Surveillance and control efficacy of the Bergerac, France, 2025 chikungunya outbreak
PLOS Neglected Tropical Diseases·
- DOI
- 10.1371/journal.pntd.0014184
- PMID
- —
- PMCID
- —
- OpenAlex
- W4416012842
- Study type
- Mathematical modelling
- Publisher
- Public Library of Science (PLoS)
- Article type
- journal-article
- Integrity
- current
Why this research matters now
The results indicate that aligning intervention magnitude with transmission severity and sustaining continuous monitoring are essential strategies for managing emerging arboviral threats in temperate regions.
Structured evidence summary
Research question
How effectively did varying intensities and geographic scopes of vector control interventions influence the trajectory of a chikungunya outbreak in a French municipality?
Study design
The investigation utilized a climate-informed mathematical framework to simulate mosquito-borne virus transmission and compared simulated outputs against observed epidemiological records.
Population and setting
The analysis focused on a 2025 chikungunya cluster in Bergerac, France, which emerged following introductions linked to international travel from an affected overseas territory.
Main findings
Early interventions restricted in scope and intensity demonstrated minimal capacity to curb transmission during periods of rapid viral spread. Conversely, expanded operational efforts alongside heightened community vigilance corresponded with a marked decline in reported infections.
Public-health relevance
The results indicate that aligning intervention magnitude with transmission severity and sustaining continuous monitoring are essential strategies for managing emerging arboviral threats in temperate regions.
Important limitations
The available evidence is limited to this single article's bibliographic metadata, abstract, and classifier links; decision-grade interpretation still requires checking the full paper, methods detail, and author-stated limitations.
GIDS interpretation
This work contributes to the literature on computational approaches for forecasting arbovirus dynamics under changing environmental conditions. It provides methodological context for evaluating how response timing and resource allocation influence outbreak trajectories without implying current real-time monitoring status.
Related GIDS surveillance
Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.
Evidence relationships
This article has 13 auditable classifier relationships to diseases, places, topics, and study design.