Evidence map›Paper›PMID 31064369›Full record

ReviewMalaria journal2019

Use cases for genetic epidemiology in malaria elimination.

Ronit Dalmat, Brienna Naughton, Tao Sheng Kwan-Gett, Jennifer Slyker, Erin M Stuckey

Open access · goldAbstract readReview
In one paragraph

Review in Malaria journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 1 pooled it
12.7field-weighted citation impact, top 1% 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

55 citing papers in PubMed, 1 synthesis or guideline pooled it, 101 citations in OpenAlex.

  1. Pooled it
  2. Toward an Open Analysis Ecosystem for Plasmodium Genomic Epidemiology.The American journal of tropical medicine and hygiene · 2026
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  11. Sensitive and modular amplicon sequencing ofbioRxiv : the preprint server for biology · 2025
    Article
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  15. Population genetics ofFrontiers in genetics · 2025
    Article
  16. Review
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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 at 2 institutions in 1 country.

Ronit DalmatDepartment of Epidemiology, University of Washington, Seattle, WA, USA.
Brienna NaughtonDepartment of Global Health, University of Washington, Seattle, WA, USA.
Tao Sheng Kwan-GettDepartment of Health Services, University of Washington, Seattle, WA, USA.
Jennifer SlykerDepartment of Epidemiology, University of Washington, Seattle, WA, USA.
Erin M StuckeyBill and Melinda Gates Foundation, Seattle, WA, USA. erin.stuckey@gatesfoundation.org.ORCID http://orcid.org/0000-0002-8047-9212
University of Washington · USGates Foundation · US

Funding

Bill and Melinda Gates Foundation OPP1155935
6 · The paper itself

Abstract

backgroundWhile traditional epidemiological approaches have supported significant reductions in malaria incidence across many countries, higher resolution information about local and regional malaria epidemiology will be needed to efficiently target interventions for elimination. The application of genetic epidemiological methods for the analysis of parasite genetics has, thus far, primarily been confined to research settings. To illustrate how these technical methods can be used to advance programmatic and operational needs of National Malaria Control Programmes (NMCPs), and accelerate global progress to eradication, this manuscript presents seven use cases for which genetic epidemiology approaches to parasite genetic data are informative to the decision-making of NMCPs.

methodsThe use cases were developed through a highly iterative process that included an extensive review of the literature and global guidance documents, including the 2017 World Health Organization's Framework for Malaria Elimination, and collection of stakeholder input. Semi-structured interviews were conducted with programmatic and technical experts about the needs and opportunities for genetic epidemiology methods in malaria elimination.

resultsSeven use cases were developed: Detect resistance, Assess drug resistance gene flow, Assess transmission intensity, Identify foci, Determine connectivity of parasite populations, Identify imported cases, and Characterize local transmission chains. The method currently used to provide the information sought, population unit for implementation, the pre-conditions for using these approaches, and post-conditions intended as a product of the use case were identified for each use case. DISCUSSION: This framework of use cases will prioritize research and development of genetic epidemiology methods that best achieve the goals of NMCPs, and ultimately, inform the establishment of normative policy guidance for their uses. With significant engagement of stakeholders from malaria endemic countries and collaboration with local programme experts to ensure strategic implementation, genetic epidemiological approaches have tremendous potential to accelerate global malaria elimination efforts.

Indexed as

Disease EradicationDNA, ProtozoanDrug ResistanceGene FlowHumansIncidenceMalariaMolecular EpidemiologyPlasmodiumWorld Health OrganizationDNA, ProtozoanDrug resistanceEradicationGene flowGenetic epidemiologyMalariaNMCPPolicy developmentSurveillanceTransmissionUse case

Identifiers

PMID31064369
PMCPMC6503548
OpenAlexW2947648660

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.