Multivariate resilience indicators to anticipate vector-borne disease outbreaks: A West Nile virus case-study.

ABSTRACT:

Background and aim

To prevent the spread of infectious diseases, successful interventions require early detection. The timing of implementation of preventive measures is crucial, but as outbreaks are hard to anticipate, control efforts often start too late. This applies to mosquito-borne diseases, for which the multifaceted nature of transmission complicates surveillance. Resilience indicators have been studied as a generic, model-free early warning method. However, the large data requirements limit their use in practice. In the present study, we compare the performance of multivariate indicators of resilience, combining the information contained in multiple data sources, to the performance of univariate ones focusing on one single time series. Additionally, by comparing various mo

SUBMITTER: Delecroix C 

PROVIDER: S-EPMC12539738 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature