Evidence map›Paper›PMID 30333020›Full record

ArticleBMC medicine2018

Mapping malaria by combining parasite genomic and epidemiologic data.

Amy Wesolowski, Aimee R Taylor, Hsiao-Han Chang, Robert Verity, Sofonias Tessema, Jeffrey A Bailey, T Alex Perkins, Daniel E Neafsey, Bryan Greenhouse, Caroline O Buckee

Erratum issuedAbstract read
In one paragraph

Article in BMC medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing 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

65 citing papers in PubMed.

  1. Trial
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  9. Sensitive and modular amplicon sequencing ofbioRxiv : the preprint server for biology · 2025
    Article
  10. Review
  11. Review
  12. Genetic diversity and haplotype structure of theFrontiers in cellular and infection microbiology · 2025
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Temporal and spatial dynamics ofbioRxiv : the preprint server for biology · 2024
    Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Amy WesolowskiDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. awesolowski@jhu.edu.ORCID 0000-0001-6320-3575
Aimee R TaylorDepartment of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA.
Hsiao-Han ChangDepartment of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA.
Robert VerityMedical Research Council Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College, London, UK.
Sofonias TessemaDepartment of Medicine, University of California - San Francisco, San Francisco, CA, USA.
Jeffrey A BaileyProgram in Bioinformatics and Integrative Biology, University of Massachusetts, Worcester, MA, USA.
T Alex PerkinsDepartment of Biological Sciences and Eck Institute for Global Health, University of Notre Dame, Notre Dame, IN, USA.
Daniel E NeafseyInfectious Disease and Microbiome Program, Broad Institute, Cambridge, MA, USA.
Bryan GreenhouseDepartment of Medicine, University of California - San Francisco, San Francisco, CA, USA.
Caroline O BuckeeDepartment of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA. cbuckee@hsph.harvard.edu.

Funding

Understanding and controlling antibiotic resistanceU54GM088558 · NIGMS · HARVARD SCHOOL OF PUBLIC HEALTH · PI LIPSITCH, MARC · 2009 to 2018
$26.4M
Disease Emergence and Elimination: Using Mobility Data to Inform Spatial Disease DynamicsDP2LM013102 · NLM · JOHNS HOPKINS UNIVERSITY · PI WESOLOWSKI, AMY · 2018 to 2018
$2.5M
New approaches to measuring and containing the spatial spread of human pathogensR35GM124715 · NIGMS · HARVARD SCHOOL OF PUBLIC HEALTH · PI BUCKEE, CAROLINE O'FLAHERTY · 2017 to 2021
$2.0M
Medical Research Council MR/N01507X/1Medical Research Council MR/R015600/1NIGMS NIH HHS R35 GM124715NIGMS NIH HHS U54 GM088558NIH HHS R35GM124715NIH HHS U54GM088558NLM NIH HHS DP2 LM013102Wellcome TrustWellcome Trust 106866/Z/15/Z
6 · The paper itself

Abstract

backgroundRecent global progress in scaling up malaria control interventions has revived the goal of complete elimination in many countries. Decreasing transmission intensity generally leads to increasingly patchy spatial patterns of malaria transmission in elimination settings, with control programs having to accurately identify remaining foci in order to efficiently target interventions.

findingsThe role of connectivity between different pockets of local transmission is of increasing importance as programs near elimination since humans are able to transfer parasites beyond the limits of mosquito dispersal, thus re-introducing parasites to previously malaria-free regions. Here, we discuss recent advances in the quantification of spatial epidemiology of malaria, particularly Plasmodium falciparum, in the context of transmission reduction interventions. Further, we highlight the challenges and promising directions for the development of integrated mapping, modeling, and genomic approaches that leverage disparate datasets to measure both connectivity and transmission.

conclusionA more comprehensive understanding of the spatial transmission of malaria can be gained using a combination of parasite genetics and epidemiological modeling and mapping. However, additional molecular and quantitative methods are necessary to answer these public health-related questions.

Indexed as

AnimalsGenomicsHumansMalariaMalaria, FalciparumParasitesMalariaParasite genomicsPlasmodium falciparumSpatial modeling

Identifiers

PMID30333020
PMCPMC6193293

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.