Weather Patterns as Predictors of West Nile Virus Infection Risk in Greece

West Nile Virus (WNV) poses a recurring public health threat in Greece, with outbreaks influenced by meteorological conditions. This study examines associations between key weather variables (e.g., temperature and total precipitation) and WNV incidence from 2010 to 2024 using ERA5 environmental data and available epidemiological data. Distributed lag nonlinear models were applied to identify time-lagged impacts of climate on WNV transmission. The results aim to reveal critical meteorological thresholds that could improve early warning systems and vector control. Understanding these climate–infection links can support predictive modeling and enhance public health preparedness amid growing climate variability and global vector-borne disease risks.