Evidence map›Paper›PMID 29530073›Full record

ReviewParasites & vectors2018

Rethinking the extrinsic incubation period of malaria parasites.

Johanna R Ohm, Francesco Baldini, Priscille Barreaux, Thierry Lefevre, Penelope A Lynch, Eunho Suh, Shelley A Whitehead, Matthew B Thomas

Abstract readReview
In one paragraph

Review in Parasites & vectors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing 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

75 citing papers in PubMed.

  1. Article
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  4. Review
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  6. Article
  7. Estimating mosquito bionomics parameters with a hierarchical Bayesian model.Current research in parasitology & vector-borne diseases · 2026
    Article
  8. Article
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  10. Article
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  12. Article
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  15. Review
  16. Article
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  18. Article
  19. Climate Change and Malaria: A Call for Robust Analytics.medRxiv : the preprint server for health sciences · 2025
    Article
  20. Article

15 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

8 authors.

Johanna R OhmCenter for Infectious Disease Dynamics, Pennsylvania State University, University Park, PA, USA. jo.ohm@psu.edu.
Francesco BaldiniInstitute of Biodiversity Animal Health and Comparative Medicine, University of Glasgow, Glasgow, Scotland, UK.
Priscille BarreauxCenter for Infectious Disease Dynamics, Pennsylvania State University, University Park, PA, USA.
Thierry LefevreMIVEGEC, IRD, CNRS, University of Montpellier, Montpellier, France.
Penelope A LynchCollege of Life and Environmental Sciences, Penryn Campus, University of Exeter, Cornwall, UK.
Eunho SuhCenter for Infectious Disease Dynamics, Pennsylvania State University, University Park, PA, USA.
Shelley A WhiteheadCenter for Infectious Disease Dynamics, Pennsylvania State University, University Park, PA, USA.
Matthew B ThomasCenter for Infectious Disease Dynamics, Pennsylvania State University, University Park, PA, USA.

Funding

Influence of temperature on malaria transmission and prospective vector controlR01AI110793 · NIAID · PENNSYLVANIA STATE UNIVERSITY, THE · PI THOMAS, MATTHEW B · 2015 to 2018
$2.0M
ANR ANR grant 16-CE35-0007AXA Research Fund 14-AXA-PDOC-130Division of Environmental Biology 1518681EMBO 43-2014NIAID NIH HHS R01 AI110793NIH NIAID R01AI110793
6 · The paper itself

Abstract

The time it takes for malaria parasites to develop within a mosquito, and become transmissible, is known as the extrinsic incubation period, or EIP. EIP is a key parameter influencing transmission intensity as it combines with mosquito mortality rate and competence to determine the number of mosquitoes that ultimately become infectious. In spite of its epidemiological significance, data on EIP are scant. Current approaches to estimate EIP are largely based on temperature-dependent models developed from data collected on parasite development within a single mosquito species in the 1930s. These models assume that the only factor affecting EIP is mean environmental temperature. Here, we review evidence to suggest that in addition to mean temperature, EIP is likely influenced by genetic diversity of the vector, diversity of the parasite, and variation in a range of biotic and abiotic factors that affect mosquito condition. We further demonstrate that the classic approach of measuring EIP as the time at which mosquitoes first become infectious likely misrepresents EIP for a mosquito population. We argue for a better understanding of EIP to improve models of transmission, refine predictions of the possible impacts of climate change, and determine the potential evolutionary responses of malaria parasites to current and future mosquito control tools.

Indexed as

AnimalsAnophelesClimate ChangeEnvironmentInfectious Disease Incubation PeriodMalariaMosquito ControlMosquito VectorsPlasmodiumTemperatureTime FactorsEIPExtrinsic incubation periodMalariaMosquitoTemperature

Identifiers

PMID29530073
PMCPMC5848458

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.