Author

Mathilde Mercat

Centre National de la Recherche ScientifiqueORCID 0000-0003-3642-1432Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Ecology· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Research Focus:ecology & biodiversity· 1 Research Focus:host-pathogen & immune response· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Colombine BartholoméeiD· 2 shared Émilie BouhsiraiD· 2 shared Florence FournetiD· 2 shared Nicolas MoirouxiD· 2 shared Adolfo Ibáñez‐JusticiaiD· 1 shared Annika M. van Roon· 1 shared Anthony J. CorneliD· 1 shared Aurélien MadouasseiD· 1 shared

Activity by Year

2022-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersEcology

Colombine BartholoméeORCID

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3 papers

Recent·Most cited

EcologyPeer Community JournalPeer-reviewedNov 6, 2025

Green cities and the risk for vector-borne disease transmission for humans and animals: a scoping review

Mathilde Mercat, Colombine Bartholomée, Florence Fournet…·Frédéric Simard

This review examines how urban green infrastructures affect vector-borne disease risks for humans and animals, finding mixed impacts depending on vector type and environmental context.

9 citationstop 2%

statistical modelecology & biodiversity

𝕏 PostBluesky

EcologybioRxivPreprintMar 20, 2025

Investigating the role of urban vegetation alongside other environmental variables in shaping Aedes albopictus presence and abundance in Montpellier, France

Colombine Bartholomée, Paul Taconet, Mathilde Mercat…·Nicolas Moiroux

This study examines how urban vegetation and other environmental factors influence the presence and abundance of Aedes albopictus in Montpellier, France, using a two-stage modeling approach.

4 citations

statistical modelhost-pathogen & immune response

𝕏 PostBluesky

BioinformaticsPeer Community JournalPeer-reviewedJan 7, 2022

A modelling framework for the prediction of the herd-level probability of infection from longitudinal data

Aurélien Madouasse, Mathilde Mercat, Annika M. van Roon…·Christine Fourichon

This paper presents a statistical model to predict herd-level infection probabilities from longitudinal data, applied to bovine viral diarrhoea virus control programs.

14 citations

statistical modelBayesian inference

𝕏 PostBluesky