Jerry John Nutor1, Precious Adade Duodu2, Pascal Agbadi3, Henry Ofori Duah4, Kelechi Elizabeth Oladimeji5, Kaboni Whitney Gondwe6. 1. Department of Family Health Care Nursing, School of Nursing, University of California, San Francisco, California, United States of America. 2. East Surrey Hospital, Redhill, England, United Kingdom. 3. Department of Nursing, Faculty of Allied Health Sciences, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana. 4. Research Department, FOCOS Orthopaedic Hospital, Accra, Ghana. 5. Department of Public Health, Faculty of Health Sciences, University of Fort Hare, Eastern Cape, South Africa. 6. College of Nursing, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, United States of America.
Abstract
INTRODUCTION: The burden of HIV infection in southern Africa is a public health concern with an increasing number of new infections. This study sought to investigate the predictors of HIV prevalence in Mozambique through a complex samples logistic regression and spatial mapping approach using nationally representative data. METHODS: We conducted a secondary data analysis using the 2015 Mozambique Demographic and Health Survey and AIDS Indicator Survey. The analysis performed in four stages while incorporating population survey sampling weights did the following: i) created a complex sample plan file in SPSS, ii) performed the weighted estimate of HIV prevalence, iii) performed complex sample chi-square test of independence, and then iv) performed complex sample logistic regression modeling. RESULTS: Out of 11,270 participants, 1,469 (13.0%) tested positive for HIV. The prevalence of HIV infection was higher in females (15.1%) than males (10.2%). We found that urban dwellers were more likely to be HIV-positive compared to rural dwellers (AOR: 1.70; CI: 1.27, 2.27). We observed provincial variations in HIV prevalence, with Maputo Cidade (17.4%), Maputo Provincia (22.6%), Gaza (25.2%) recording higher prevalence above the national estimate. Other independent predictors of HIV infection in Mozambique included age, education level, marital status, total lifetime sexual partners, and having had an STI in the last 12 months. CONCLUSIONS: The study revealed associations between high-risk sexual behavior and HIV infection. Results from our spatial mapping approach can help health policy makers to better allocate resources for cost-effective HIV/AIDS interventions. Pre-Exposure Prophylaxis (PrEP) campaigns among high-risk groups should be pursued to lower the reservoir of HIV among high-risk groups.
INTRODUCTION: The burden of HIV infection in southern Africa is a public health concern with an increasing number of new infections. This study sought to investigate the predictors of HIV prevalence in Mozambique through a complex samples logistic regression and spatial mapping approach using nationally representative data. METHODS: We conducted a secondary data analysis using the 2015 Mozambique Demographic and Health Survey and AIDS Indicator Survey. The analysis performed in four stages while incorporating population survey sampling weights did the following: i) created a complex sample plan file in SPSS, ii) performed the weighted estimate of HIV prevalence, iii) performed complex sample chi-square test of independence, and then iv) performed complex sample logistic regression modeling. RESULTS: Out of 11,270 participants, 1,469 (13.0%) tested positive for HIV. The prevalence of HIV infection was higher in females (15.1%) than males (10.2%). We found that urban dwellers were more likely to be HIV-positive compared to rural dwellers (AOR: 1.70; CI: 1.27, 2.27). We observed provincial variations in HIV prevalence, with Maputo Cidade (17.4%), Maputo Provincia (22.6%), Gaza (25.2%) recording higher prevalence above the national estimate. Other independent predictors of HIV infection in Mozambique included age, education level, marital status, total lifetime sexual partners, and having had an STI in the last 12 months. CONCLUSIONS: The study revealed associations between high-risk sexual behavior and HIV infection. Results from our spatial mapping approach can help health policy makers to better allocate resources for cost-effective HIV/AIDS interventions. Pre-Exposure Prophylaxis (PrEP) campaigns among high-risk groups should be pursued to lower the reservoir of HIV among high-risk groups.
Authors: Jerry John Nutor; Henry Ofori Duah; Pascal Agbadi; Precious Adade Duodu; Kaboni W Gondwe Journal: BMC Public Health Date: 2020-07-25 Impact factor: 3.295
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
Authors: Jerry John Nutor; Henry Ofori Duah; Precious Adade Duodu; Pascal Agbadi; Robert Kaba Alhassan; Ernest Darkwah Journal: BMJ Open Date: 2021-07-09 Impact factor: 2.692
Authors: Pascal Agbadi; Jerry John Nutor; Ernest Darkwah; Henry Ofori Duah; Precious Adade Duodu; Robert Kaba Alhassan; Kimberly Baltzell Journal: Int J Environ Res Public Health Date: 2020-08-05 Impact factor: 3.390