Evidence map›Paper›PMID 34197773›Full record

Observational studyThe lancet. HIV2021

Age patterns of HIV incidence in eastern and southern Africa: a modelling analysis of observational population-based cohort studies.

Kathryn A Risher, Anne Cori, Georges Reniers, Milly Marston, Clara Calvert, Amelia Crampin, Tawanda Dadirai, Albert Dube, Simon Gregson, Kobus Herbst and 15 more

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in The lancet. HIV, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
3.8field-weighted citation impact, top 5% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

54 citing papers in PubMed, 88 citations in OpenAlex.

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  17. Preventing HIV in women in Africa.Nature medicine · 2025
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors at 10 institutions in 7 countries.

Kathryn A RisherMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK; Department of Population Health, London School of Hygiene & Tropical Medicine, London, UK. Electronic address: krisher@ic.ac.uk.
Anne CoriMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.
Georges ReniersDepartment of Population Health, London School of Hygiene & Tropical Medicine, London, UK; Medical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Milly MarstonDepartment of Population Health, London School of Hygiene & Tropical Medicine, London, UK.
Clara CalvertDepartment of Population Health, London School of Hygiene & Tropical Medicine, London, UK.
Amelia CrampinDepartment of Population Health, London School of Hygiene & Tropical Medicine, London, UK; Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
Tawanda DadiraiThe Manicaland Centre for Public Health Research, Harare, Zimbabwe.
Albert DubeMalawi Epidemiology and Intervention Research Unit, Karonga, Malawi.
Simon GregsonMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK; Biomedical Research and Training Institute, Harare, Zimbabwe.
Kobus HerbstAfrica Health Research Institute, KwaZulu-Natal, Durban, South Africa; Department of Science and Innovation-Medical Research Council South African Population Research Infrastructure Network, Durban, South Africa.
Tom LutaloRakai Health Sciences Program, Kalisizo, Uganda.
Louisa MoorhouseMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.
Baltazar MtengaNational Institute for Medical Research, Kisesa HDSS, Mwanza, Tanzania.
Dorean NabukaluRakai Health Sciences Program, Kalisizo, Uganda.
Robert NewtonMedical Research Council/Uganda Virus Research Institute and London School of Hygiene & Tropical Medicine Uganda Research Unit, Entebbe, Uganda; Department of Health Sciences, University of York, York, UK.
Alison J PriceDepartment of Population Health, London School of Hygiene & Tropical Medicine, London, UK.
Malebogo TlhajoaneDepartment of Population Health, London School of Hygiene & Tropical Medicine, London, UK.
Jim ToddDepartment of Population Health, London School of Hygiene & Tropical Medicine, London, UK.
Keith TomlinDepartment of Population Health, London School of Hygiene & Tropical Medicine, London, UK.
Mark UrassaNational Institute for Medical Research, Kisesa HDSS, Mwanza, Tanzania.
Alain VandormaelAfrica Health Research Institute, KwaZulu-Natal, Durban, South Africa; KwaZulu-Natal Research Innovation and Sequencing Platform, UKZN, Durban, South Africa; Heidelberg Institute of Global Health, Faculty of Medicine, University of Heidelberg, Heidelberg, Germany.
Christophe FraserOxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Emma SlaymakerDepartment of Population Health, London School of Hygiene & Tropical Medicine, London, UK.
Jeffrey W EatonMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK; Department of Population Health, London School of Hygiene & Tropical Medicine, London, UK.
ALPHA Network
London School of Hygiene & Tropical Medicine · GBImperial College London · GBNational Institute for Medical Research · TZRakai Health Sciences Program · UGAfrica Health Research Institute · ZABiomedical Research and Training Institute · ZWMalawi Epidemiology and Intervention Research Unit · MWUganda Virus Research Institute · UGUniversity of KwaZulu-Natal · ZAUniversity of Oxford · GB

Funding

Medical Research Council MR/R015600/1
6 · The paper itself

Abstract

backgroundAs the HIV epidemic in sub-Saharan Africa matures, evidence about the age distribution of new HIV infections and how this distribution has changed over the epidemic is needed to guide HIV prevention. We aimed to assess trends in age-specific HIV incidence in six population-based cohort studies in eastern and southern Africa, reporting changes in mean age at infection, age distribution of new infections, and birth cohort cumulative incidence.

methodsWe used a Bayesian model to reconstruct age-specific HIV incidence from repeated observations of individuals' HIV serostatus and survival collected among population HIV cohorts in rural Malawi, South Africa, Tanzania, Uganda, and Zimbabwe, in a collaborative analysis of the ALPHA network. We modelled HIV incidence rates by age, time, and sex using smoothing splines functions. We estimated incidence trends separately by sex and study. We used estimated incidence and prevalence results for 2000-17, standardised to study population distribution, to estimate mean age at infection and proportion of new infections by age. We also estimated cumulative incidence (lifetime risk of infection) by birth cohort.

findingsAge-specific incidence declined at all ages, although the timing and pattern of decline varied by study. The mean age at infection was higher in men (cohort mean 27·8-34·6 years) than in women (24·8-29·6 years). Between 2000 and 2017, the mean age at infection per cohort increased slightly: 0·5 to 2·8 years among men and -0·2 to 2·5 years among women. Across studies, between 38% and 63% (cohort medians) of the infections in women were among those aged 15-24 years and between 30% and 63% of infections in men were in those aged 20-29 years. Lifetime risk of HIV declined for successive birth cohorts.

interpretationHIV incidence declined in all age groups and shifted slightly to older ages. Disproportionate new HIV infections occur among women aged 15-24 years and men aged 20-29 years, supporting focused prevention in these groups. However, 40-60% of infections were outside these ages, emphasising the importance of providing appropriate HIV prevention to adults of all ages.

fundingBill & Melinda Gates Foundation.

Indexed as

AdolescentAdultAfrica, SouthernAgedAge DistributionAge FactorsBayes TheoremCohort StudiesFemaleHIV InfectionsHumansIncidenceMaleMiddle AgedRural PopulationSex Factors

Identifiers

PMID34197773
PMCPMC8258368
OpenAlexW3173983975

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.