Evidence map›Paper›PMID 41607934›Full record

ReviewOne health (Amsterdam, Netherlands)2026

The ecology of biting: buzzing through the main ecological, environmental and biological drivers of mosquito-borne diseases.

Elisa Fesce, Josué Martínez-de la Puente, Martina Ferraguti

Abstract readReview
In one paragraph

Review in One health (Amsterdam, Netherlands), 2026. 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

3 authors.

Elisa FesceDepartment of Veterinary Medicine and Animal Sciences, Università degli Studi di Milano, 26900 Lodi, LO, Italy.
Josué Martínez-de la PuenteDepartment of Conservation Biology and Global Change, Estación Biológica de Doñana (EBD), CSIC, C/Américo Vespucio, 26, E-41092 Seville, Spain.
Martina FerragutiDepartment of Conservation Biology and Global Change, Estación Biológica de Doñana (EBD), CSIC, C/Américo Vespucio, 26, E-41092 Seville, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mosquito populations are shaped by a variety of environmental drivers, including temperature fluctuations, habitat alterations, and physicochemical factors. These drivers impact mosquito community composition, influencing the spread of vector-borne diseases. Species differ in their sensitivity to environmental changes, with some thriving in anthropogenic landscapes and others exhibit preferences for natural habitats. Abiotic factors such as temperature, water pH, salinity, and dissolved oxygen strongly affect larval survival and development, while interspecific competition among larvae shapes community structure and species abundance, impacting pathogen transmission. Mosquito feeding preferences further influence pathogen transmission by determining host selection; with opportunistic mosquito species that can act as bridge vectors between humans, domestic animals, and wildlife, facilitating the spread of zoonotic pathogens. In this respect, understanding the dynamics of zoonotic pathogens requires a One Health approach that integrates human, animal and environmental health. Mathematical models, in particular, draw on ecological, environmental and biological factors to elucidate mosquito population dynamics and disease transmission, reinforcing the importance of adopting an integrated perspective. We examine the key environmental, ecological, and biological factors shaping mosquito community composition, and highlight the role of mathematical modelling in clarifying how these factors influence mosquito-borne disease transmission. Our findings emphasize that vector surveillance and control programs should target specific vector species in relevant habitats to optimize effectiveness and reduce economic costs.

Indexed as

Feeding preference, mathematical modellingInsect vectorsMedical entomologyVector-borne diseases

Identifiers

PMID41607934
PMCPMC12834940

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.