ArticlePloS one2020
The geographic distribution of priority population groups for the elimination of mother-to-child transmission of HIV in South Africa.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Self-Care from Anywhere: Evaluating the usability of an AI-powered HIV toolkit among adolescent girls and young women and healthcare providers in South Africa.medRxiv : the preprint server for health sciences · 2026Article
- Managers perspectives on the implementation of the Prevention of Mother-to-Child Transmission policy in South Africa.Journal of public health in Africa · 2026Article
- Article
- Contributory factors to partial implementation of prevention of mother to child transmission policy in South Africa.BMC pregnancy and childbirth · 2025Article
- Placental neutrophil reverse trans-migration and maternal serum neutrophil extracellular trap expression in HIV infection co-morbid pre-eclampsia in women of African ancestry.Histochemistry and cell biology · 2024Article
- Black Women's Perceptions Towards Infant and Child Male Circumcision.Maternal and child health journal · 2023Article
- Hepatitis B infection status among South Africans attending public health facilities over a five-year period: 2015 to 2019.PLOS global public health · 2023Article
- Structural elements´ availability for the provision of Prevention of Mother-to-Child Transmission of HIV services among health facilities in the Volta Region of Ghana.The Pan African medical journal · 2022Article
- Article
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Abstract
backgroundWomen of reproductive age living with HIV (WRLHIV), HIV-positive pregnant women, adolescent girls and young women (AGYW) are key populations for eliminating mother-to-child of HIV (eMTCT) in South Africa. We describe the geographical distribution of WRLHIV, their pregnant counterparts and AGYW for risk-adjusted allocation of eMTCT interventions.
methodsFor the year 2018, we triangulated data from the Thembisa Model with five routine HIV-related and demographic data sources to determine the distribution of WRLHIV (15-49 years) and AGYW (15-24 years) nationally and by province. Data analysed included total population estimates, number of live-births, live-births to HIV-positive women, age-specific HIV prevalence rates, intrauterine (IU)-transmission rates and IU-case rates/100 000 live-births. IU-transmission rates and IU-case rates were calculated from de-duplicated routine HIV test-data for neonates (aged <7days). Data de-duplication was achieved by a patient-linking algorithm that uses probabilistic matching of demographics (name, surname, date of birth), supplemented by manual matching to account for spelling errors.
resultsThere were 58 million people in South Africa in 2018. Females (all ages) constituted 51% of the population. Women of reproductive age constituted 27% and AGYW constituted 8% of the total population. WRLHIV, AGYW living with HIV and HIV-positive pregnant women accounted for 7%, 0.8% and 0.4% of the total population respectively. Gauteng was the most populous province followed by KwaZulu-Natal, with Western Cape and Eastern Cape in third and fourth positions. The distribution of WRLHIV and AGYW followed a similar trend. However, Mpumalanga and Limpopo provinces had higher proportions of WRLHIV and AGYW living with HIV ahead of Western Cape. KwaZulu-Natal had the highest number of live-births to HIV-positive women. The national IU-transmission rate of <1% translated into 241 cases/100 000. While provincial IU-case rates were fairly similar at 179-325, districts IU-case rates varied, ranging from 87-415 cases/100 000 live-births.
conclusionFindings suggest that the need for eMTCT interventions is greatest in Gauteng, KwaZulu-Natal, Western Cape and Eastern Cape. Limpopo and Mpumalanga provinces may require more HIV prevention and family planning services because of high fertility rates, high number of WRLHIV and AGYW living with HIV. eMTCT will require robust viral load monitoring among WRLHIV, pregnant and breastfeeding women. The national laboratory database can provide this service near-real time.
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