Evidence map›Paper›PMID 37730525›Full record

ReviewTrends in parasitology2023

Sampling for malaria molecular surveillance.

Alfredo Mayor, Deus S Ishengoma, Joshua L Proctor, Robert Verity

Abstract readReview
In one paragraph

Review in Trends in parasitology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Temporal trends inmedRxiv : the preprint server for health sciences · 2026
    Article
  5. Mixed malaria infections: A critical review and Detect-Characterise-Act surveillance framework.Current research in parasitology & vector-borne diseases · 2026
    Review
  6. Article
  7. Review
  8. Article
  9. Genetic Diversity ofTropical medicine and infectious disease · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. BMJ open · 2024
    Observational
  15. Review
  16. Article
  17. 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

4 authors.

Alfredo MayorISGlobal, Hospital Clínic - Universitat de Barcelona, Barcelona, Spain; Centro de Investigação em Saúde de Manhiça (CISM), Maputo, Mozambique; Department of Physiologic Sciences, Faculty of Medicine, Universidade Eduardo Mondlane, Maputo, Mozambique. Electronic address: alfredo.mayor@isglobal.org.
Deus S IshengomaNational Institute for Medical Research (NIMR), Dar es Salaam, Tanzania; Faculty of Pharmaceutical Sciences, Monash University, Melbourne, VIC, Australia; Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.
Joshua L ProctorInstitute for Disease Modeling in Global Health, Bill and Melinda Gates Foundation, Seattle, WA, USA.
Robert VerityMRC Centre for Global Infectious Disease Analysis, Imperial College, London, UK.

Funding

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

Abstract

Strategic use of Plasmodium falciparum genetic variation has great potential to inform public health actions for malaria control and elimination. Malaria molecular surveillance (MMS) begins with a strategy to identify and collect parasite samples, guided by public-health priorities. In this review we discuss sampling design practices for MMS and point out epidemiological, biological, and statistical factors that need to be considered. We present examples for different use cases, including detecting emergence and spread of rare variants, establishing transmission sources and inferring changes in malaria transmission intensity. This review will potentially guide the collection of samples and data, serve as a starting point for further methodological innovation, and enhance utilization of MMS to support malaria elimination.

Indexed as

AntimalarialsMalariaMalaria, FalciparumDrug ResistanceHumansPlasmodium falciparumAntimalarialsantimalarial drug resistancegenomicsmalariamalaria transmissionmolecular surveillancesampling

Identifiers

PMID37730525
PMCPMC10580323

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.