Evidence map›Paper›PMID 34774183›Full record

ReviewThe lancet. HIV2021

The potential impact of country-level migration networks on HIV epidemics in sub-Saharan Africa: the case of Botswana.

Justin T Okano, Lesego Busang, Khumo Seipone, Eugenio Valdano, Sally Blower

Abstract readReview
In one paragraph

Review 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 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–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.

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

16 citing papers in PubMed.

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  14. Mobility and HIV care engagement: a research agenda.Journal of the International AIDS Society · 2023
    Review
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  16. Article
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

5 authors.

Justin T OkanoCenter for Biomedical Modeling, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Lesego BusangThe African Comprehensive HIV/AIDS Partnerships, Gaborone, Botswana.
Khumo SeiponeThe African Comprehensive HIV/AIDS Partnerships, Gaborone, Botswana.
Eugenio ValdanoCenter for Biomedical Modeling, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Sally BlowerCenter for Biomedical Modeling, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA. Electronic address: sblower@mednet.ucla.edu.

Funding

Optimal Strategies for HIV Treatment and Prevention in Sub-Saharan AfricaR01AI116493 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BLOWER, SALLY MARGARET · 2015 to 2019
$2.7M
Helping Botswana Achieve UNAIDS Treatment Targets to End Its HIV EpidemicR56AI152759 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BLOWER, SALLY MARGARET · 2020 to 2020
$644k
NIAID NIH HHS R01 AI116493NIAID NIH HHS R56 AI152759
6 · The paper itself

Abstract

Generalised HIV epidemics in sub-Saharan Africa show substantial geographical variation in prevalence, which is considered when designing epidemic control strategies. We hypothesise that the migratory behaviour of the general population of countries in sub-Saharan Africa could have a substantial effect on HIV epidemics and challenge the elimination effort. To test this hypothesis, we used census data from 2017 to identify, construct, and visualise the migration network of the population of Botswana, which has one of the most severe HIV epidemics worldwide. We found that, over 12 months, approximately 14% of the population moved their residency from one district to another. Four types of migration occurred: urban-to-urban, rural-to-urban, urban-to-rural, and rural-to-rural. Migration is leading to a marked geographical redistribution of the population, causing high rates of population turnover in some areas, and further concentrating the population in urban areas. The migration network could potentially be having a substantial effect on the HIV epidemic of Botswana: changing the location of high-transmission areas, generating cross-country transmission corridors, creating source-sink dynamics, and undermining control strategies. Large-scale migration networks could present a considerable challenge to eliminating HIV in Botswana and in other countries in sub-Saharan Africa, and should be considered when designing epidemic control strategies.

Indexed as

EpidemicsHIV InfectionsAfrica South of the SaharaBotswanaHumansRural Population

Identifiers

PMID34774183
PMCPMC9670622

What OpenQuestion holds

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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.