Evidence map›Paper›PMID 40338933›Full record

ArticlePLoS neglected tropical diseases2025

The potential impacts of vector host species fidelity on zoonotic arbovirus transmission.

Tijani A Sulaimon, Anthony J Wood, Michael B Bonsall, Michael Boots, Jennifer S Lord

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Tijani A SulaimonDepartment of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, United Kingdom.ORCID 0000-0002-9735-8548
Anthony J WoodThe Roslin Institute, University of Edinburgh, Easter Bush Campus, Midlothian, United Kingdom.ORCID 0000-0001-9973-8205
Michael B BonsallDepartment of Biology, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-0250-0423
Michael BootsDepartment of Integrative Biology, University of California, Berkeley, California, United States of America.ORCID 0000-0003-3763-6136
Jennifer S LordDepartment of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, United Kingdom.ORCID 0000-0001-6616-1526

Funding

MRC MR/W017059/1
6 · The paper itself

Abstract

The interaction between vector host preference and host availability on vector blood feeding behaviour has important implications for the transmission of vector-borne pathogens. However, to our knowledge, the effect of bias towards feeding on the same host species from which a first meal was taken, termed fidelity, has not been quantified. Using a mathematical model we showed that vector fidelity to the host species they take a first blood meal from leads to non-homogeneous mixing between hosts and vectors. Taking Japanese encephalitis virus (JEV) as a case study, we investigated how vector preference for amplifying vs dead-end hosts and fidelity can influence JEV transmission. We show that in regions where pigs (amplifying hosts) are scarce compared to cattle (dead-end hosts preferred by common JEV vectors), JEV could still be maintained through vector fidelity. Our findings demonstrate the importance of considering fidelity as a potential driver of transmission, particularly in scenarios such as Bangladesh and India where the composition of the host community might initially suggest that transmission is not possible.

Indexed as

Arbovirus InfectionsEncephalitis, JapaneseInsect VectorsZoonosesAnimalsBangladeshCattleEncephalitis Virus, JapaneseFeeding BehaviorHost SpecificityHumansIndiaModels, TheoreticalSwine

Identifiers

PMID40338933
PMCPMC12061148

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.