Evidence map›Paper›PMID 40307911›Full record

ArticleParasites & vectors2025

Spatial inference of Culex pipiens abundance and biting activity distribution in the Netherlands using citizen science.

Ayat Abourashed, Catuxa Cerecedo-Iglesias, Martha Dellar, John R B Palmer, Frederic Bartumeus

Abstract read
In one paragraph

Article in Parasites & vectors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Ayat AbourashedViroscience, Erasmus University Medical Center, Rotterdam, Netherlands. ayatabourashed@gmail.com.
Catuxa Cerecedo-IglesiasCentre d'Estudis Avançats de Blanes (CEAB-CSIC), Blanes, Spain.
Martha DellarDeltares, Utrecht, The Netherlands.
John R B PalmerDepartment of Political and Social Sciences, Universitat Pompeu Fabra, Barcelona, Spain.
Frederic BartumeusCentre d'Estudis Avançats de Blanes (CEAB-CSIC), Blanes, Spain. fbartu@ceab.csic.es.

Funding

Nederlandse Organisatie voor Wetenschappelijk Onderzoek NWA.1160.18.210
6 · The paper itself

Abstract

backgroundThe expanding geographical spread of mosquito-borne diseases (MBDs) has intensified the need for effective mosquito surveillance. Additional surveillance, particularly of species such as Culex pipiens, is essential as this species is a key vector of West Nile and Usutu viruses. Citizen science offers an innovative approach to monitoring Cx. pipiens populations.

methodsOur study utilized data from the Mosquito Alert mobile app to model the spatial distribution and abundance of Cx. pipiens and mosquito bites during the summer of 2021 in the Netherlands. Using generalized linear mixed models, climatic and non-climatic factors were analyzed to create two distribution models of adult Cx. pipiens and mosquito bites as outcomes.

resultsPopulation density, income, and agricultural areas (P ≤ 0.007) were identified as key determinants for both models. Blackbird population density, precipitation, and the interaction between artificial surfaces and temperature were also covariates for the Culex model, whereas sand and tree coverage were determinants for the bite model. The study controlled for biases in sampling effort to ensure robust predictions, revealing higher Cx. pipiens abundance in the central eastern areas of the country and widespread mosquito biting activity across the Netherlands.

conclusionsThese findings underscore the importance of sociodemographic and environmental factors in mosquito distribution and biting dynamics, with citizen science emerging as a valuable tool for enhancing traditional surveillance. Future research integrating longer temporal datasets and human behavioral factors will further improve predictive accuracy and support more effective MBD prevention efforts.

Indexed as

Citizen ScienceCulexInsect Bites and StingsMosquito VectorsAnimal DistributionAnimalsFemaleHumansNetherlandsPopulation DensityWest Nile FeverCitizen scienceCulex pipiensHost–vector interactionMobile applicationMosquito surveillanceSpecies distribution model

Identifiers

PMID40307911
PMCPMC12042346

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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.