Covariates and spatial interpolation of hiv screening in mozambique: Insight from the 2015 aids indicator survey
Agbadi, Pascal, Nutor, Jerry John, Darkwah, Ernest, Duah, Henry Ofori, Duodu, Precious Adade, Alhassan, Robert Kaba, and Baltzell, Kimberly (2020) Covariates and spatial interpolation of hiv screening in mozambique: Insight from the 2015 aids indicator survey. International Journal of Environmental Research and Public Health, 17 (16). 5630.
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Abstract
We examined the factors associated with human immunodeficiency virus (HIV) screening and developed a HIV screening prevalence surface map using spatial interpolation techniques to identify the geographical areas with the highest and lowest rates of HIV screening in Mozambique. We analyzed the cross-sectional 2015 Mozambique AIDS Indicator Surveys with an analytic sample of 12,995 participants. Analyses were conducted on SPSS-21, STATA-14, and R freeware 3.5.3. We adjusted for the sample design and population weights. Results indicated that 52.5% of Mozambicans had undergone HIV screening. Mozambicans with these characteristics have a higher probability of undergoing HIV screening: females, those with a primary education or higher, urban dwellers, residents of wealthy households, having at least one lifetime sexual partner, and dwelling in these provinces—Niassa, Tete, Manica, Sofala, Inhambane, Gaza, Maputo Provincia, and Maputo Cidade. The spatial map revealed that the national and regional estimates mask sub-regional level estimates. Generally, zones with the highest HIV screening prevalence are found in southern provinces while the lowest prevalence was found in the northern provinces. The map further revealed intraregional differences in HIV screening estimates. We recommend that HIV screening be expanded, with equitable screening resource allocations that target more nuanced areas within provinces which have a low HIV screening prevalence.
Item ID: | 88970 |
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Item Type: | Article (Research - C1) |
ISSN: | 1660-4601 |
Keywords: | HIV screening, HIV/AIDS, Mozambique, Spatial interpolation, Sub-Saharan Africa |
Copyright Information: | © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
Date Deposited: | 26 Sep 2025 07:29 |
FoR Codes: | 42 HEALTH SCIENCES > 4202 Epidemiology > 420207 Major global burdens of disease @ 50% 44 HUMAN SOCIETY > 4409 Social work > 440999 Social work not elsewhere classified @ 25% 42 HEALTH SCIENCES > 4206 Public health > 420606 Social determinants of health @ 25% |
SEO Codes: | 20 HEALTH > 2004 Public health (excl. specific population health) > 200404 Disease distribution and transmission (incl. surveillance and response) @ 100% |
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