cell distribution width"> red cell distribution width</a> </p> <a href="https://publications.waset.org/abstracts/133291/the-admitting-hemogram-as-a-predictor-for-severity-and-in-hospital-mortality-in-acute-pancreatitis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/133291.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">124</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8908</span> Neonatal Mortality, Infant Mortality, and Under-five Mortality Rates in the Provinces of Zimbabwe: A Geostatistical and Spatial Analysis of Public Health Policy Provisions</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jevonte%20Abioye">Jevonte Abioye</a>, <a href="https://publications.waset.org/abstracts/search?q=Dylan%20Savary"> Dylan Savary</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The aim of this research is to present a disaggregated geostatistical analysis of the subnational provincial trends of child mortality variation in Zimbabwe from a child health policy perspective. Soon after gaining independence in 1980, the government embarked on efforts towards promoting equitable health care, namely through the provision of primary health care. Government intervention programmes brought hope and promise, but achieving equity in primary health care coverage was hindered by previous existing disparities in maternal health care disproportionately concentrated in urban settings to the detriment of rural communities. The article highlights policies and programs adopted by the government during the millennium development goals period between 1990-2015 as a response to the inequities that characterised the country’s maternal health care. A longitudinal comparative method for a spatial variation on child mortality rates across provinces is developed based on geostatistical analysis. Cross-sectional and time-series data was extracted from the World Health Organisation (WHO) global health observatory data repository, demographic health survey reports, and previous academic and technical publications. Results suggest that although health care policy was uniform across provinces, not all provinces received the same antenatal and perinatal services. Accordingly, provincial rates of child mortality growth between 1994 and 2015 varied significantly. Evidence on the trends of child mortality rates and maternal health policies in Zimbabwe can be valuable for public child health policy planning and public service delivery design both in Zimbabwe and across developing countries pursuing the sustainable development agenda. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=antenatal%20care" title="antenatal care">antenatal care</a>, <a href="https://publications.waset.org/abstracts/search?q=perinatal%20care" title=" perinatal care"> perinatal care</a>, <a href="https://publications.waset.org/abstracts/search?q=infant%20mortality%20rate" title=" infant mortality rate"> infant mortality rate</a>, <a href="https://publications.waset.org/abstracts/search?q=neonatal%20mortality%20rate" title=" neonatal mortality rate"> neonatal mortality rate</a>, <a href="https://publications.waset.org/abstracts/search?q=under-five%20mortality%20rate" title=" under-five mortality rate"> under-five mortality rate</a>, <a href="https://publications.waset.org/abstracts/search?q=millennium%20development%20goals" title=" millennium development goals"> millennium development goals</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20development%20agenda" title=" sustainable development agenda"> sustainable development agenda</a> </p> <a href="https://publications.waset.org/abstracts/139328/neonatal-mortality-infant-mortality-and-under-five-mortality-rates-in-the-provinces-of-zimbabwe-a-geostatistical-and-spatial-analysis-of-public-health-policy-provisions" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/139328.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">203</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8907</span> A Survey to Determine the Incidence of Piglets' Mortality in Outdoor Farms in New Zealand</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Patrick%20C.%20H.%20Morel">Patrick C. H. Morel</a>, <a href="https://publications.waset.org/abstracts/search?q=Ian%20W.%20Barugh"> Ian W. Barugh</a>, <a href="https://publications.waset.org/abstracts/search?q=Kirsty%20L.%20Chidgey"> Kirsty L. Chidgey</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The aim of this study was to quantify the level of piglet deaths in outdoor farrowing systems in New Zealand. A total of 14 farms were visited, the farmers interviewed, and data collected. A total of 10,154 sows were kept on those farms representing an estimated 33% of the NZ sow herd or 80% of the outdoor sow herd in 2016. Data from 25,911 litters was available for the different analyses. The characteristics and reproductive performance for the years 2015-2016 from the 14 farms surveyed in this study were analysed, and the following results were obtained. The average percentage of stillbirths was 7.1% ranging between 3.5 and 10.7%, and the average pre-weaning live-born mortality was 16.7% ranging between 3.7% and 23.6%. The majority of piglet deaths (89%) occurred during the first week after birth, with 81% of deaths occurring up to day three. The number of piglets born alive was 12.3 (8.0 to 14.0), and average number of piglets weaned per sow per year was 22.4, range 10.5-27.3. The average stocking rate per ha (number of sows and mated gilts) was 15.3 and ranged from 2.8 to 28.6. The sow to boar ratio average was 20.9:1 and the range was 7.1: 1 to 63:1. The sow replacement rate ranged between 37% and 78%. There was a large variation in the piglet live-born mortality both between months within a farm and between farms within a given month. The monthly recorded piglet mortality ranged between 7.7% and 31.5%, and there was no statistically significant difference between months on the number of piglets born, born alive, weaned or on pre-weaning piglet mortality. Twelve different types of hut/farrowing systems were used on the 14 farms. No difference in piglet mortality was observed between A-Frame, A-Frame Modified and for Box-shape huts. There was a positive relationship between the average number of piglets born per litter and the number of piglets born alive (r=0.975) or the number weaned per litter (r=0.845). Moreover, as the average number of piglets born-alive increases, both pre-weaning live-born mortality rate and the number of piglets weaned increased. An increase of 1 piglet in the number born alive corresponds to an increase of 2.9% in live-born mortality and an increase of 0.56 piglets weaned. Farmers reported that staff are the key to success with the key attributes being: good and reliable with attention to detail and skills with the stock. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=mortality" title="mortality">mortality</a>, <a href="https://publications.waset.org/abstracts/search?q=piglets" title=" piglets"> piglets</a>, <a href="https://publications.waset.org/abstracts/search?q=outdoor" title=" outdoor"> outdoor</a>, <a href="https://publications.waset.org/abstracts/search?q=pig%20farm" title=" pig farm"> pig farm</a> </p> <a href="https://publications.waset.org/abstracts/107941/a-survey-to-determine-the-incidence-of-piglets-mortality-in-outdoor-farms-in-new-zealand" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/107941.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">115</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8906</span> The Population Death Model and Influencing Factors from the Data of The "Sixth Census": Zhangwan District Case Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zhou%20Shangcheng">Zhou Shangcheng</a>, <a href="https://publications.waset.org/abstracts/search?q=Yi%20Sicen"> Yi Sicen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Objective: To understand the mortality patterns of Zhangwan District in 2010 and provide the basis for the development of scientific and rational health policy. Methods: Data are collected from the Sixth Census of Zhangwan District and disease surveillance system. The statistical analysis include death difference between age, gender, region and time and the related factors. Methods developed for the Global Burden of Disease (GBD) Study by the World Bank and World Health Organization (WHO) were adapted and applied to Zhangwan District population health data. DALY rate per 1,000 was calculated for varied causes of death. SPSS 16 is used by statistic analysis. Results: From the data of death population of Zhangwan District we know the crude mortality rate was 6.03 ‰. There are significant differences of mortality rate in male and female population which was respectively 7.37 ‰ and 4.68 ‰. 0 age group population life expectancy in Zhangwan District in 2010 was 78.40 years old(Male 75.93, Female 81.03). The five leading causes of YLL in descending order were: cardiovascular diseases(42.63DALY/1000), malignant neoplasm (23.73DALY/1000), unintentional injuries (5.84DALY/1000), Respiratory diseases(5.43 DALY/1000), Respiratory infections (2.44DALY/1000). In addition, there are strong relation between the marital status , educational level and mortality in some to a certain extend. Conclusion Zhangwan District, as city level, is at lower mortality levels. The mortality of the total population of Zhangwan District has a downward trend and life expectancy is rising. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sixth%20census" title="sixth census">sixth census</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhangwan%20district" title=" Zhangwan district"> Zhangwan district</a>, <a href="https://publications.waset.org/abstracts/search?q=death%20level%20differences" title=" death level differences"> death level differences</a>, <a href="https://publications.waset.org/abstracts/search?q=influencing%20factors" title=" influencing factors"> influencing factors</a>, <a href="https://publications.waset.org/abstracts/search?q=cause%20of%20death" title=" cause of death"> cause of death</a> </p> <a href="https://publications.waset.org/abstracts/46944/the-population-death-model-and-influencing-factors-from-the-data-of-the-sixth-census-zhangwan-district-case-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/46944.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">270</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8905</span> Survival Pattern of Under-five Mortality in High Focus States in India</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rahul%20Kumar">Rahul Kumar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Under-FiveMortality Rate(U5MR)ofanationiswidelyacceptedandlong-standing indicators of well-beingofherchildren.They measuredtheprobability of dying before theageoffive(expressedper1000livebirths).TheU5MRisanappropriate indicator of the cumulative exposure totheriskofdeathduringthefirstfiveyearsoflife, and accepted globalindicator ofthehealthandsocioeconomicstatusofagiven population.Itisalsousefulforassessing theimpactofvariousintervention programmes aimed at improving child survival.Under-fivemortalitytrendsconstitutealeadingindicatorofthelevel ofchildhealthandoveralldevelopmentincountries. Objectives: The first aim of our research is to study the level, trends, and Pattern of Under-five mortality using different sources of data. The second objective is to examine the survival pattern of Under-five mortality by different background characteristics. Data Source and Methodology: SRS and NFHS data have been used forobservingthelevelandtrendofUnder-Five mortality rate. Kaplan Meier Estimate has been used to understand the survival Pattern of Under-five mortality. Result: WefindthatallmostallthestatesmadesomeprogressbyreducingU5MRin recent decades.During1992-93highestU5MR(per thousand live birth) was observed in Assam(142)followed by up(141),Odisha(131),MP(130),andBihar(127.5).While the least U5MR(perthousandlive birth)wasobservedinRajasthan(102). The highestU5MR(per thousandlive birth)isobservedinUP(78.1), followed by MP(64.9)and Chhattisgarh(63.7)which are far away from the national level(50). Among them, Uttarakhand(46.7)hadleastU5MR(perthousandlivebirth), followed by Odisha(48.6). TheU5MR(perthousandlivebirth)ofcombinedhighfocusstateis63.7whichisfar away fromthenationallevel(50). Weidentified thatthesurvivalprobability ofunder-fivechildrenfromadolescentmotherislessin comparisontootherchildrenbornby differentagegroupofmothers. thatduringneonatalperiodusually male mortality exceedsthefemale mortality butthisdifferentialreversedinthepostneonatalperiod. Astheirageincreasesand approachingtofiveyears,weidentifiedthatthesurvivalprobability ofbothsexdecreasesbut female’s survival probabilitydecrement is more than male as their ageincreases. The poorer children’s survival probability is minimum. Children using improved toilet facility has more survival probability throughout thefiveyearsthan who uses unimproved. The survival probability of children under five who got Full ANCis more than the survival probability of children under five who doesn’t get any ANC. Conclusions: Improvement of maternal education is an urgent need to improve their health seeking behavior and thus the health of their children. Awareness on reproductive health and environmental sanitation should be strengthened. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=under-five%20mortality" title="under-five mortality">under-five mortality</a>, <a href="https://publications.waset.org/abstracts/search?q=survival%20pattern" title=" survival pattern"> survival pattern</a>, <a href="https://publications.waset.org/abstracts/search?q=ANC" title=" ANC"> ANC</a>, <a href="https://publications.waset.org/abstracts/search?q=trend" title=" trend"> trend</a> </p> <a href="https://publications.waset.org/abstracts/145510/survival-pattern-of-under-five-mortality-in-high-focus-states-in-india" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/145510.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">134</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8904</span> Supply Side Barriers to Maternal Health Care Utilization in District Gwadar, Balochistan</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Changaiz%20Khan">Changaiz Khan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Pakistan has the highest rates of maternal mortality in South Asia. From the year 2000 to 2017 the global rate of maternal mortality has decreased up to 39 %. In the context of South Asia, it has decreased by 59% since 2000s. Pakistan has also reduced the rate of maternal mortality, but there is a difference on the provincial level. According to the report of the National Institute of Population Studies (NIPS) conducted in 2020, the MMR in Balochistan has crossed the ratio of most of the South Asian countries, i.e., 298 maternal deaths per 100,000 live births. In comparison, the province of Punjab has the lowest maternal mortality rate i.e. 157 deaths (per 100,000 live births). The rate of maternal mortality is much higher in Balochistan as compared to the other provinces. This research is aimed to discuss the supply side barriers and utilization of maternal healthcare services in the District Gwadar. Likert scale survey method has been used to collect data from the Healthcare Professionals from hospitals -private and government- and the maternal healthcare receiver, that is patient. Semi-structured interviews of healthcare professionals such as doctors, nurses, and Lab technicians have also been conducted. It has been found in this research study that the hospitals in Gwadar district are lagging behind in providing modern maternal healthcare to women due to the lack of staff training, medicine supply, and Laboratories. Moreover, the system of the lady health worker is also not catering to the needs of the women in District Gwadar. It has been recommended in the study that first of all the government should fulfill the supply of the medicine in the hospital. Secondly, the government should open laboratories in the hospitals. Thirdly, the government should increase the funding of the government hospital and the allocation of lady health workers in District Gwadar, Balochistan should be increased. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=maternal%20mortality" title="maternal mortality">maternal mortality</a>, <a href="https://publications.waset.org/abstracts/search?q=neonatal" title=" neonatal"> neonatal</a>, <a href="https://publications.waset.org/abstracts/search?q=postnatal" title=" postnatal"> postnatal</a>, <a href="https://publications.waset.org/abstracts/search?q=supply%20barriers" title=" supply barriers"> supply barriers</a>, <a href="https://publications.waset.org/abstracts/search?q=patients" title=" patients"> patients</a>, <a href="https://publications.waset.org/abstracts/search?q=healthcare%20professionals" title=" healthcare professionals"> healthcare professionals</a>, <a href="https://publications.waset.org/abstracts/search?q=laboratory" title=" laboratory"> laboratory</a>, <a href="https://publications.waset.org/abstracts/search?q=medical%20supply" title=" medical supply"> medical supply</a>, <a href="https://publications.waset.org/abstracts/search?q=training" title=" training"> training</a> </p> <a href="https://publications.waset.org/abstracts/184876/supply-side-barriers-to-maternal-health-care-utilization-in-district-gwadar-balochistan" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/184876.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">55</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8903</span> Examining Relationship between Resource-Curse and Under-Five Mortality in Resource-Rich Countries</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Aytakin%20Huseynli">Aytakin Huseynli</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The paper reports findings of the study which examined under-five mortality rate among resource-rich countries. Typically when countries obtain wealth citizens gain increased wellbeing. Societies with new wealth create equal opportunities for everyone including vulnerable groups. But scholars claim that this is not the case for developing resource-rich countries and natural resources become the curse for them rather than the blessing. Spillovers from natural resource curse affect the social wellbeing of vulnerable people negatively. They get excluded from the mainstream society, and their situation becomes tangible. In order to test this hypothesis, the study compared under-5 mortality rate among resource-rich countries by using independent sample one-way ANOVA. The data on under-five mortality rate came from the World Bank. The natural resources for this study are oil, gas and minerals. The list of 67 resource-rich countries was taken from Natural Resource Governance Institute. The sample size was categorized and 4 groups were created such as low, low-middle, upper middle and high-income countries based on income classification of the World Bank. Results revealed that there was a significant difference in the scores for low, middle, upper-middle and high-income countries in under-five mortality rate (F(3(29.01)=33.70, p=.000). To find out the difference among income groups, the Games-Howell test was performed and it was found that infant mortality was an issue for low, middle and upper middle countries but not for high-income countries. Results of this study are in agreement with previous research on resource curse and negative effects of resource-based development. Policy implications of the study for social workers, policy makers, academicians and social development specialists are to raise and discuss issues of marginalization and exclusion of vulnerable groups in developing resource-rich countries and suggest interventions for avoiding them. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=children" title="children">children</a>, <a href="https://publications.waset.org/abstracts/search?q=natural%20resource" title=" natural resource"> natural resource</a>, <a href="https://publications.waset.org/abstracts/search?q=extractive%20industries" title=" extractive industries"> extractive industries</a>, <a href="https://publications.waset.org/abstracts/search?q=resource-based%20development" title=" resource-based development"> resource-based development</a>, <a href="https://publications.waset.org/abstracts/search?q=vulnerable%20groups" title=" vulnerable groups"> vulnerable groups</a> </p> <a href="https://publications.waset.org/abstracts/62539/examining-relationship-between-resource-curse-and-under-five-mortality-in-resource-rich-countries" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/62539.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">254</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8902</span> The Impact of Three Different Insecticides Against Fall Armyworms on Maize Productivity, in Somalia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20Ali%20Hassan">Ahmed Ali Hassan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The fall armyworm (FAW) was first identified in 2016 in Africa. FAW is widely distributed in Somalia and severely damages the maize crop. The effect of three different pesticides used to control the autumn armyworm, Spodoptera frugiperda (Noctuidae: Lepidoptera), on maize productivity was investigated in this study. During the 2020–2021 growing season, three insecticides (Malathion 57 EC, Ampligo150 ZC, and Carbryle 85 WP) were evaluated at field demonstration plots. Our result showed that significant mortality of S. frugiperda was observed on the treatment plot treated with Amplico. After spraying, Ampligo resulted in (92.200%) larval death. Compared to Carbaryl, which was less active and only caused 36.367% mortality after application, Malathion had a moderate mortality rate of 53.733%. Consequently, our current finding shows that the three selected insecticides reduced the damage and infestation level of S. frugiperda in the maize field conditions, and the most effective treatment was Amplico. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=maize" title="maize">maize</a>, <a href="https://publications.waset.org/abstracts/search?q=fall%20armyworm" title=" fall armyworm"> fall armyworm</a>, <a href="https://publications.waset.org/abstracts/search?q=insecticides" title=" insecticides"> insecticides</a>, <a href="https://publications.waset.org/abstracts/search?q=mortality" title=" mortality"> mortality</a> </p> <a href="https://publications.waset.org/abstracts/191889/the-impact-of-three-different-insecticides-against-fall-armyworms-on-maize-productivity-in-somalia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/191889.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">29</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8901</span> Effect of Atrial Flutter on Alcoholic Cardiomyopathy</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ibrahim%20Ahmed">Ibrahim Ahmed</a>, <a href="https://publications.waset.org/abstracts/search?q=Richard%20Amoateng"> Richard Amoateng</a>, <a href="https://publications.waset.org/abstracts/search?q=Akhil%20Jain"> Akhil Jain</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20Ahmed"> Mohamed Ahmed</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Alcoholic cardiomyopathy (ACM) is a type of acquired cardiomyopathy caused by chronic alcohol consumption. Frequently ACM is associated with arrhythmias such as atrial flutter. Our aim was to characterize the patient demographics and investigate the effect of atrial flutter (AF) on ACM. This was a retrospective cohort study using the Nationwide Inpatient Sample database to identify admissions in adults with principal and secondary diagnoses of alcoholic cardiomyopathy and atrial flutter from 2019. Multivariate linear and logistic regression models were adjusted for age, gender, race, household income, insurance status, Elixhauser comorbidity score, hospital location, bed size, and teaching status. The primary outcome was all-cause mortality, and secondary outcomes were the length of stay (LOS) and total charge in USD. There was a total of 21,855 admissions with alcoholic cardiomyopathy, of which 1,635 had atrial flutter (AF-ACM). Compared to Non-AF-ACM cohort, AF-ACM cohort had fewer females (4.89% vs 14.54%, p<0.001), were older (58.66 vs 56.13 years, p<0.001), fewer Native Americans (0.61% vs2.67%, p<0.01), had fewer smaller (19.27% vs 22.45%, p<0.01) & medium-sized hospitals (23.24% vs28.98%, p<0.01), but more large-sized hospitals (57.49% vs 48.57%, p<0.01), more Medicare (40.37% vs 34.08%, p<0.05) and fewer Medicaid insured (23.55% vs 33.70%, p=<0.001), fewer hypertension (10.7% vs 15.01%, p<0.05), and more obesity (24.77% vs 16.35%, p<0.001). Compared to Non-AF-ACM cohort, there was no difference in AF-ACM cohort mortality rate (6.13% vs 4.20%, p=0.0998), unadjusted mortality OR 1.49 (95% CI 0.92-2.40, p=0.102), adjusted mortality OR 1.36 (95% CI 0.83-2.24, p=0.221), but there was a difference in LOS 1.23 days (95% CI 0.34-2.13, p<0.01), total charge $28,860.30 (95% CI 11,883.96-45,836.60, p<0.01). In patients admitted with ACM, the presence of AF was not associated with a higher all-cause mortality rate or odds of all-cause mortality; however, it was associated with 1.23 days increase in LOS and a $28,860.30 increase in total hospitalization charge. Native Americans, older age and obesity were risk factors for the presence of AF in ACM. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=alcoholic%20cardiomyopathy" title="alcoholic cardiomyopathy">alcoholic cardiomyopathy</a>, <a href="https://publications.waset.org/abstracts/search?q=atrial%20flutter" title=" atrial flutter"> atrial flutter</a>, <a href="https://publications.waset.org/abstracts/search?q=cardiomyopathy" title=" cardiomyopathy"> cardiomyopathy</a>, <a href="https://publications.waset.org/abstracts/search?q=arrhythmia" title=" arrhythmia"> arrhythmia</a> </p> <a href="https://publications.waset.org/abstracts/149617/effect-of-atrial-flutter-on-alcoholic-cardiomyopathy" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/149617.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">112</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8900</span> Model-Independent Price Bounds for the Swiss Re Mortality Bond 2003</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Raj%20Kumari%20Bahl">Raj Kumari Bahl</a>, <a href="https://publications.waset.org/abstracts/search?q=Sotirios%20Sabanis"> Sotirios Sabanis</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we are concerned with the valuation of the first Catastrophic Mortality Bond that was launched in the market namely the Swiss Re Mortality Bond 2003. This bond encapsulates the behavior of a well-defined mortality index to generate payoffs for the bondholders. Pricing this bond is a challenging task. We adapt the payoff of the terminal principal of the bond in terms of the payoff of an Asian put option and present an approach to derive model-independent bounds exploiting comonotonic theory. We invoke Jensen’s inequality for the computation of lower bounds and employ Lagrange optimization technique to achieve the upper bound. The success of these bounds is based on the availability of compatible European mortality options in the market. We carry out Monte Carlo simulations to estimate the bond price and illustrate the strength of these bounds across a variety of models. The fact that our bounds are model-independent is a crucial breakthrough in the pricing of catastrophic mortality bonds. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=mortality%20bond" title="mortality bond">mortality bond</a>, <a href="https://publications.waset.org/abstracts/search?q=Swiss%20Re%20Bond" title=" Swiss Re Bond"> Swiss Re Bond</a>, <a href="https://publications.waset.org/abstracts/search?q=mortality%20index" title=" mortality index"> mortality index</a>, <a href="https://publications.waset.org/abstracts/search?q=comonotonicity" title=" comonotonicity"> comonotonicity</a> </p> <a href="https://publications.waset.org/abstracts/54923/model-independent-price-bounds-for-the-swiss-re-mortality-bond-2003" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/54923.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">250</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8899</span> Application of Stochastic Models on the Portuguese Population and Distortion to Workers Compensation Pensioners Experience</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nkwenti%20Mbelli%20Njah">Nkwenti Mbelli Njah</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This research was motivated by a project requested by AXA on the topic of pensions payable under the workers compensation (WC) line of business. There are two types of pensions: the compulsorily recoverable and the not compulsorily recoverable. A pension is compulsorily recoverable for a victim when there is less than 30% of disability and the pension amount per year is less than six times the minimal national salary. The law defines that the mathematical provisions for compulsory recoverable pensions must be calculated by applying the following bases: mortality table TD88/90 and rate of interest 5.25% (maybe with rate of management). To manage pensions which are not compulsorily recoverable is a more complex task because technical bases are not defined by law and much more complex computations are required. In particular, companies have to predict the amount of payments discounted reflecting the mortality effect for all pensioners (this task is monitored monthly in AXA). The purpose of this research was thus to develop a stochastic model for the future mortality of the worker’s compensation pensioners of both the Portuguese market workers and AXA portfolio. Not only is past mortality modeled, also projections about future mortality are made for the general population of Portugal as well as for the two portfolios mentioned earlier. The global model was split in two parts: a stochastic model for population mortality which allows for forecasts, combined with a point estimate from a portfolio mortality model obtained through three different relational models (Cox Proportional, Brass Linear and Workgroup PLT). The one-year death probabilities for ages 0-110 for the period 2013-2113 are obtained for the general population and the portfolios. These probabilities are used to compute different life table functions as well as the not compulsorily recoverable reserves for each of the models required for the pensioners, their spouses and children under 21. The results obtained are compared with the not compulsory recoverable reserves computed using the static mortality table (TD 73/77) that is currently being used by AXA, to see the impact on this reserve if AXA adopted the dynamic tables. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=compulsorily%20recoverable" title="compulsorily recoverable">compulsorily recoverable</a>, <a href="https://publications.waset.org/abstracts/search?q=life%20table%20functions" title=" life table functions"> life table functions</a>, <a href="https://publications.waset.org/abstracts/search?q=relational%20models" title=" relational models"> relational models</a>, <a href="https://publications.waset.org/abstracts/search?q=worker%E2%80%99s%20compensation%20pensioners" title=" worker’s compensation pensioners"> worker’s compensation pensioners</a> </p> <a href="https://publications.waset.org/abstracts/75580/application-of-stochastic-models-on-the-portuguese-population-and-distortion-to-workers-compensation-pensioners-experience" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/75580.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">164</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8898</span> Descriptive Epidemiology of Mortality in Certain Species of Captive Deer in Pakistan</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Musadiq%20Idris">Musadiq Idris</a>, <a href="https://publications.waset.org/abstracts/search?q=Sajjad%20Ali"> Sajjad Ali</a>, <a href="https://publications.waset.org/abstracts/search?q=Syed%20A.%20Khaliq"> Syed A. Khaliq</a>, <a href="https://publications.waset.org/abstracts/search?q=Umer%20Farooq"> Umer Farooq</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Postmortem record of 217 captive ungulates including Black-buck (n=31), Chinkara (n=20), Hog deer (n=116), Spotted deer (n=35), Red Deer n=(04), and Rusa deer (n=11) submitted to the Veterinary Research Institute, Lahore, Pakistan was analyzed to determine the primary cause of mortality in these animals. The submissions included temporal distribution from Government wildlife captive farms, zoo, and private ownerships, over a three year period (2007-2009). The most common cause of death was found to be trauma (20.27%), followed by parasitic diseases (15.67%), bacterial diseases (11.98%), stillbirths (9.21%), snakebites (2.76%), gut affections (2.30%), neoplasia (1.38%) and starvation (0.92%). The exact cause of death could not be determined in 77 of 217 animals. Pneumonia (8.29%) and tuberculosis (3.69%) were the most common bacterial diseases. Analyses for parasitic infestation revealed tapeworms to be highest (11.05%), followed by roundworms (8.29%) and hemoparasitism (5.07%) (babesiosis and theileriosis). The mortality rate in young ungulates was lower as compared to adults (32.26% and 67.74%). Gender wise data presented higher mortality in females (55.30%) compared to males (44.70%). In conclusion, highest mortality factor in captive ungulates was trauma, followed by parasitic and bacterial infestations/infections of tapeworms and pneumonia, respectively. Furthermore, necropsies provided substantial information on etiology of death and other related epidemiological aspects. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=age" title="age">age</a>, <a href="https://publications.waset.org/abstracts/search?q=epidemiology" title=" epidemiology"> epidemiology</a>, <a href="https://publications.waset.org/abstracts/search?q=gender" title=" gender"> gender</a>, <a href="https://publications.waset.org/abstracts/search?q=mortality" title=" mortality"> mortality</a>, <a href="https://publications.waset.org/abstracts/search?q=ungulates" title=" ungulates"> ungulates</a> </p> <a href="https://publications.waset.org/abstracts/24506/descriptive-epidemiology-of-mortality-in-certain-species-of-captive-deer-in-pakistan" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/24506.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">471</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8897</span> Outcome of Emergency Response Team System in In-Hospital Cardiac Arrest</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jirapat%20Suriyachaisawat">Jirapat Suriyachaisawat</a>, <a href="https://publications.waset.org/abstracts/search?q=Ekkit%20Surakarn"> Ekkit Surakarn</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: To improve early detection and mortality rate of In- Hospital Cardiac arrest, Emergency Response Team (ERT) system was planned and implemented since June 2009 to detect pre-arrest conditions and for any concerns. The ERT consisted of on duty physicians and nurses from emergency department. ERT calling criteria consisted of acute change of HR < 40 or > 130 beats per minute, systolic blood pressure < 90mmHg, respiratory rate <8 or > 28 breaths per minute, O2 saturation < 90%, acute change in conscious state, acute chest pain or worried about the patients. From the data on ERT system implementation in our hospital in early phase (during June 2009-2011), there was no statistic significance in difference in In-Hospital cardiac arrest incidence and overall hospital mortality rate. Since the introduction of the ERT service in our hospital, we have conducted continuous educational campaign to improve awareness in an attempt to increase use of the service. Methods: To investigate outcome of ERT system in In-Hospital cardiac arrest and overall hospital mortality rate. We conducted a prospective, controlled before-and after examination of the long term effect of a ERT system on the incidence of cardiac arrest. We performed Chi -square analysis to find statistic significance. Results: Of a total 623 ERT cases from June 2009 until December 2012, there were 72 calls in 2009, 196 calls in 2010 ,139 calls in 2011 and 245 calls in 2012.The number of ERT calls per 1000 admissions in year 2009-10 was 7.69, 5.61 in 2011 and 9.38 in 2013. The number of Code blue calls per 1000 admissions decreased significantly from 2.28 to 0.99 per 1000 admissions (P value < 0.001). The incidence of cardiac arrest decreased progressively from 1.19 to 0.34 per 1000 admissions and significant in difference in year 2012 (P value < 0.001). The overall hospital mortality rate decreased by 8 % from 15.43 to 14.43 per 1000 admissions (P value 0.095). Conclusions: ERT system implementation was associated with progressive reduction in cardiac arrests over three year period, especially statistic significant in difference in 4th year after implementation. We also found an inverse association between number of ERT use and the risk of occurrence of cardiac arrests, But we have not found difference in overall hospital mortality rate. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=emergency%20response%20team" title="emergency response team">emergency response team</a>, <a href="https://publications.waset.org/abstracts/search?q=ERT" title=" ERT"> ERT</a>, <a href="https://publications.waset.org/abstracts/search?q=cardiac%20arrest" title=" cardiac arrest"> cardiac arrest</a>, <a href="https://publications.waset.org/abstracts/search?q=emergency%20medicine" title=" emergency medicine "> emergency medicine </a> </p> <a href="https://publications.waset.org/abstracts/13824/outcome-of-emergency-response-team-system-in-in-hospital-cardiac-arrest" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/13824.pdf" target="_blank" class="btn btn-primary 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