| Spatial–temporal heterogeneity and determinants of HIV prevalence in the Mano River Union countries |
| Authors: |
Idrissa Laybohr Kamara, Liang Wang, Yaxin Guo, Shuting Huo, Yuanyuan Guo, Chengdong Xu, Yilan Liao, William J. Liu, Wei Ma, and George F. Gao |
| Source: |
Infectious Diseases of Poverty, Volume 1, Article 116; DOI: https://doi.org/10.1186/s40249-022-01036-1 |
| Topic(s): |
HIV/AIDS
Spatial analysis
|
| Country: |
Africa
Multiple African Countries
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| Published: |
NOV 2022 |
| Abstract: |
Background
Utilizing population-based survey data in epidemiological research with a spatial perspective can integrate valuable context into the dynamics of HIV prevalence in West Africa. However, the situation in the Mano River Union (MRU) countries is largely unknown. This research aims to perform an ecological study to determine the HIV prevalence patterns in MRU.
Methods
We analyzed Demographic and Health Survey (DHS) and AIDS Indicator Survey (AIS) data on HIV prevalence in MRU from 2005 to 2020. We examined the country-specific, regional-specific and sex-specific ratios of respondents to profile the spatial–temporal heterogeneity of HIV prevalence and determine HIV hot spots. We employed Geodetector to measure the spatial stratified heterogeneity (SSH) of HIV prevalence for adult women and men. We assessed the comprehensive correct knowledge (CCK) about HIV/AIDS and HIV testing uptake by employing the Least Absolute Shrinkage and Selection Operator (LASSO) regression to predict which combinations of CCKs can scale up the ratio of HIV testing uptake with sex-specific needs.
Results
In our analysis, we leveraged data for 158,408 respondents from 11 surveys in the MRU. From 2005–2015, Cote d'Ivoire was the hot spot for HIV prevalence with a Gi_Bin score of 3, Z-Score 8.0–10.1 and P?
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| Web: |
https://idpjournal.biomedcentral.com/articles/10.1186/s40249-022-01036-1#citeas |
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