1
Return

Geospatial and multilevel analysis of lifetime HIV testing uptake among high-risk adults in Mozambique: evidence from the 2022–2023 DHS

delete2026-03-26
delete0
delete
OA
AI
T
Thomas Kidanemariam Yewodiaw *
H
Helen Lamesgin Endalew
M
Mihret Getnet
A
Amare Belete Getahun
T
Tiget Ayelgn Mengstie
E
Engidaw Fentahun Enyew
M
Mequanent Dessie Bitewa
H
Hiwot Tezera Endale
T
Tseganesh Asefa
DOI:10.1186/s12942-026-00462-wdelete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
HIV testing is a critical entry point for prevention and treatment, yet disparities in uptake persist among high-risk populations in Mozambique. This study investigates the prevalence, spatial distribution, and determinants of lifetime HIV testing among high-risk adults aged 15–49 using 2022–2023 DHS data. A cross-sectional analysis of 15,393 high-risk adults was conducted. Descriptive statistics, spatial analyses (Moran’s I, hotspot analysis, Kriging interpolation, SaTScan), and multilevel logistic regression models were applied to identify individual- and community-level factors associated with HIV testing uptake. We estimated the weighted prevalence of lifetime HIV testing uptake. Adjusted odds ratios (AORs) with 95% confidence intervals were reported to measure the association between explanatory variables and HIV testing uptake, while statistical significance was determined using p-values < 0.05. Overall, 63.7% of high-risk adults had ever tested for HIV. Testing uptake was higher among females (66%) than males (57%), and among urban (76%) versus rural residents (56%). The highest testing rate was in the 25–34 age group (78%) and lowest among adolescents 15–19 years (31%). Wealth, education, marital status, employment, media exposure, and HIV knowledge positively influenced testing. Significant regional disparities were observed, with southern provinces (Maputo City 87.7%) showing higher uptake than northern and central provinces (Zambezia 44.9%). Spatial analysis confirmed strong clustering (Moran’s I = 0.78, p < 0.001), identifying low-testing hotspots in northern and central rural areas. Multilevel modeling showed individual and community factors explained 62.9% of between-cluster variance, with females (AOR = 2.39), higher education (AOR = 6.44), marriage (AOR = 4), and urban residence (AOR = 1.58) significantly increasing odds of testing. HIV testing uptake in Mozambique remains uneven across socio-demographic and geographic groups. Targeted and equity-focused interventions are needed to expand testing among adolescents, men, rural populations, and residents of northern and central provinces. Strengthening community-based testing services, improving health education, and addressing geographic barriers will be essential for accelerating progress toward national HIV control targets
Keywords:
HIV testing uptake
High-risk adults
Mozambique
Spatial analysis
Multilevel modeling
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

International Journal of Health Geographics cover
International Journal of Health Geographics
IF:
3.2
Papers:
984
Citations:
2.8K

Organization

A
amhara region emergency operation center
Scholars:
2
Papers: 2
Citations: 0
A
Armauer Hansen Research Institute
Scholars:
187
Papers: 55
Citations: 297
C
College of Medicine and Health Sciences
Scholars:
967
Papers: 315
Citations: 1
C
College of Health Sciences
Scholars:
744
Papers: 345
Citations: 0
Cited Papers

Cited Papers

Citing Papers

Citing Papers