Evidence map›Paper›PMID 31092927›Full record

ArticleNature2019

Mapping HIV prevalence in sub-Saharan Africa between 2000 and 2017.

Laura Dwyer-Lindgren, Michael A Cork, Amber Sligar, Krista M Steuben, Kate F Wilson, Naomi R Provost, Benjamin K Mayala, John D VanderHeide, Michael L Collison, Jason B Hall and 31 more

Registry-linked trialAbstract read
In one paragraph

Article in Nature, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04117984 (Swaziland HIV Incidence Measurement Survey), which is not on this map. Cited by 288 papers, 15 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
288citing papers in PubMed, 15 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04117984 completednot on this map

Swaziland HIV Incidence Measurement Survey (SHIMS 2, 2016): a Population-based HIV Impact Assessment (PHIA)

TypeobservationalSponsorColumbia UniversityRan2016 to 2019Enrolled15,429ConditionsHIV/AIDS
3 · Its place in the literature

Who cites it

288 citing papers in PubMed, 15 syntheses or guidelines pooled it.

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228 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

41 authors.

Laura Dwyer-LindgrenInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Michael A CorkInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Amber SligarInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Krista M SteubenInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Kate F WilsonInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Naomi R ProvostInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Benjamin K MayalaDHS program, ICF International, Rockville, MD, USA.
John D VanderHeideInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Michael L CollisonInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Jason B HallInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Molly H BiehlInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Austin CarterInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Tahvi FrankInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Dirk Douwes-SchultzInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Roy BursteinInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Daniel C CaseyInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Aniruddha DeshpandeInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Lucas EarlInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Charbel El BcheraouiInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Tamer H FaragInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Nathaniel J HenryInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Damaris KinyokiInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Laurie B MarczakInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Molly R NixonInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Aaron Osgood-ZimmermanInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
David PigottInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Robert C ReinerInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Jennifer M RossInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Lauren E SchaefferInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
David L SmithInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Nicole Davis WeaverInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Kirsten E WiensInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Jeffrey W EatonInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Jessica E JustmanICAP, Mailman School of Public Health, Columbia University, New York, NY, USA.
Alex OpioMedireal Investment Uganda, Entebbe, Uganda.
Benn SartoriusPublic Health Medicine, School of Nursing and Public Health, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa.
Frank TanserSchool of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa.
Njeri WabiriHIV/AIDS, STIs & TB Research Programme, Human Sciences Research Council, Pretoria, South Africa.
Peter PiotLondon School of Hygiene & Tropical Medicine, London, UK.
Christopher J L MurrayInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Simon I HayInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA. sihay@uw.edu.

Funding

Quantifying Spatial Representativeness and Uncertainty in Antenatal Care Sentinel Surveillance for HIV in Sub-Saharan Africa.R03AI125001 · NIAID · IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE · PI EATON, JEFFREY WILLIAM · 2017 to 2018
$105k
Medical Research Council MR/R015600/1NIAID NIH HHS R03 AI125001
6 · The paper itself

Abstract

HIV/AIDS is a leading cause of disease burden in sub-Saharan Africa. Existing evidence has demonstrated that there is substantial local variation in the prevalence of HIV; however, subnational variation has not been investigated at a high spatial resolution across the continent. Here we explore within-country variation at a 5 × 5-km resolution in sub-Saharan Africa by estimating the prevalence of HIV among adults (aged 15-49 years) and the corresponding number of people living with HIV from 2000 to 2017. Our analysis reveals substantial within-country variation in the prevalence of HIV throughout sub-Saharan Africa and local differences in both the direction and rate of change in HIV prevalence between 2000 and 2017, highlighting the degree to which important local differences are masked when examining trends at the country level. These fine-scale estimates of HIV prevalence across space and time provide an important tool for precisely targeting the interventions that are necessary to bringing HIV infections under control in sub-Saharan Africa.

Indexed as

Geographic MappingAdolescentAdultAfrica South of the SaharaFemaleHIV InfectionsHumansMaleMiddle AgedPrevalencePublic HealthYoung Adult

Identifiers

PMID31092927
PMCPMC6601349

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.