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style="width: 100%;"><div class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by Dzifa Puplampu</h3></div><div class="js-work-strip profile--work_container" data-work-id="121985384"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/121985384/Meta_analysis_of_land_use_systems_development_in_Africa_Trajectories_implications_adaptive_capacity_and_future_dynamics"><img alt="Research paper thumbnail of Meta-analysis of land use systems development in Africa: Trajectories, implications, adaptive capacity, and future dynamics" class="work-thumbnail" src="https://attachments.academia-assets.com/116739451/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/121985384/Meta_analysis_of_land_use_systems_development_in_Africa_Trajectories_implications_adaptive_capacity_and_future_dynamics">Meta-analysis of land use systems development in Africa: Trajectories, implications, adaptive capacity, and future dynamics</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://henu.academia.edu/IsaacSarfo">Isaac Sarfo</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/DzifaPuplampu">Dzifa Puplampu</a></span></div><div class="wp-workCard_item"><span>Land Use Policy</span><span>, 2024</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In the face of a multiplicity of crises – including land cover change, climate hazards, economic ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In the face of a multiplicity of crises – including land cover change, climate hazards, economic uncertainties, social injustice, adaptation and sustainability concerns, relevant stakeholders have taken stern initiatives to avert these phenomena that continuously grow in magnitude and relevance. We investigate the driving mechanisms of land use cover change, across Africa’s sub-regions using integrated remote sensing techniques and existing literature. Modules for Land Use Change Evaluation (MOLUSCE) and ANN-CA were utilized to simulate land use scenarios (2020–2050) in Africa. Fundamental drift in land use systems was found to be driven by an array of socio-political, economic and biophysical factors. Interestingly, land use and recover change (LURC) patterns were observed in the north and west African regions. A regrowth/greening in forests (+2.67 %) and a decline in deserts/barren areas (-16.62 %), grasslands (-16.58 %) and farmlands/shrubs (-12.88 %) can be observed during the last 40 years. Conversely, massive shifts in built-up (+216.52 %) and areas covered by waterbodies (+84.44 %) can be spotted. Predicted trends for natural vegetation estimate 1.69 % and 2.92 % reduction rates annually for forests and grasslands, respectively, over the next 30 years. The piecemeal of evidence provided shows more lands will be converted into built-environment and cultivated lands. Based on these premises, we propose a ‘4R value strategy’ that unifies actions, addresses resource-related conflicts and the drivers identified, amid sustainability concerns. The study’s standpoints prompt the decisions of governments, the scientific community and interested parties to create alternative futures by tackling prevailing trends which aggravate environmental degradation and poverty.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0ec17ab0d5ef6caad9153bfba2178ac9" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":116739451,"asset_id":121985384,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/116739451/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="121985384"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="121985384"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 121985384; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="112224465"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/112224465/Shoreline_Change_Analysis_of_the_Eastern_Coast_of_Ghana_between_1991_and_2020"><img alt="Research paper thumbnail of Shoreline Change Analysis of the Eastern Coast of Ghana between 1991 and 2020" class="work-thumbnail" src="https://attachments.academia-assets.com/109520074/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/112224465/Shoreline_Change_Analysis_of_the_Eastern_Coast_of_Ghana_between_1991_and_2020">Shoreline Change Analysis of the Eastern Coast of Ghana between 1991 and 2020</a></div><div class="wp-workCard_item"><span>Journal of Environmental Geography</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The Eastern Coastline of Ghana is facing intense natural and anthropogenic disturbances, which po...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The Eastern Coastline of Ghana is facing intense natural and anthropogenic disturbances, which pose a serious threat to the coastal community, ecosystem, and livelihoods. This study assessed the shoreline changes occurring along the Eastern Coast of Ghana stretching 149 km from Laloi Lagoon West of Prampram to Aflao, Ghana. The study utilizes satellite images from Landsat 4TM, Landsat 7 ETM+, and Landsat 8 OLI taken between 1991 and 2020. Data pre-processing techniques using ENVI 5.3 included calibration, layer stacking, mosaicking, and supervised classification. Post-classification shorelines were extracted using ArcGIS 10.7, and the DSAS tool was used to determine the rate of change over the 29-year period. The results showed that the coastline experienced an average erosion rate of 9 m/y and a maximum rate of 24 m/y, however, the accretion rate (3 m/y) was much lower, reflecting general coastline retreat. Thus, some 25 coastal communities are highly exposed to shoreline erosion. ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a18d17218a374b8e9f4f0003c5924a04" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":109520074,"asset_id":112224465,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/109520074/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="112224465"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="112224465"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 112224465; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=112224465]").text(description); $(".js-view-count[data-work-id=112224465]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 112224465; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='112224465']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "a18d17218a374b8e9f4f0003c5924a04" } } $('.js-work-strip[data-work-id=112224465]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":112224465,"title":"Shoreline Change Analysis of the Eastern Coast of Ghana between 1991 and 2020","internal_url":"https://www.academia.edu/112224465/Shoreline_Change_Analysis_of_the_Eastern_Coast_of_Ghana_between_1991_and_2020","owner_id":105181466,"coauthors_can_edit":true,"owner":{"id":105181466,"first_name":"Dzifa","middle_initials":null,"last_name":"Puplampu","page_name":"DzifaPuplampu","domain_name":"independent","created_at":"2019-03-15T19:39:25.792-07:00","display_name":"Dzifa Puplampu","url":"https://independent.academia.edu/DzifaPuplampu"},"attachments":[{"id":109520074,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/109520074/thumbnails/1.jpg","file_name":"Puplampu_et_al_2023_final.pdf_filename_UTF-8Puplampu_et_al_2023_final.pdf","download_url":"https://www.academia.edu/attachments/109520074/download_file","bulk_download_file_name":"Shoreline_Change_Analysis_of_the_Eastern.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/109520074/Puplampu_et_al_2023_final.pdf_filename_UTF-8Puplampu_et_al_2023_final-libre.pdf?1703457621=\u0026response-content-disposition=attachment%3B+filename%3DShoreline_Change_Analysis_of_the_Eastern.pdf\u0026Expires=1740602856\u0026Signature=GQ0S66uov2Qsx~8G4Oxe4g~x~t7viUj3CdT9pEwj9jFKv7oPzB76gXGrDkEM9IFKyfLG0l1oTLOphRfjK9kCusZDrBnjb~VwJB14BEopl2-NfoVtQ5quKnQ1RNYLB9p9HqgtRNFhMGA-WzCa~-s7mVNmG8BJjlPOx5Qs983tWy~maXsQe-xr3oBgy8l52xoJ0EVySbMypOkGEonIi1jJ9vpne93VCw9GHiM6FxTzi8bVeb-F8VRYyiKZYw2C8WVMSjYKsyX6JI9~YhEJumEbjJCEcennExNeIrz4Lw-7g5j-nCSoS3fdOaCr3Tbt0nov8rQpuwTSEJwakSdB-Snydg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="65851903"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/65851903/Determinants_of_Higher_Risk_Sexual_Behavior_in_Some_Selected_African_Countries"><img alt="Research paper thumbnail of Determinants of Higher-Risk Sexual Behavior in Some Selected African Countries" class="work-thumbnail" src="https://attachments.academia-assets.com/77269583/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/65851903/Determinants_of_Higher_Risk_Sexual_Behavior_in_Some_Selected_African_Countries">Determinants of Higher-Risk Sexual Behavior in Some Selected African Countries</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/SethAfagbedzi">Seth Afagbedzi</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/DzifaPuplampu">Dzifa Puplampu</a></span></div><div class="wp-workCard_item"><span>Scientifica</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Background Although higher-risk sexual behavior (H-RSB) is a major contributor to the rapid risin...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Background Although higher-risk sexual behavior (H-RSB) is a major contributor to the rapid rising rate of new HIV infections, there exists paucity of comprehensive evidence across the sub-Saharan African region. The purpose of this study was to determine the prevalence of H-RSB and its determinants across sub-Saharan Africa to inform policy. Method Data were obtained from the Demographic and Health Survey (DHS) of ten sub-Saharan African (SSA) countries with their three most current DHS surveys from 2000 to 2016. Only participants who ever had sexual encounters in their lifetime were included in the study. Weighted adjusted Cox regression with robust variance and constant time was used to investigate disparities of H-RSB among the ten SSA countries. Relationships between sociodemographic, socioeconomic, knowledge, mass media, and H-RSB were investigated. Results The trend and prevalence of higher-risk sexual behavior show that Lesotho experienced a decreasing trend of the prevalenc...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a828fc3416d19287c4e77f68c6cf0e29" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":77269583,"asset_id":65851903,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/77269583/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="65851903"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="65851903"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 65851903; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=65851903]").text(description); $(".js-view-count[data-work-id=65851903]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 65851903; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='65851903']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "a828fc3416d19287c4e77f68c6cf0e29" } } $('.js-work-strip[data-work-id=65851903]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":65851903,"title":"Determinants of Higher-Risk Sexual Behavior in Some Selected African Countries","internal_url":"https://www.academia.edu/65851903/Determinants_of_Higher_Risk_Sexual_Behavior_in_Some_Selected_African_Countries","owner_id":19111628,"coauthors_can_edit":true,"owner":{"id":19111628,"first_name":"Seth","middle_initials":null,"last_name":"Afagbedzi","page_name":"SethAfagbedzi","domain_name":"independent","created_at":"2014-10-16T04:26:04.701-07:00","display_name":"Seth Afagbedzi","url":"https://independent.academia.edu/SethAfagbedzi"},"attachments":[{"id":77269583,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/77269583/thumbnails/1.jpg","file_name":"8089293.pdf","download_url":"https://www.academia.edu/attachments/77269583/download_file","bulk_download_file_name":"Determinants_of_Higher_Risk_Sexual_Behav.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/77269583/8089293-libre.pdf?1640365031=\u0026response-content-disposition=attachment%3B+filename%3DDeterminants_of_Higher_Risk_Sexual_Behav.pdf\u0026Expires=1740602857\u0026Signature=A4-M~bJAng3aRgmSrcWijC7Z6EUhhAMR9DWIGCbGOXRe7GNBFhszRQ5C2E~-g-godWWA4GK8SiAjQBfbzNgSfwPc1sWCL~qGA2aFZ9Lzw44BFI5uQlvaxEEjyUM~Ybf2PhuVghIk2KkFgr5p~7X42LtnslP0czIE3durkjimMVKKRjNfatemEhxPkD~xDKkPbpNYbL3xk-gsiu7fF6JKPEdPnjhDAI5OmGEUF-e9KiylNoCfYbD6SeFsv8~PDJpg461VHcOVyJaIVpMkdNFLGvailWxXF~hYY5XGpM~j6h7taS7wamxX1FNksrBjXkKGJYWwS-AyzFdiFFm0LOzlTQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":77269584,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/77269584/thumbnails/1.jpg","file_name":"8089293.pdf","download_url":"https://www.academia.edu/attachments/77269584/download_file","bulk_download_file_name":"Determinants_of_Higher_Risk_Sexual_Behav.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/77269584/8089293-libre.pdf?1640365031=\u0026response-content-disposition=attachment%3B+filename%3DDeterminants_of_Higher_Risk_Sexual_Behav.pdf\u0026Expires=1740602857\u0026Signature=SSHaj4acrdAn5676dv9F~5cwI2nWvhSXEPs4dGVN9v~IqKB86d9Qf9rObF8R2Dhwf8lrknMvYBie67vdqHlSL32jsjoy73WKDWiqAcRU6ifUXTDEDNfAO2d0scgzwmCpE20u6KXN5tZIyIBHJFLfn8-ZN~wCLtTvU9dlqyMsTvSlY64k8qOkFlIvRiCdrmXZQNOl9p13uGLX9pRLp8dLobYQZLaRVg7HrOr~YTVJr4sA1Z7oz-zfKwDc8JOO90u~fPKiggymvmFSKlTGsHxXpfvHWZdxYioACSxfk5Ov-~oEwYU7sKgZ9oJ8tn3HQChYpdGN6B6iJwVSuzMKxoeK7Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="67198002"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/67198002/Determinants_of_Higher_Risk_Sexual_Behavior_in_Some_Selected_African_Countries"><img alt="Research paper thumbnail of Determinants of Higher-Risk Sexual Behavior in Some Selected African Countries" class="work-thumbnail" src="https://attachments.academia-assets.com/78105835/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/67198002/Determinants_of_Higher_Risk_Sexual_Behavior_in_Some_Selected_African_Countries">Determinants of Higher-Risk Sexual Behavior in Some Selected African Countries</a></div><div class="wp-workCard_item"><span>Scientifica</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Background Although higher-risk sexual behavior (H-RSB) is a major contributor to the rapid risin...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Background Although higher-risk sexual behavior (H-RSB) is a major contributor to the rapid rising rate of new HIV infections, there exists paucity of comprehensive evidence across the sub-Saharan African region. The purpose of this study was to determine the prevalence of H-RSB and its determinants across sub-Saharan Africa to inform policy. Method Data were obtained from the Demographic and Health Survey (DHS) of ten sub-Saharan African (SSA) countries with their three most current DHS surveys from 2000 to 2016. Only participants who ever had sexual encounters in their lifetime were included in the study. Weighted adjusted Cox regression with robust variance and constant time was used to investigate disparities of H-RSB among the ten SSA countries. Relationships between sociodemographic, socioeconomic, knowledge, mass media, and H-RSB were investigated. Results The trend and prevalence of higher-risk sexual behavior show that Lesotho experienced a decreasing trend of the prevalenc...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="1d2c5a043f0bcf876da191552dbac0b4" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":78105835,"asset_id":67198002,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/78105835/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="67198002"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="67198002"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 67198002; 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</script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="11936490" id="papers"><div class="js-work-strip profile--work_container" data-work-id="121985384"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/121985384/Meta_analysis_of_land_use_systems_development_in_Africa_Trajectories_implications_adaptive_capacity_and_future_dynamics"><img alt="Research paper thumbnail of Meta-analysis of land use systems development in Africa: Trajectories, implications, adaptive capacity, and future dynamics" class="work-thumbnail" src="https://attachments.academia-assets.com/116739451/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/121985384/Meta_analysis_of_land_use_systems_development_in_Africa_Trajectories_implications_adaptive_capacity_and_future_dynamics">Meta-analysis of land use systems development in Africa: Trajectories, implications, adaptive capacity, and future dynamics</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://henu.academia.edu/IsaacSarfo">Isaac Sarfo</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/DzifaPuplampu">Dzifa Puplampu</a></span></div><div class="wp-workCard_item"><span>Land Use Policy</span><span>, 2024</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In the face of a multiplicity of crises – including land cover change, climate hazards, economic ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In the face of a multiplicity of crises – including land cover change, climate hazards, economic uncertainties, social injustice, adaptation and sustainability concerns, relevant stakeholders have taken stern initiatives to avert these phenomena that continuously grow in magnitude and relevance. We investigate the driving mechanisms of land use cover change, across Africa’s sub-regions using integrated remote sensing techniques and existing literature. Modules for Land Use Change Evaluation (MOLUSCE) and ANN-CA were utilized to simulate land use scenarios (2020–2050) in Africa. Fundamental drift in land use systems was found to be driven by an array of socio-political, economic and biophysical factors. Interestingly, land use and recover change (LURC) patterns were observed in the north and west African regions. A regrowth/greening in forests (+2.67 %) and a decline in deserts/barren areas (-16.62 %), grasslands (-16.58 %) and farmlands/shrubs (-12.88 %) can be observed during the last 40 years. Conversely, massive shifts in built-up (+216.52 %) and areas covered by waterbodies (+84.44 %) can be spotted. Predicted trends for natural vegetation estimate 1.69 % and 2.92 % reduction rates annually for forests and grasslands, respectively, over the next 30 years. The piecemeal of evidence provided shows more lands will be converted into built-environment and cultivated lands. Based on these premises, we propose a ‘4R value strategy’ that unifies actions, addresses resource-related conflicts and the drivers identified, amid sustainability concerns. The study’s standpoints prompt the decisions of governments, the scientific community and interested parties to create alternative futures by tackling prevailing trends which aggravate environmental degradation and poverty.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0ec17ab0d5ef6caad9153bfba2178ac9" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":116739451,"asset_id":121985384,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/116739451/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="121985384"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="121985384"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 121985384; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="112224465"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/112224465/Shoreline_Change_Analysis_of_the_Eastern_Coast_of_Ghana_between_1991_and_2020"><img alt="Research paper thumbnail of Shoreline Change Analysis of the Eastern Coast of Ghana between 1991 and 2020" class="work-thumbnail" src="https://attachments.academia-assets.com/109520074/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/112224465/Shoreline_Change_Analysis_of_the_Eastern_Coast_of_Ghana_between_1991_and_2020">Shoreline Change Analysis of the Eastern Coast of Ghana between 1991 and 2020</a></div><div class="wp-workCard_item"><span>Journal of Environmental Geography</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The Eastern Coastline of Ghana is facing intense natural and anthropogenic disturbances, which po...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The Eastern Coastline of Ghana is facing intense natural and anthropogenic disturbances, which pose a serious threat to the coastal community, ecosystem, and livelihoods. This study assessed the shoreline changes occurring along the Eastern Coast of Ghana stretching 149 km from Laloi Lagoon West of Prampram to Aflao, Ghana. The study utilizes satellite images from Landsat 4TM, Landsat 7 ETM+, and Landsat 8 OLI taken between 1991 and 2020. Data pre-processing techniques using ENVI 5.3 included calibration, layer stacking, mosaicking, and supervised classification. Post-classification shorelines were extracted using ArcGIS 10.7, and the DSAS tool was used to determine the rate of change over the 29-year period. The results showed that the coastline experienced an average erosion rate of 9 m/y and a maximum rate of 24 m/y, however, the accretion rate (3 m/y) was much lower, reflecting general coastline retreat. Thus, some 25 coastal communities are highly exposed to shoreline erosion. ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a18d17218a374b8e9f4f0003c5924a04" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":109520074,"asset_id":112224465,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/109520074/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="112224465"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="112224465"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 112224465; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="65851903"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/65851903/Determinants_of_Higher_Risk_Sexual_Behavior_in_Some_Selected_African_Countries"><img alt="Research paper thumbnail of Determinants of Higher-Risk Sexual Behavior in Some Selected African Countries" class="work-thumbnail" src="https://attachments.academia-assets.com/77269583/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/65851903/Determinants_of_Higher_Risk_Sexual_Behavior_in_Some_Selected_African_Countries">Determinants of Higher-Risk Sexual Behavior in Some Selected African Countries</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/SethAfagbedzi">Seth Afagbedzi</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/DzifaPuplampu">Dzifa Puplampu</a></span></div><div class="wp-workCard_item"><span>Scientifica</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Background Although higher-risk sexual behavior (H-RSB) is a major contributor to the rapid risin...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Background Although higher-risk sexual behavior (H-RSB) is a major contributor to the rapid rising rate of new HIV infections, there exists paucity of comprehensive evidence across the sub-Saharan African region. The purpose of this study was to determine the prevalence of H-RSB and its determinants across sub-Saharan Africa to inform policy. Method Data were obtained from the Demographic and Health Survey (DHS) of ten sub-Saharan African (SSA) countries with their three most current DHS surveys from 2000 to 2016. Only participants who ever had sexual encounters in their lifetime were included in the study. Weighted adjusted Cox regression with robust variance and constant time was used to investigate disparities of H-RSB among the ten SSA countries. Relationships between sociodemographic, socioeconomic, knowledge, mass media, and H-RSB were investigated. Results The trend and prevalence of higher-risk sexual behavior show that Lesotho experienced a decreasing trend of the prevalenc...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a828fc3416d19287c4e77f68c6cf0e29" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":77269583,"asset_id":65851903,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/77269583/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="65851903"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="65851903"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 65851903; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="67198002"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/67198002/Determinants_of_Higher_Risk_Sexual_Behavior_in_Some_Selected_African_Countries"><img alt="Research paper thumbnail of Determinants of Higher-Risk Sexual Behavior in Some Selected African Countries" class="work-thumbnail" src="https://attachments.academia-assets.com/78105835/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/67198002/Determinants_of_Higher_Risk_Sexual_Behavior_in_Some_Selected_African_Countries">Determinants of Higher-Risk Sexual Behavior in Some Selected African Countries</a></div><div class="wp-workCard_item"><span>Scientifica</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Background Although higher-risk sexual behavior (H-RSB) is a major contributor to the rapid risin...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Background Although higher-risk sexual behavior (H-RSB) is a major contributor to the rapid rising rate of new HIV infections, there exists paucity of comprehensive evidence across the sub-Saharan African region. The purpose of this study was to determine the prevalence of H-RSB and its determinants across sub-Saharan Africa to inform policy. Method Data were obtained from the Demographic and Health Survey (DHS) of ten sub-Saharan African (SSA) countries with their three most current DHS surveys from 2000 to 2016. Only participants who ever had sexual encounters in their lifetime were included in the study. Weighted adjusted Cox regression with robust variance and constant time was used to investigate disparities of H-RSB among the ten SSA countries. Relationships between sociodemographic, socioeconomic, knowledge, mass media, and H-RSB were investigated. Results The trend and prevalence of higher-risk sexual behavior show that Lesotho experienced a decreasing trend of the prevalenc...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="1d2c5a043f0bcf876da191552dbac0b4" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":78105835,"asset_id":67198002,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/78105835/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="67198002"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="67198002"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 67198002; 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