Evidence map›Paper›PMID 31400095›Full record

ReviewMicrobiology spectrum2019

Malaria Molecular Epidemiology: An Evolutionary Genetics Perspective.

Ananias A Escalante, M Andreína Pacheco

Abstract readReview
In one paragraph

Review in Microbiology spectrum, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

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

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
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  7. Article
  8. ACS infectious diseases · 2025
    Article
  9. A Rare Presentation ofCase reports in medicine · 2025
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Malaria: An Overview.Infection and drug resistance · 2023
    Review
  15. Review
  16. Review
  17. Review
  18. Article
  19. Article
  20. Review
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

2 authors.

Ananias A EscalanteDepartment of Biology/Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA 19122.
M Andreína PachecoDepartment of Biology/Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA 19122.

Funding

Sugar-feeding behavior of the malaria vector Nyssorhynchus darlingi and development of effective attractive toxic sugar baits (ATSB) to increase intervention success in PeruU19AI089681 · NIAID · YALE UNIVERSITY · PI CONN, JAN E · 2010 to 2023
$20.1M
Harnessing the Malarial Immunity Omics Landscape in Vaccinated and Unvaccinated Children for Improved Therapeutic StrategiesR01AI130473 · NIAID · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Samuel Bonuke Anyona, Douglas Jay Perkins · 2018 to 2026
$5.6M
NIAID NIH HHS R01 AI130473NIAID NIH HHS U19 AI089681
6 · The paper itself

Abstract

Malaria is a vector-borne disease that involves multiple parasite species in a variety of ecological settings. However, the parasite species causing the disease, the prevalence of subclinical infections, the emergence of drug resistance, the scale-up of interventions, and the ecological factors affecting malaria transmission, among others, are aspects that vary across areas where malaria is endemic. Such complexities have propelled the study of parasite genetic diversity patterns in the context of epidemiologic investigations. Importantly, molecular studies indicate that the time and spatial distribution of malaria cases reflect epidemiologic processes that cannot be fully understood without characterizing the evolutionary forces shaping parasite population genetic patterns. Although broad in scope, this review in the

Indexed as

Evolution, MolecularAnimalsGenome, ProtozoanHumansMalariaMolecular EpidemiologyPlasmodium

Identifiers

PMID31400095
PMCPMC6690375

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.