Evidence map›Paper›PMID 42469723›Full record

ArticleBMC public health2026

Behavioural and environmental factors associated with the risk of human tick bites in the Grippenet/Covidnet cohort in France.

Ilona Eveline Suhanda, Camille Bonnet, Jonas Durand, Julia González, Marion Debin, Raphaëlle Métras

Abstract read
In one paragraph

Article in BMC public health, 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
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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

6 authors.

Ilona Eveline SuhandaSorbonne Université, INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique, Paris, F75012, France. ilona.suhanda@iplesp.upmc.fr.ORCID https://orcid.org/0009-0003-0361-6820
Camille BonnetSorbonne Université, INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique, Paris, F75012, France.
Jonas DurandUniversity of Lorraine, INRAE, IAM, Laboratoire Tous Chercheurs, Nancy, F54000, France.
Julia GonzálezSorbonne Université, INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique, Paris, F75012, France.
Marion DebinSorbonne Université, INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique, Paris, F75012, France.
Raphaëlle MétrasSorbonne Université, INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique, Paris, F75012, France. raphaelle.metras@inserm.fr.

Funding

Agence Nationale de la Recherche ANR-15-IDEX-04-LUEAgence Nationale de la Recherche ANR-22-CE35-0003
6 · The paper itself

Abstract

backgroundTicks are one of the most important vectors of infectious disease pathogens in Europe, posing threats to human health. However, human exposure to tick bites and associated factors remains poorly documented, despite its importance to better mitigate the risk of tick-borne diseases. Current participatory datasets report information from individuals being bitten by ticks, while information on exposed but non-bitten individuals is scarce. Here, by collecting data on exposed individuals from a nationwide participatory surveillance cohort in France, we assessed the risk of self-reporting tick bites, and explored associated factors.

methodsWe conducted a longitudinal study within the Grippenet/Covidnet cohort from November 2022 to February 2025, using online surveys sent every four months, and collected data on participants' tick-bite experiences and related behaviours. We estimated the incidence of participants self-reporting at least one tick bite over a year. We then fitted a two-part Bayesian model using Integrated Nested Laplace Approximation (INLA) to look at factors associated with being bitten at least once and, among bitten participants, factors associated with an increased number of tick-bite episodes.

resultsThe reported number of tick bites showed a seasonality with peaks occurring in June 2023 and 2024. We estimated the annual incidences of participants reporting at least one tick bite at 5,615 (95% CI [4,910-6,321]) and 5,402 (95% CI [4,670-6,133]) per 100,000 inhabitants in 2023 and 2024, respectively. Our model showed that factors positively associated with reporting a tick bite included being female, living in Grand Est region, having a green outdoor area at home, with an average temperature above 7 °C and higher percentage of forest and seminatural areas near the residence, having outdoor activity in green areas more than once a week, and visiting forest or meadow. The use of prevention measures was also associated with tick-bite reporting, which might reflect greater awareness of ticks or higher outdoor exposure. Factors associated with a higher number of self-reported tick bites were getting bitten in forest, meadow, or private garden, using prevention measures, and removing at least one tick after 24 h.

conclusionWe present a nationwide and seasonal study providing baseline quantitative estimates of human behavioural and environmental factors associated with tick-bite reporting. Combined with other nationally collected data sources related to tick bites, for example providing data on tick species or at a higher resolution, this study could contribute to better inform prevention efforts.

Indexed as

Tick BitesAdolescentAdultAgedAnimalsBayes TheoremCohort StudiesFemaleFranceHumansIncidenceLongitudinal StudiesMaleMiddle AgedRisk FactorsSeasonsBayesian hierarchical modelBehaviourEnvironmental factorsOutdoor activityParticipatory surveyRisk factorsTick bitesTick-borne disease risk

Identifiers

PMID42469723
PMCPMC13656394

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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.