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mortality</title> <meta name="description" content="Search results for: mortality"> <meta name="keywords" content="mortality"> <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 ml-auto" 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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"> <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> 1309</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: mortality</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1309</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">360</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">1308</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">54</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">1307</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">1306</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">1305</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">1304</span> Assessment of Toxic Impact of Metals on Different Instars of Silkworm, Bombyx Mori</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Dildar%20Gogi">Muhammad Dildar Gogi</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Arshad"> Muhammad Arshad</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Ahsan%20Khan"> Muhammad Ahsan Khan</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Sufian"> M. Sufian</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmad%20Nawaz"> Ahmad Nawaz</a>, <a href="https://publications.waset.org/abstracts/search?q=Mubashir%20Iqbal"> Mubashir Iqbal</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Junaid%20Nisar"> Muhammad Junaid Nisar</a>, <a href="https://publications.waset.org/abstracts/search?q=Waleed%20Afzal%20Naveed"> Waleed Afzal Naveed</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Larvae of silkworm (Bombyx mori) exhibit very high mortality when reared on mulberry leaves collected from mulberry orchards which get contaminated with metallic/nonmetallic compounds through either drift-deposition or chemigation. There is need to screen out such metallic compound for their toxicity at their various concentrations. The present study was carried out to assess toxicity of metals in different instars of silkworm. Aqueous solutions of nine heavy-metal based salts were prepared by dissolving 50, 100, 150, 200, 250, 300, 350 and 400 mg of each salt in one liter of water and were applied on the mulberry leaves by leaf-dip methods. The results reveal that mortality in 1st, 2nd, 3rd, 4th and 5th instar larvae caused by each heavy metal salts increased with an increase in their concentrations. The 1st instar larvae were found more susceptible to metal salts followed by 2nd, 3rd, 4th and 5th instar larvae of silkworm. Overall, Nickel chloride proved more toxic for all larval instar as it demonstrated approximately 40-99% mortality. On the basis of LC2 and larval mortality, the order of toxicity of heavy metals against all five larval instar was Nickel chloride (LC₂ = 1.9-13.9 mg/L; & 15.0±1.2-69.2±1.7% mortality) followed by Chromium nitrate (LC₂ = 3.3-14.8 mg/L; & 13.3±1.4-62.4±2.8% mortality), Cobalt nitrate (LC₂ = 4.3-30.9; &11.4±0.07-54.9±2.0% mortality), Lead acetate (LC₂ =8.8-53.3 mg/L; & 9.5±1.3-46.4±2.9% mortality), Aluminum sulfate (LC₂ = 15.5-76.6 mg/L; & 8.4±0.08-42.1±2.8% mortality), Barium sulfide (LC₂ = 20.9-105.9; & 7.7±1.1-39.2±2.5% mortality), Copper sulfate (LC2 = 28.5-12.4 mg/L; & 7.3±0.06-37.1±2.4% mortality), Manganese chloride (LC₂ = 29.9-136.9 mg/L; & 6.8±0.09-35.3±1.6% mortality) and Zinc nitrate (LC₂ = 36.3-15 mg/L; & 6.2±1.2-32.1±1.9% mortality). Zinc nitrate @ 50 and 100 mg/L, Barium sulfide @ 50 mg/L, Manganese chloride @ 50 and 100 mg/L and Copper sulfate @ 50 mg/L proved safe for 5th instar larvae as these interaction attributed no mortality. All the heavy metal salts at a concentration of 50 mg/L demonstrated less than 10% mortality. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=heavy-metals" title="heavy-metals">heavy-metals</a>, <a href="https://publications.waset.org/abstracts/search?q=larval-instars" title=" larval-instars"> larval-instars</a>, <a href="https://publications.waset.org/abstracts/search?q=lethal-concentration" title=" lethal-concentration"> lethal-concentration</a>, <a href="https://publications.waset.org/abstracts/search?q=mortality" title=" mortality"> mortality</a>, <a href="https://publications.waset.org/abstracts/search?q=silkworm" title=" silkworm"> silkworm</a> </p> <a href="https://publications.waset.org/abstracts/97315/assessment-of-toxic-impact-of-metals-on-different-instars-of-silkworm-bombyx-mori" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/97315.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">219</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">1303</span> Population Dynamics of Auchenoglanis Occidentalis From Dadin-Kowa Dam, Gombe State, Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nazeef">Nazeef</a>, <a href="https://publications.waset.org/abstracts/search?q=Suleiman"> Suleiman</a>, <a href="https://publications.waset.org/abstracts/search?q=Umar"> Umar</a>, <a href="https://publications.waset.org/abstracts/search?q=Danladi%20Muhammad"> Danladi Muhammad</a>, <a href="https://publications.waset.org/abstracts/search?q=Ja%27afar%20Ali"> Ja'afar Ali</a>, <a href="https://publications.waset.org/abstracts/search?q=Zaliha%20Adamu%20Umar"> Zaliha Adamu Umar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The population dynamics of Auchenoglanis occidentalis from the Dadin-Kowa reservoir were studied. Population dynamic parameters such as growth, mortality and recruitment patterns were analyzed using length frequency data over a 12-month period employing FiSAT II software. Findings revealed that LWR (b - constant) = 2.88, K = 0.72 -yr., L∞ = 40.91 cm and Tmax = 3.57 years and Ɵ’ = 3.14. Mortality indices revealed that natural mortality (M = 1.39), fishing mortality (F = 0.22) and exploitation ratio (E = 0.14), Lc/L∞ = 0.48, Emax = 0.64, while Lopt = 26.4 cm. Uni-modal recruitment peak observed with Lm = 27.3 cm. A restocking program is suitable to ensure its continuous existence as it seems to have a low population. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fish%20population%20dynamics" title="fish population dynamics">fish population dynamics</a>, <a href="https://publications.waset.org/abstracts/search?q=auchenoglanis%20occidentalis" title=" auchenoglanis occidentalis"> auchenoglanis occidentalis</a>, <a href="https://publications.waset.org/abstracts/search?q=FISAT%20II" title=" FISAT II"> FISAT II</a>, <a href="https://publications.waset.org/abstracts/search?q=natural%20mortality" title=" natural mortality"> natural mortality</a> </p> <a href="https://publications.waset.org/abstracts/186189/population-dynamics-of-auchenoglanis-occidentalis-from-dadin-kowa-dam-gombe-state-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/186189.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">46</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">1302</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">1301</span> Child Mortality in Portuguese Speaking Africa Countries: Levels and Trends, 1975-2021</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Alcino%20Panguana">Alcino Panguana</a> </p> <p class="card-text"><strong>Abstract:</strong></p> All Portuguese-speaking African countries are in Sub-Saharan Africa, a region that has high infant mortality rates, being responsible for 49.6% of deaths in Portuguese-speaking African countries, Angola has levels of infant mortality among children, where 2017, 156 children who died before reaching 1 year of life in 1000 live births. Although there is an increase in studies that document trends and specific causes of infant mortality in each country, historical-comparative studies of infant mortality among these countries remain rare. Understanding the trend of this indicator is important for policymakers and planners in order to improve access to successful child survival operations. Lusophone Africa continues with high infant mortality rates in the order of 64 deaths per thousand births. Assuming heterogeneities that can characterize these countries, raise an analysis investigated indicator at the country level to understand the pattern and historical trend of infant mortality within Lusophone Africa from the year 2021. The result is to understand the levels and evolution of infant mortality in Portuguese-speaking African countries. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=child%20mortality" title="child mortality">child mortality</a>, <a href="https://publications.waset.org/abstracts/search?q=levels" title=" levels"> levels</a>, <a href="https://publications.waset.org/abstracts/search?q=trends" title=" trends"> trends</a>, <a href="https://publications.waset.org/abstracts/search?q=lusophone%20African%20countries" title=" lusophone African countries"> lusophone African countries</a> </p> <a href="https://publications.waset.org/abstracts/150755/child-mortality-in-portuguese-speaking-africa-countries-levels-and-trends-1975-2021" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/150755.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">142</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">1300</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">1299</span> Organizational Mortality of Insurance Organizations under the Conditions of Environmental Changes</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Erdem%20Kirkbesoglu">Erdem Kirkbesoglu</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Bugra%20Soylu"> A. Bugra Soylu</a>, <a href="https://publications.waset.org/abstracts/search?q=E.%20Deniz%20Kahraman"> E. Deniz Kahraman</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The aim of this study is to examine the effects of some variables on organizational mortality of the Turkish insurance industry and calculate the carrying capacities of Turkish insurance industry according to cities and regions. In the study, organizational mortality was tested with the level of reaching the population's carrying capacity. The findings of this study show that the insurance sales potentials can be calculated according to the provinces and regions of Turkey. It has also been proven that the organizations that feed on the same source will have a carrying capacity in the evolutionary process. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=insurance" title="insurance">insurance</a>, <a href="https://publications.waset.org/abstracts/search?q=carrying%20capacity" title=" carrying capacity"> carrying capacity</a>, <a href="https://publications.waset.org/abstracts/search?q=organizational%20mortality" title=" organizational mortality"> organizational mortality</a>, <a href="https://publications.waset.org/abstracts/search?q=organization" title=" organization"> organization</a> </p> <a href="https://publications.waset.org/abstracts/89651/organizational-mortality-of-insurance-organizations-under-the-conditions-of-environmental-changes" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/89651.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">282</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">1298</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">123</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">1297</span> Infant and Child Mortality among the Low Socio-Economic Households in India</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Narendra%20Kumar">Narendra Kumar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study uses data from the ‘National Family Health Survey (NFHS-3) 2005-06’ to investigate the predictors of infant and child mortality among low economic households in East and Northeast region. The cross tabulation, life table survival estimates and Cox proportional hazard model techniques have been used to estimate the predictors of infant and child mortality. The life table survival estimates for infant and child mortality shows that infant mortality in female child is lower in comparison to male child but with child mortality, the rates are higher for female in comparison to male child and the Cox proportional hazard model also give highly significant in female in comparison to male child. The infant and child mortality rates among poor households highest in the Central region followed by North and Northeast region and the lowest in South region in comparison to all regions of India. Education of respondent has been found a significant characteristics in both analyzes, further birth interval, respondent occupation, caste/tribe and place of delivery has substantial impact on infant and child mortality among low economic households in East and Northeast region. Finally these findings specified that an increase in parents’ education, improve health care services and improve socioeconomic conditions of low economic households which should in turn raise infant and child survival and should decrease child mortality among low economic households in India. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=infant" title="infant">infant</a>, <a href="https://publications.waset.org/abstracts/search?q=child" title=" child"> child</a>, <a href="https://publications.waset.org/abstracts/search?q=mortality" title=" mortality"> mortality</a>, <a href="https://publications.waset.org/abstracts/search?q=socio-economic" title=" socio-economic"> socio-economic</a>, <a href="https://publications.waset.org/abstracts/search?q=India" title=" India"> India</a> </p> <a href="https://publications.waset.org/abstracts/40650/infant-and-child-mortality-among-the-low-socio-economic-households-in-india" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/40650.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">1296</span> Forecasting Age-Specific Mortality Rates and Life Expectancy at Births for Malaysian Sub-Populations</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Syazreen%20N.%20Shair">Syazreen N. Shair</a>, <a href="https://publications.waset.org/abstracts/search?q=Saiful%20A.%20Ishak"> Saiful A. Ishak</a>, <a href="https://publications.waset.org/abstracts/search?q=Aida%20Y.%20Yusof"> Aida Y. Yusof</a>, <a href="https://publications.waset.org/abstracts/search?q=Azizah%20Murad"> Azizah Murad</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we forecast age-specific Malaysian mortality rates and life expectancy at births by gender and ethnic groups including Malay, Chinese and Indian. Two mortality forecasting models are adopted the original Lee-Carter model and its recent modified version, the product ratio coherent model. While the first forecasts the mortality rates for each subpopulation independently, the latter accounts for the relationship between sub-populations. The evaluation of both models is performed using the out-of-sample forecast errors which are mean absolute percentage errors (MAPE) for mortality rates and mean forecast errors (MFE) for life expectancy at births. The best model is then used to perform the long-term forecasts up to the year 2030, the year when Malaysia is expected to become an aged nation. Results suggest that in terms of overall accuracy, the product ratio model performs better than the original Lee-Carter model. The association of lower mortality group (Chinese) in the subpopulation model can improve the forecasts of high mortality groups (Malay and Indian). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=coherent%20forecasts" title="coherent forecasts">coherent forecasts</a>, <a href="https://publications.waset.org/abstracts/search?q=life%20expectancy%20at%20births" title=" life expectancy at births"> life expectancy at births</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=product-ratio%20model" title=" product-ratio model"> product-ratio model</a>, <a href="https://publications.waset.org/abstracts/search?q=mortality%20rates" title=" mortality rates"> mortality rates</a> </p> <a href="https://publications.waset.org/abstracts/61574/forecasting-age-specific-mortality-rates-and-life-expectancy-at-births-for-malaysian-sub-populations" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/61574.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">219</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">1295</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">1294</span> Socioeconomic Status and Mortality in Older People with Angina: A Population-Based Cohort Study in China</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Weiju%20Zhou">Weiju Zhou</a>, <a href="https://publications.waset.org/abstracts/search?q=Alex%20Hopkins"> Alex Hopkins</a>, <a href="https://publications.waset.org/abstracts/search?q=Ruoling%20Chen"> Ruoling Chen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: China has increased the gap in income between richer and poorer over the past 40 years, and the number of deaths from people with angina has been rising. It is unclear whether socioeconomic status (SES) is associated with increased mortality in older people with angina. Methods: Data from a cohort study of 2,380 participants aged ≥ 65 years, who were randomly recruited from 5-province urban communities were examined in China. The cohort members were interviewed to record socio-demographic and risk factors and document doctor-diagnosed angina at baseline and were followed them up in 3-10 years, including monitoring vital status. Multivariate Cox regression models were employed to examine all-cause mortality in relation to low SES. Results: The cohort follow-up identified 373 deaths occurred; 41 deaths in 208 angina patients. Compared to participants without angina (n=2,172), patients with angina had increased mortality (multivariate adjusted hazard ratio (HR) was 1.41, 95% CI 1.01-1.97). Within angina patients, the risk of mortality increased with low satisfactory income (2.51, 1.08-5.85) and having financial problem (4.00, 1.07-15.00), but significantly with levels of education and occupation. In non-angina participants, none of these four SES indicators were associated with mortality. There was a significant interaction effect between angina and low satisfactory income on mortality. Conclusions: In China, having low income and financial problem increase mortality in older people with angina. Strategies to improve economic circumstances in older people could help reduce inequality in angina survival. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=angina" title="angina">angina</a>, <a href="https://publications.waset.org/abstracts/search?q=mortality" title=" mortality"> mortality</a>, <a href="https://publications.waset.org/abstracts/search?q=older%20people" title=" older people"> older people</a>, <a href="https://publications.waset.org/abstracts/search?q=socio-economic%20status" title=" socio-economic status"> socio-economic status</a> </p> <a href="https://publications.waset.org/abstracts/115542/socioeconomic-status-and-mortality-in-older-people-with-angina-a-population-based-cohort-study-in-china" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/115542.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">118</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">1293</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">202</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">1292</span> Modeling Heat-Related Mortality Based on Greenhouse Emissions in OECD Countries</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Anderson%20Ngowa%20Chembe">Anderson Ngowa Chembe</a>, <a href="https://publications.waset.org/abstracts/search?q=John%20Olukuru"> John Olukuru</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Greenhouse emissions by human activities are known to irreversibly increase global temperatures through the greenhouse effect. This study seeks to propose a mortality model with sensitivity to heat-change effects as one of the underlying parameters in the model. As such, the study sought to establish the relationship between greenhouse emissions and mortality indices in five OECD countries (USA, UK, Japan, Canada & Germany). Upon the establishment of the relationship using correlation analysis, an additional parameter that accounts for the sensitivity of heat-changes to mortality rates was incorporated in the Lee-Carter model. Based on the proposed model, new parameter estimates were calculated using iterative algorithms for optimization. Finally, the goodness of fit for the original Lee-Carter model and the proposed model were compared using deviance comparison. The proposed model provides a better fit to mortality rates especially in USA, UK and Germany where the mortality indices have a strong positive correlation with the level of greenhouse emissions. The results of this study are of particular importance to actuaries, demographers and climate-risk experts who seek to use better mortality-modeling techniques in the wake of heat effects caused by increased greenhouse emissions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=climate%20risk" title="climate risk">climate risk</a>, <a href="https://publications.waset.org/abstracts/search?q=greenhouse%20emissions" title=" greenhouse emissions"> greenhouse emissions</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=OECD" title=" OECD"> OECD</a> </p> <a href="https://publications.waset.org/abstracts/59701/modeling-heat-related-mortality-based-on-greenhouse-emissions-in-oecd-countries" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/59701.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">343</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">1291</span> A Spatial Approach to Model Mortality Rates</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yin-Yee%20Leong">Yin-Yee Leong</a>, <a href="https://publications.waset.org/abstracts/search?q=Jack%20C.%20Yue"> Jack C. Yue</a>, <a href="https://publications.waset.org/abstracts/search?q=Hsin-Chung%20Wang"> Hsin-Chung Wang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Human longevity has been experiencing its largest increase since the end of World War II, and modeling the mortality rates is therefore often the focus of many studies. Among all mortality models, the Lee–Carter model is the most popular approach since it is fairly easy to use and has good accuracy in predicting mortality rates (e.g., for Japan and the USA). However, empirical studies from several countries have shown that the age parameters of the Lee–Carter model are not constant in time. Many modifications of the Lee–Carter model have been proposed to deal with this problem, including adding an extra cohort effect and adding another period effect. In this study, we propose a spatial modification and use clusters to explain why the age parameters of the Lee–Carter model are not constant. In spatial analysis, clusters are areas with unusually high or low mortality rates than their neighbors, where the “location” of mortality rates is measured by age and time, that is, a 2-dimensional coordinate. We use a popular cluster detection method—Spatial scan statistics, a local statistical test based on the likelihood ratio test to evaluate where there are locations with mortality rates that cannot be described well by the Lee–Carter model. We first use computer simulation to demonstrate that the cluster effect is a possible source causing the problem of the age parameters not being constant. Next, we show that adding the cluster effect can solve the non-constant problem. We also apply the proposed approach to mortality data from Japan, France, the USA, and Taiwan. The empirical results show that our approach has better-fitting results and smaller mean absolute percentage errors than the Lee–Carter model. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=mortality%20improvement" title="mortality improvement">mortality improvement</a>, <a href="https://publications.waset.org/abstracts/search?q=Lee%E2%80%93Carter%20model" title=" Lee–Carter model"> Lee–Carter model</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20statistics" title=" spatial statistics"> spatial statistics</a>, <a href="https://publications.waset.org/abstracts/search?q=cluster%20detection" title=" cluster detection"> cluster detection</a> </p> <a href="https://publications.waset.org/abstracts/93746/a-spatial-approach-to-model-mortality-rates" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/93746.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">171</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">1290</span> Evaluation of the Most Effective Insecticides against the Spodoptera Frugiperda, on the Maize Production</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> In 2016, the Fall Armyworm (FAW) was first discovered in Africa. FAW is abundantly present in Somalia and seriously harms the maize crop. This investigation examined the impact on maize productivity of three different pesticides used to combat the autumn armyworm, Spodoptera frugiperda (Noctuidae: Lepidoptera). 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. Ampligo caused over 90% larval mortality after application. Malathion had moderate activity, causing 53.733% mortality after application, while Carbaryl was less effective, causing 36.367% mortality after application. Consequently, the 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 were Amplico. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=pesticides" title="pesticides">pesticides</a>, <a href="https://publications.waset.org/abstracts/search?q=maize%20fall%20army%20worm" title=" maize fall army worm"> maize fall army worm</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>, <a href="https://publications.waset.org/abstracts/search?q=S.%20frugiperda" title=" S. frugiperda"> S. frugiperda</a> </p> <a href="https://publications.waset.org/abstracts/169800/evaluation-of-the-most-effective-insecticides-against-the-spodoptera-frugiperda-on-the-maize-production" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/169800.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">70</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">1289</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">38</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">1288</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">1287</span> Brevicoryne brassicae Compatibility with Maize in Multiple Cropping System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zunnu%20Raen%20Akhtar">Zunnu Raen Akhtar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Brevicoryne brassicae, aphid feeds on cabbage and Brassica sp. as preferred host. Brassica plants usually ripen when maize starts growing in multiple cropping systems. Experiment was conducted to observe suitability of B. brassicae by rearing it on maize as host. In a tritrophic eco-system, predator coccinellids can be found in the fields of brassica and maize. This experiment emphasized on issue of aphids growing incidence in a cropping system. Brassica is sown and harvested earlier than maize and is attacked by aphids, while maize is also attacked by aphids. Five mortality tests were conducted of B. brassicae fed on maize. Out of five mortality tests, 3 tests were conducted using 1st instar, while in two mortality tests, 2nd instars of aphids were used. Mortality tests revealed that first instar mortality was quite high on the second day, while in second instar larvae mortality was delayed up to third to the fourth day. These experiments reveal that aphids can use maize as substitute host at later instars as compared to young ones. These experiments can be foundation for studying further crop-insect interaction and sampling techniques used for this purpose. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=host%20suitability" title="host suitability">host suitability</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20brassicae" title=" B. brassicae"> B. brassicae</a>, <a href="https://publications.waset.org/abstracts/search?q=maize" title=" maize"> maize</a>, <a href="https://publications.waset.org/abstracts/search?q=tritrophic%20interaction" title=" tritrophic interaction"> tritrophic interaction</a> </p> <a href="https://publications.waset.org/abstracts/74393/brevicoryne-brassicae-compatibility-with-maize-in-multiple-cropping-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/74393.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">194</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">1286</span> Maternal Health Outcome and Economic Growth in Sub-Saharan Africa: A Dynamic Panel Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Okwan%20Frank">Okwan Frank</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Maternal health outcome is one of the major population development challenges in Sub-Saharan Africa. The region has the highest maternal mortality ratio, despite the progressive economic growth in the region during the global economic crisis. It has been hypothesized that increase in economic growth will reduce the level of maternal mortality. The purpose of this study is to investigate the existence of the negative relationship between health outcome proxy by maternal mortality ratio and economic growth in Sub-Saharan Africa. The study used the Pooled Mean Group estimator of ARDL Autoregressive Distributed Lag (ARDL) and the Kao test for cointegration to examine the short-run and long-run relationship between maternal mortality and economic growth. The results of the cointegration test showed the existence of a long-run relationship between the variables considered for the study. The long-run result of the Pooled Mean group estimates confirmed the hypothesis of an inverse relationship between maternal health outcome proxy by maternal mortality ratio and economic growth proxy by Gross Domestic Product (GDP) per capita. Thus increasing economic growth by investing in the health care systems to reduce pregnancy and childbirth complications will help reduce maternal mortality in the sub-region. <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=maternal%20mortality" title=" maternal mortality"> maternal mortality</a>, <a href="https://publications.waset.org/abstracts/search?q=pool%20mean%20group" title=" pool mean group"> pool mean group</a>, <a href="https://publications.waset.org/abstracts/search?q=Sub-Saharan%20Africa" title=" Sub-Saharan Africa"> Sub-Saharan Africa</a> </p> <a href="https://publications.waset.org/abstracts/127412/maternal-health-outcome-and-economic-growth-in-sub-saharan-africa-a-dynamic-panel-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/127412.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">158</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">1285</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">159</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">1284</span> Clinical Impact of Delirium and Antipsychotic Therapy: 10-Year Experience from a Referral Coronary Care Unit</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Niyada%20Naksuk">Niyada Naksuk</a>, <a href="https://publications.waset.org/abstracts/search?q=Thoetchai%20Peeraphatdit"> Thoetchai Peeraphatdit</a>, <a href="https://publications.waset.org/abstracts/search?q=Vitaly%20Herasevich"> Vitaly Herasevich</a>, <a href="https://publications.waset.org/abstracts/search?q=Peter%20A.%20Brady"> Peter A. Brady</a>, <a href="https://publications.waset.org/abstracts/search?q=Suraj%20Kapa"> Suraj Kapa</a>, <a href="https://publications.waset.org/abstracts/search?q=Samuel%20J.%20Asirvatham"> Samuel J. Asirvatham</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: Little is known about the safety of antipsychotic therapy for delirium in the coronary care unit (CCU). Our aim was to examine the effect of delirium and antipsychotic therapy among CCU patients. Methods: Pre-study Confusion Assessment Method-Intensive Care Unit (CAM–ICU) criteria were implemented in screening consecutive patients admitted to Mayo Clinic, Rochester, the USA from 2004 through 2013. Death status was prospectively ascertained. Results: Of 11,079 study patients, the incidence of delirium was 8.3% (n=925). Delirium was associated with an increased risk of in-hospital mortality (adjusted OR 1.49; 95% CI, 1.08-2.08; P=.02) and one-year mortality among patients who survived from CCU admission (adjusted HR 1.46; 95% CI, 1.12-1.87; P=.005). A total of 792 doses of haloperidol (5 IQR [3-10] mg/day) or quetiapine (25 IQR [13-50] mg/day) were given to 244 patients with delirium. The clinical characteristics of patients with delirium who did and did not receive antipsychotic therapy were not different (baseline corrected QT [QTc] interval 460±61 ms vs. 457±58 ms, respectively; P = 0.57). In comparison to baseline, mean QTc intervals after the first and third doses of the antipsychotics were not significantly prolonged in haloperidol (448±56, 458±57, and 450±50 ms, respectively) or quetiapine groups (459±54, 467±68, and 462±46 ms, respectively) (P > 0.05 for all). Additionally, in-hospital mortality (adjusted OR 0.67; 95% CI, 0.42-1.04; P=.07), ventricular arrhythmia (adjusted OR 0.87; 95% CI, 0.17-3.62; P=.85) and one-year mortality among the hospital survivors (adjusted HR 0.86; 95% CI 0.62-1.17; P = 0.34) were not different in patients with delirium irrespective of whether or not they received antipsychotics. Conclusions: In patients admitted to the CCU, delirium was associated with an increase in both in-hospital and one-year mortality. Low doses of haloperidol and quetiapine appeared to be safe, without an increase in risk of sudden cardiac death, in-hospital mortality, or one-year mortality in carefully monitored patients. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=arrhythmias" title="arrhythmias">arrhythmias</a>, <a href="https://publications.waset.org/abstracts/search?q=haloperidol" title=" haloperidol"> haloperidol</a>, <a href="https://publications.waset.org/abstracts/search?q=mortality" title=" mortality"> mortality</a>, <a href="https://publications.waset.org/abstracts/search?q=qtc%20interval" title=" qtc interval"> qtc interval</a>, <a href="https://publications.waset.org/abstracts/search?q=quetiapine" title=" quetiapine"> quetiapine</a> </p> <a href="https://publications.waset.org/abstracts/30814/clinical-impact-of-delirium-and-antipsychotic-therapy-10-year-experience-from-a-referral-coronary-care-unit" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/30814.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">372</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">1283</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">243</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">1282</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">1281</span> The Relationship between First-Day Body Temperature and Mortality in Traumatic Patients</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Neda%20Valizadeh">Neda Valizadeh</a>, <a href="https://publications.waset.org/abstracts/search?q=Mani%20Mofidi"> Mani Mofidi</a>, <a href="https://publications.waset.org/abstracts/search?q=Sama%20Haghighi"> Sama Haghighi</a>, <a href="https://publications.waset.org/abstracts/search?q=Ali%20Hashemaghaee"> Ali Hashemaghaee</a>, <a href="https://publications.waset.org/abstracts/search?q=Soudabeh%20Shafiee%20Ardestani"> Soudabeh Shafiee Ardestani</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: There are many systems and parameters to evaluate trauma patients in the emergency department. Most of these evaluations are to distinguish patients with worse conditions so that the care systems have a better prediction of condition for a better care-giving. The purpose of this study is to determine the relationship between axillary body temperature and mortality in patients hospitalized in the intensive care unit (ICU) with multiple traumas and with other clinical and para-clinical factors. Methods: All patients between 16 and 75 years old with multiple traumas who were admitted into Emergency Department then hospitalized in the ICU were included in our study. An axillary temperature in the first and the second day of admission, Glasgow cola scale (GCS), systolic blood pressure, Serum glucose levels, and white blood cell counts of all patients at the admission day were recorded and their relationship with mortality were analyzed by SPSS software with suitable statistical tests. Results: Axillary body temperatures in the first and second day were statistically lower in expired traumatic patients (p=0.001 and p<0,001 respectively). Patients with lower GCS had a significantly lower first-day temperature and a significantly higher mortality. (p=0.006 and p=0.006 respectively). Furthermore, the first-day axillary temperature was significantly lower in patients with a lower first-day systolic blood pressure (p=0.014). Conclusion: Our results showed that lower axillary body temperature in the first day is associated with higher mortality, lower GCS, and lower systolic blood pressure. Thus, this could be used as a predictor of mortality in evaluation of traumatic patients in emergency settings. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fever" title="fever">fever</a>, <a href="https://publications.waset.org/abstracts/search?q=trauma" title=" trauma"> trauma</a>, <a href="https://publications.waset.org/abstracts/search?q=mortality" title=" mortality"> mortality</a>, <a href="https://publications.waset.org/abstracts/search?q=emergency" title=" emergency"> emergency</a> </p> <a href="https://publications.waset.org/abstracts/18032/the-relationship-between-first-day-body-temperature-and-mortality-in-traumatic-patients" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/18032.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">376</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">1280</span> Levels and Trends of Under-Five Mortality in South Africa from 1998 to 2012</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=T.%20Motsima">T. Motsima</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20Zuma"> K. Zuma</a>, <a href="https://publications.waset.org/abstracts/search?q=E%20Rapoo"> E Rapoo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Childhood mortality is a key sign of the coverage of child survival interventions, social and economic progressions. Although the level of under-five mortality has been declining, it is still unacceptably high. The primary aim of this paper is to establish and analyse the levels and trends of under-five mortality for the periods 1998, 2003 and 2012 in South Africa. Methods: The data used for analysis came from the 1998 SADHS, the 2003 SADHS and the 2012 SABSSM which collected information on the survival status of children. The Kaplan-Meier estimate of the survival function method was used to determine the probabilities of failure (death) from birth up to 59 months. Results and Conclusion: The overall U5MR declined by 28.2% from 53.1 in 1998 to 38.1 in 2012. The U5MR of male children declined from 59.2 in 1998 to 46.2 in 2003 and dropped further to 41.4 in 2012. The U5MR of children of mothers aged 40 years and older increased from 64.0 in 1998 to 89.0 in 2003 and rose further to 129.9 in 2012. The U5MR of children of mothers with education level of 12 years or more increased from 32.2 in 1998 to 35.2 in 2003 and declined substantially to 17.5 in 2012. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=demographic%20and%20health%20survey" title="demographic and health survey">demographic and health survey</a>, <a href="https://publications.waset.org/abstracts/search?q=Kaplan-Meier" title=" Kaplan-Meier"> Kaplan-Meier</a>, <a href="https://publications.waset.org/abstracts/search?q=levels%20and%20trends" title=" levels and trends"> levels and trends</a>, <a href="https://publications.waset.org/abstracts/search?q=under-five%20mortality" title=" under-five mortality"> under-five mortality</a> </p> <a href="https://publications.waset.org/abstracts/120546/levels-and-trends-of-under-five-mortality-in-south-africa-from-1998-to-2012" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/120546.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">136</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=mortality&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=mortality&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=mortality&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=mortality&page=5">5</a></li> <li class="page-item"><a class="page-link" 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