Literature DB >> 31808592

Spatial distribution and characteristics of HIV clusters in Ethiopia.

Roger Ying1, Lelisa Fekadu2,3, Bruce R Schackman4, Stéphane Verguet5.   

Abstract

OBJECTIVES: Ethiopia's HIV prevalence has decreased by 75% in the past 20 years with the implementation of antiretroviral therapy, but HIV transmission continues in high-risk clusters. Identifying the spatial and temporal trends, and epidemiologic correlates, of these clusters can lead to targeted interventions.
METHODS: We used biomarker and survey data from the 2005, 2011 and 2016 Ethiopia Demographic and Health Surveys (DHS). The spatial-temporal distribution of HIV was estimated using the Kulldorff spatial scan statistic, a likelihood-based method for determining clustering. Significant clusters (P < 0.05) were identified and compared based on HIV risk factors to non-cluster areas.
RESULTS: In 2005, 2011 and 2016, respectively, 219, 568 and 408 individuals tested positive for HIV. Four HIV clusters were identified, representing 17% of the total population and 43% of all HIV cases. The clusters were centred around Addis Ababa (1), Afar (2), Dire Dawa (3) and Gambella (4). Cluster 1 had higher rates of unsafe injections (4.9% vs. 2.2%, P < 0.001) and transactional sex (6.0% vs. 1.6%, P < 0.001) than non-cluster regions, but more male circumcision (98.5% vs. 91.3%, P < 0.001). Cluster 2 had higher levels of transactional sex (4.9% vs. 1.6%, P < 0.01), but lower levels of unsafe injections (0.8% vs. 2.2%, P < 0.01). Cluster 3 had fewer individuals with> 1 sexual partner (0% vs. 1.7%, P < 0.001) and more male circumcision (100% vs. 91.3%, P < 0.001). Cluster 4 had less male circumcision (59.1% vs. 91.3%, P < 0.01).
CONCLUSIONS: In Ethiopia, geographic HIV clusters are driven by different risk factors. Decreasing the HIV burden requires targeted interventions.
© 2019 The Authors. Tropical Medicine & International Health Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  Afrique subsaharienne; Ethiopia; Ethiopie; HIV; VIH; distribution spatiale; facteurs de risque; hot spots; points chauds; risk factors; spatial distribution; sub-Saharan Africa

Year:  2020        PMID: 31808592     DOI: 10.1111/tmi.13356

Source DB:  PubMed          Journal:  Trop Med Int Health        ISSN: 1360-2276            Impact factor:   2.622


  3 in total

1.  Characterizing and mapping the spatial variability of HIV risk among adolescent girls and young women: A cross-county analysis of population-based surveys in Eswatini, Haiti, and Mozambique.

Authors:  Kristen N Brugh; Quinn Lewis; Cameron Haddad; Jon Kumaresan; Timothy Essam; Michelle S Li
Journal:  PLoS One       Date:  2021-12-17       Impact factor: 3.240

2.  Spatial codistribution of HIV, tuberculosis and malaria in Ethiopia.

Authors:  Kefyalew Addis Alene; Ahmed Elagali; Dylan D Barth; Susan F Rumisha; Punam Amratia; Daniel J Weiss; Kendalem Asmare Atalell; Andargachew Kumsa Erena; Peter W Gething; Archie C A Clements
Journal:  BMJ Glob Health       Date:  2022-02

3.  Spatial distribution and determinants of HIV prevalence among adults in urban Ethiopia: Findings from the Ethiopia Population-based HIV Impact Assessment Survey (2017-2018).

Authors:  Terefe Gelibo; Sileshi Lulseged; Frehywot Eshetu; Saro Abdella; Zenebe Melaku; Solape Ajiboye; Minilik Demissie; Chelsea Solmo; Jelaludin Ahmed; Yimam Getaneh; Susan C Kaydos-Daniels; Ebba Abate
Journal:  PLoS One       Date:  2022-07-12       Impact factor: 3.752

  3 in total

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