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Mapping HIV Prevalence in Sub-Saharan Africa  

Having more localized data on infection rates within countries could help health authorities better target treatment 

Lab technician putting blood sample on a slide for HIV testing, Johannesburg, Gauteng Province, South Africa.

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HIV/AIDS is a primary cause of death in sub-Saharan Africa. It is no longer always a death sentence, thanks to lifelong antiretroviral therapy, but getting treatment to patients is a challenge. Now researchers have conducted one of the most geographically specific analyses to date of HIV prevalence in 47 sub-Saharan countries. The study could help authorities better target treatment and prevention efforts.

“We hope that it will be useful to people on the ground who are in one particular area and add to what they already know about their community,” says lead author Laura Dwyer-Lindgren, an assistant professor of health metrics sciences at the University of Washington. “We also hope it will be useful more centrally, at the country level, for figuring out places where the number of people in need is not matched by the resources.”

Dwyer-Lindgren and her colleagues created a database of HIV prevalence based on population surveys and data gathered from clinics where women are seeking prenatal care. They used these data to estimate the proportion of people (aged 15 to 49) with HIV from 2000 to 2017 in five- by five-kilometer geographical grids (maps), as well as the number of people living with the virus.


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Source: “Mapping HIV Prevalence in Sub-Saharan Africa between 2000 and 2017,” by Laura Dwyer-Lindgren et al., in Nature, Vol 570; 2019

HIV prevalence varied widely from region to region—for example, from 15 percent in Botswana's Ghanzi district to 28 percent in its North-East district in 2017. Prevalence also decreased in some areas, such as Mozambique's Manica district, and increased in others, including its Guijá district.

Having this level of statistical granularity is useful for directing treatment and prevention. “It's a really neat study in that it has synthesized the data over the years that we've been trying to grapple with,” says Ayesha Kharsany, a senior scientist at the Center for the AIDS Program of Research in South Africa (CAPRISA), who was not involved in the new work. “We've been very successful making sure that people go on to treatment,” she says, but “we need to make sure that treatment is scaled up” and targeted to areas that need it most.

The ability to map at this level is “very exciting,” adds Sten Vermund, dean of the Yale School of Public Health, also not involved in the new work. He thinks the World Health Organization and the Joint United Nations Program on HIV/AIDS (UNAIDS) should adopt such methodology for their own reports.

Increases in prevalence are not necessarily evidence of new HIV cases; people with the virus may simply be living longer or moving to different areas. But, Dwyer-Lindgren says, “it's also apparent that many people are not receiving treatment.” Getting better estimates of new cases is an important next step, she adds: “There's a lot of work still to be done.”

Tanya Lewis was formerly senior desk editor for health and medicine at Scientific American. She wrote and edited stories for the website and print magazine on topics ranging from COVID to organ transplants. She also appeared on Scientific American’s podcast Science Quickly and wrote Scientific American’s weekly Health & Medicine newsletter. She held a number of positions over her nearly 10 years at Scientific American, including health editor, assistant news editor and associate editor at Scientific American Mind. Previously, she has written for outlets that include Insider, Wired, Science News and others. She has a degree in biomedical engineering from Brown University and one in science communication from the University of California, Santa Cruz. Follow her on Bluesky @tanyalewis.bsky.social

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Scientific American Magazine Vol 321 Issue 3This article was published with the title “Mapping HIV” in Scientific American Magazine Vol. 321 No. 3 (), p. 18
doi:10.1038/scientificamerican0919-18b

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