Evidence map›Paper›PMID 39242617›Full record

ArticleNature communications2024

Role of vector phenotypic plasticity in disease transmission as illustrated by the spread of dengue virus by Aedes albopictus.

Dominic P Brass, Christina A Cobbold, Bethan V Purse, David A Ewing, Amanda Callaghan, Steven M White

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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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

6 authors.

Dominic P BrassUK Centre for Ecology & Hydrology, Benson Lane, Wallingford, Oxfordshire, UK. dombra@ceh.ac.uk.ORCID 0000-0002-4900-9124
Christina A CobboldSchool of Mathematics and Statistics, College of Science and Engineering, University of Glasgow, Glasgow, UK.
Bethan V PurseUK Centre for Ecology & Hydrology, Benson Lane, Wallingford, Oxfordshire, UK.ORCID 0000-0001-5140-2710
David A EwingBiomathematics and Statistics Scotland, Edinburgh, UK.ORCID 0000-0002-9974-8179
Amanda CallaghanEcology and Evolutionary Biology, School of Biological Sciences, University of Reading, Reading, UK.
Steven M WhiteUK Centre for Ecology & Hydrology, Benson Lane, Wallingford, Oxfordshire, UK.ORCID 0000-0002-3192-9969

Funding

RCUK | Natural Environment Research Council (NERC) NE/P012345/1
6 · The paper itself

Abstract

The incidence of vector-borne disease is on the rise globally, with burdens increasing in endemic countries and outbreaks occurring in new locations. Effective mitigation and intervention strategies require models that accurately predict both spatial and temporal changes in disease dynamics, but this remains challenging due to the complex and interactive relationships between environmental variation and the vector traits that govern the transmission of vector-borne diseases. Predictions of disease risk in the literature typically assume that vector traits vary instantaneously and independently of population density, and therefore do not capture the delayed response of these same traits to past biotic and abiotic environments. We argue here that to produce accurate predictions of disease risk it is necessary to account for environmentally driven and delayed instances of phenotypic plasticity. To show this, we develop a stage and phenotypically structured model for the invasive mosquito vector, Aedes albopictus, and dengue, the second most prevalent human vector-borne disease worldwide. We find that environmental variation drives a dynamic phenotypic structure in the mosquito population, which accurately predicts global patterns of mosquito trait-abundance dynamics. In turn, this interacts with disease transmission to capture historic dengue outbreaks. By comparing the model to a suite of simpler models, we reveal that it is the delayed phenotypic structure that is critical for accurate prediction. Consequently, the incorporation of vector trait relationships into transmission models is critical to improvement of early warning systems that inform mitigation and control strategies.

Indexed as

AedesDengueDengue VirusMosquito VectorsPhenotypeAnimalsDisease OutbreaksHumans

Identifiers

PMID39242617
PMCPMC11379831

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.