Evidence map›Paper›PMID 32775339›Full record

ArticleFrontiers in ecology and evolution2020

The Role of Vector Trait Variation in Vector-Borne Disease Dynamics.

Lauren J Cator, Leah R Johnson, Erin A Mordecai, Fadoua El Moustaid, Thomas R C Smallwood, Shannon L LaDeau, Michael A Johansson, Peter J Hudson, Michael Boots, Matthew B Thomas and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in ecology and evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
10.5field-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

57 citing papers in PubMed, 130 citations in OpenAlex.

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  16. Thermal adaptation inProceedings. Biological sciences · 2025
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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

12 authors at 9 institutions in 2 countries.

Lauren J CatorDepartment of Life Sciences, Imperial College London, Ascot, United Kingdom.
Leah R JohnsonDepartment of Statistics, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States.
Erin A MordecaiDepartment of Biology, Stanford University, Stanford, CA, United States.
Fadoua El MoustaidDepartment of Biological Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States.
Thomas R C SmallwoodDepartment of Life Sciences, Imperial College London, Ascot, United Kingdom.
Shannon L LaDeauThe Cary Institute of Ecosystem Studies, Millbrook, NY, United States.
Michael A JohanssonHarvard T.H. Chan School of Public Health, Boston, MA, United States.
Peter J HudsonCenter for Infectious Disease Dynamics and Department of Biology, Pennsylvania State University, University Park, PA, United States.
Michael BootsDepartment of Integrative Biology, University of California, Berkeley, Berkeley, CA, United States.
Matthew B ThomasDepartment of Entomology, Pennsylvania State University, University Park, PA, United States.
Alison G PowerDepartment of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, United States.
Samraat PawarDepartment of Life Sciences, Imperial College London, Ascot, United Kingdom.
Imperial College London · GBVirginia Tech · USCary Institute of Ecosystem Studies · USCenter for Disease Dynamics, Economics & Policy · USCornell University · USHarvard University · USPennsylvania State University · USStanford University · USUniversity of California, Berkeley · US

Funding

Leveraging environmental drivers to predict vector-borne disease transmissionR35GM133439 · NIGMS · STANFORD UNIVERSITY · PI Erin Mordecai · 2019 to 2026
$3.2M
US-UK Collab: RCN: Vector Behavior in Transmission Ecology (VectorBiTE)R01AI122284 · NIAID · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI JOHNSON, LEAH RENEE · 2015 to 2019
$520k
NIAID NIH HHS R01 AI122284NIGMS NIH HHS R35 GM133439
6 · The paper itself

Abstract

Many important endemic and emerging diseases are transmitted by vectors that are biting arthropods. The functional traits of vectors can affect pathogen transmission rates directly and also through their effect on vector population dynamics. Increasing empirical evidence shows that vector traits vary significantly across individuals, populations, and environmental conditions, and at time scales relevant to disease transmission dynamics. Here, we review empirical evidence for variation in vector traits and how this trait variation is currently incorporated into mathematical models of vector-borne disease transmission. We argue that mechanistically incorporating trait variation into these models, by explicitly capturing its effects on vector fitness and abundance, can improve the reliability of their predictions in a changing world. We provide a conceptual framework for incorporating trait variation into vector-borne disease transmission models, and highlight key empirical and theoretical challenges. This framework provides a means to conceptualize how traits can be incorporated in vector borne disease systems, and identifies key areas in which trait variation can be explored. Determining when and to what extent it is important to incorporate trait variation into vector borne disease models remains an important, outstanding question.

Indexed as

population dynamicsreproductive numbertraitstransmissionvector-borne disease modelingvector ecology

Identifiers

PMID32775339
PMCPMC7409824
OpenAlexW3040785496

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.