Geographical Patterns of HIV Sero-Discordancy in High HIV Prevalence Countries in Sub-Saharan Africa

<p dir="ltr">Introduction: Variation in the proportion of individuals living in a stable HIV sero-discordant partnership (SDP), and the potential drivers of such variability across sub Saharan Africa (SSA), are still not well-understood. This study aimed to examine the spatial cluste...

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Main Author: Diego Cuadros (5506385) (author)
Other Authors: Laith Abu-Raddad (316350) (author)
Published: 2016
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_version_ 1864513556437794816
author Diego Cuadros (5506385)
author2 Laith Abu-Raddad (316350)
author2_role author
author_facet Diego Cuadros (5506385)
Laith Abu-Raddad (316350)
author_role author
dc.creator.none.fl_str_mv Diego Cuadros (5506385)
Laith Abu-Raddad (316350)
dc.date.none.fl_str_mv 2016-08-31T03:00:00Z
dc.identifier.none.fl_str_mv 10.3390/ijerph13090865
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/Geographical_Patterns_of_HIV_Sero-Discordancy_in_High_HIV_Prevalence_Countries_in_Sub-Saharan_Africa/27101602
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Health sciences
Epidemiology
Public health
HIV
serodiscordancy
geographical clustering
sub Saharan Africa
dc.title.none.fl_str_mv Geographical Patterns of HIV Sero-Discordancy in High HIV Prevalence Countries in Sub-Saharan Africa
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <p dir="ltr">Introduction: Variation in the proportion of individuals living in a stable HIV sero-discordant partnership (SDP), and the potential drivers of such variability across sub Saharan Africa (SSA), are still not well-understood. This study aimed to examine the spatial clustering of HIV sero-discordancy, and the impact of local variation in HIV prevalence on patterns of sero-discordancy in high HIV prevalence countries in SSA. Methods: We described the spatial patterns of sero-discordancy among stable couples by analyzing Demographic and Health Survey data from Cameroon, Kenya, Lesotho, Tanzania, Malawi, Zambia, and Zimbabwe. We identified spatial clusters of SDPs in each country through a Kulldorff spatial scan statistics analysis. After a geographical cluster was identified, epidemiologic measures of sero-discordancy were calculated and analyzed. Results: Spatial clusters with significantly high numbers of SDPs were identified and characterized in Kenya, Malawi, and Tanzania, and they largely overlapped with the clusters with high HIV prevalence. There was a positive correlation between HIV prevalence and the proportion of SDPs among all stable couples across within and outside clusters. Conversely, there was a negative, but weak and not significant, correlation between HIV prevalence and the proportion of SDPs among all stable couples with at least one HIV-infected individual in the partnership. Discussion: There does not appear to be distinct spatial patterns for HIV sero-discordancy that are independent of HIV prevalence patterns. The variation of the sero-discordancy measures with HIV prevalence across clusters and outside clusters demonstrated similar patterns to those observed at the national level. The spatial variable does not appear to be a fundamental nor independent determinant of the observed patterns of sero-discordancy in high HIV prevalence countries in SSA.</p><h2>Other Information</h2><p dir="ltr">Published in: International Journal of Environmental Research and Public Health<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/ijerph13090865" target="_blank">https://dx.doi.org/10.3390/ijerph13090865</a></p>
eu_rights_str_mv openAccess
id Manara2_a6a7c06d238d2f8e82af889eba6459c1
identifier_str_mv 10.3390/ijerph13090865
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/27101602
publishDate 2016
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spelling Geographical Patterns of HIV Sero-Discordancy in High HIV Prevalence Countries in Sub-Saharan AfricaDiego Cuadros (5506385)Laith Abu-Raddad (316350)Health sciencesEpidemiologyPublic healthHIVserodiscordancygeographical clusteringsub Saharan Africa<p dir="ltr">Introduction: Variation in the proportion of individuals living in a stable HIV sero-discordant partnership (SDP), and the potential drivers of such variability across sub Saharan Africa (SSA), are still not well-understood. This study aimed to examine the spatial clustering of HIV sero-discordancy, and the impact of local variation in HIV prevalence on patterns of sero-discordancy in high HIV prevalence countries in SSA. Methods: We described the spatial patterns of sero-discordancy among stable couples by analyzing Demographic and Health Survey data from Cameroon, Kenya, Lesotho, Tanzania, Malawi, Zambia, and Zimbabwe. We identified spatial clusters of SDPs in each country through a Kulldorff spatial scan statistics analysis. After a geographical cluster was identified, epidemiologic measures of sero-discordancy were calculated and analyzed. Results: Spatial clusters with significantly high numbers of SDPs were identified and characterized in Kenya, Malawi, and Tanzania, and they largely overlapped with the clusters with high HIV prevalence. There was a positive correlation between HIV prevalence and the proportion of SDPs among all stable couples across within and outside clusters. Conversely, there was a negative, but weak and not significant, correlation between HIV prevalence and the proportion of SDPs among all stable couples with at least one HIV-infected individual in the partnership. Discussion: There does not appear to be distinct spatial patterns for HIV sero-discordancy that are independent of HIV prevalence patterns. The variation of the sero-discordancy measures with HIV prevalence across clusters and outside clusters demonstrated similar patterns to those observed at the national level. The spatial variable does not appear to be a fundamental nor independent determinant of the observed patterns of sero-discordancy in high HIV prevalence countries in SSA.</p><h2>Other Information</h2><p dir="ltr">Published in: International Journal of Environmental Research and Public Health<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/ijerph13090865" target="_blank">https://dx.doi.org/10.3390/ijerph13090865</a></p>2016-08-31T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.3390/ijerph13090865https://figshare.com/articles/journal_contribution/Geographical_Patterns_of_HIV_Sero-Discordancy_in_High_HIV_Prevalence_Countries_in_Sub-Saharan_Africa/27101602CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/271016022016-08-31T03:00:00Z
spellingShingle Geographical Patterns of HIV Sero-Discordancy in High HIV Prevalence Countries in Sub-Saharan Africa
Diego Cuadros (5506385)
Health sciences
Epidemiology
Public health
HIV
serodiscordancy
geographical clustering
sub Saharan Africa
status_str publishedVersion
title Geographical Patterns of HIV Sero-Discordancy in High HIV Prevalence Countries in Sub-Saharan Africa
title_full Geographical Patterns of HIV Sero-Discordancy in High HIV Prevalence Countries in Sub-Saharan Africa
title_fullStr Geographical Patterns of HIV Sero-Discordancy in High HIV Prevalence Countries in Sub-Saharan Africa
title_full_unstemmed Geographical Patterns of HIV Sero-Discordancy in High HIV Prevalence Countries in Sub-Saharan Africa
title_short Geographical Patterns of HIV Sero-Discordancy in High HIV Prevalence Countries in Sub-Saharan Africa
title_sort Geographical Patterns of HIV Sero-Discordancy in High HIV Prevalence Countries in Sub-Saharan Africa
topic Health sciences
Epidemiology
Public health
HIV
serodiscordancy
geographical clustering
sub Saharan Africa