Evidence map›Paper›PMID 29036170›Full record

ArticlePLoS biology2017

Quantifying the effects of temperature on mosquito and parasite traits that determine the transmission potential of human malaria.

Lillian L M Shapiro, Shelley A Whitehead, Matthew B Thomas

Abstract read
In one paragraph

Article in PLoS biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 157 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
157citing 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

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

  1. Association between temperature and malaria (1959-2019): a systematic review and meta-analysis.Archives of public health = Archives belges de sante publique · 2025
    Pooled it
  2. Pooled it
  3. A Systematic Review of the Effects of Temperature onInternational journal of environmental research and public health · 2021
    Pooled it
  4. Review
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  15. Humidity shapes the thermal niche ofbioRxiv : the preprint server for biology · 2026
    Article
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  19. Predicting environmental suitability and future spread range ofInternational journal of applied earth observation and geoinformation : ITC journal · 2026
    Article
  20. Article

97 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

3 authors.

Lillian L M ShapiroThe Pennsylvania State University Department of Entomology and Center for Infectious Disease Dynamics, University Park, Pennsylvania, United States of America.ORCID http://orcid.org/0000-0002-1255-6941
Shelley A WhiteheadThe Pennsylvania State University Department of Entomology and Center for Infectious Disease Dynamics, University Park, Pennsylvania, United States of America.
Matthew B ThomasThe Pennsylvania State University Department of Entomology and Center for Infectious Disease Dynamics, University Park, Pennsylvania, United States of America.

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
NIAID NIH HHS R01 AI110793
6 · The paper itself

Abstract

Malaria transmission is known to be strongly impacted by temperature. The current understanding of how temperature affects mosquito and parasite life history traits derives from a limited number of empirical studies. These studies, some dating back to the early part of last century, are often poorly controlled, have limited replication, explore a narrow range of temperatures, and use a mixture of parasite and mosquito species. Here, we use a single pairing of the Asian mosquito vector, An. stephensi and the human malaria parasite, P. falciparum to conduct a comprehensive evaluation of the thermal performance curves of a range of mosquito and parasite traits relevant to transmission. We show that biting rate, adult mortality rate, parasite development rate, and vector competence are temperature sensitive. Importantly, we find qualitative and quantitative differences to the assumed temperature-dependent relationships. To explore the overall implications of temperature for transmission, we first use a standard model of relative vectorial capacity. This approach suggests a temperature optimum for transmission of 29°C, with minimum and maximum temperatures of 12°C and 38°C, respectively. However, the robustness of the vectorial capacity approach is challenged by the fact that the empirical data violate several of the model's simplifying assumptions. Accordingly, we present an alternative model of relative force of infection that better captures the observed biology of the vector-parasite interaction. This model suggests a temperature optimum for transmission of 26°C, with a minimum and maximum of 17°C and 35°C, respectively. The differences between the models lead to potentially divergent predictions for the potential impacts of current and future climate change on malaria transmission. The study provides a framework for more detailed, system-specific studies that are essential to develop an improved understanding on the effects of temperature on malaria transmission.

Indexed as

TemperatureAnimalsCulicidaeFemaleHumansLife Cycle StagesMalariaModels, BiologicalParasitesTime Factors

Identifiers

PMID29036170
PMCPMC5658182

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.