Evidence map›Paper›PMID 30938286›Full record

ArticleeLife2019

Using parasite genetic and human mobility data to infer local and cross-border malaria connectivity in Southern Africa.

Sofonias Tessema, Amy Wesolowski, Anna Chen, Maxwell Murphy, Jordan Wilheim, Anna-Rosa Mupiri, Nick W Ruktanonchai, Victor A Alegana, Andrew J Tatem, Munyaradzi Tambo and 10 more

Abstract read
In one paragraph

Article in eLife, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed, 3 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.

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

85 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Global patterns of submicroscopicThe Lancet. Microbe · 2021
    Pooled it
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  8. Imported malaria predominates in near-elimination settings in Southwestern Uganda.medRxiv : the preprint server for health sciences · 2026
    Article
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  17. Mapping residual malaria transmission in Vietnam.The Lancet regional health. Western Pacific · 2025
    Article
  18. Sensitive and modular amplicon sequencing ofbioRxiv : the preprint server for biology · 2025
    Article
  19. Article
  20. Review

25 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

20 authors.

Sofonias Tessema *EPPIcenter program, Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, San Francisco, United States.ORCID 0000-0003-1057-5310
Amy Wesolowski *Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States.ORCID 0000-0001-6320-3575
Anna ChenEPPIcenter program, Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, San Francisco, United States.
Maxwell MurphyEPPIcenter program, Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, San Francisco, United States.ORCID 0000-0003-0332-4388
Jordan WilheimEPPIcenter program, Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, San Francisco, United States.
Anna-Rosa MupiriMultidisciplinary Research Center, University of Namibia, Windhoek, Namibia.
Nick W RuktanonchaiWorldPop Project, Geography and Environment, University of Southampton, Southampton, United Kingdom.
Victor A AleganaMultidisciplinary Research Center, University of Namibia, Windhoek, Namibia.
Andrew J TatemWorldPop Project, Geography and Environment, University of Southampton, Southampton, United Kingdom.
Munyaradzi TamboMultidisciplinary Research Center, University of Namibia, Windhoek, Namibia.
Bradley DidierClinton Health Access Initiative, Boston, United States.
Justin M CohenClinton Health Access Initiative, Boston, United States.
Adam BennettMalaria Elimination Initiative, Institute of Global Health Sciences, University of California, San Francisco, San Francisco, United States.
Hugh Jw SturrockMalaria Elimination Initiative, Institute of Global Health Sciences, University of California, San Francisco, San Francisco, United States.
Roland GoslingMultidisciplinary Research Center, University of Namibia, Windhoek, Namibia.
Michelle S HsiangMalaria Elimination Initiative, Institute of Global Health Sciences, University of California, San Francisco, San Francisco, United States.
David L SmithInstitute for Health Metrics and Evaluation, University of Washington, Seattle, United States.ORCID 0000-0003-4367-3849
Davis R MumbengegwiMultidisciplinary Research Center, University of Namibia, Windhoek, Namibia.
Jennifer L SmithMalaria Elimination Initiative, Institute of Global Health Sciences, University of California, San Francisco, San Francisco, United States.
Bryan GreenhouseEPPIcenter program, Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, San Francisco, United States.

Funding

Disease Emergence and Elimination: Using Mobility Data to Inform Spatial Disease DynamicsDP2LM013102 · NLM · JOHNS HOPKINS UNIVERSITY · PI WESOLOWSKI, AMY · 2018 to 2018
$2.5M
Evaluating Re-active Surveillance Strategies for Malaria Elimination in SwazilandK23AI101012 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI HSIANG, MICHELLE SANG · 2012 to 2016
$657k
NIAID NIH HHS K23 AI101012NLM NIH HHS DP2 LM013102Wellcome Trust 211208/Z/18/Z
6 · The paper itself

Abstract

Local and cross-border importation remain major challenges to malaria elimination and are difficult to measure using traditional surveillance data. To address this challenge, we systematically collected parasite genetic data and travel history from thousands of malaria cases across northeastern Namibia and estimated human mobility from mobile phone data. We observed strong fine-scale spatial structure in local parasite populations, providing positive evidence that the majority of cases were due to local transmission. This result was largely consistent with estimates from mobile phone and travel history data. However, genetic data identified more detailed and extensive evidence of parasite connectivity over hundreds of kilometers than the other data, within Namibia and across the Angolan and Zambian borders. Our results provide a framework for incorporating genetic data into malaria surveillance and provide evidence that both strengthening of local interventions and regional coordination are likely necessary to eliminate malaria in this region of Southern Africa.

Indexed as

Disease Transmission, InfectiousHuman MigrationTopography, MedicalCommunicable Diseases, ImportedEpidemiological MonitoringGenotyping TechniquesHumansMalariaMolecular EpidemiologyNamibiaPlasmodiumepidemiologygenetic epidemiologyglobal healthmalariamobilityparasite genomicsP. falciparum

Identifiers

PMID30938286
PMCPMC6478435

What OpenQuestion holds

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LicenceCC BY
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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.