West Nile virus (WNV) is becoming an increasing public health concern in Europe, particularly as the climate warms. The new study published in One Health, “Evaluating the ability of a thermal biology-informed reproduction number to explain patterns of West Nile incidence in Europe,” studies a temperature-based mechanistic model and evaluates its ability to capture real-world patterns using 14 years of human WNV case data reported across Europe from 2010 to 2023.
The results were positive, showing the models effectively captured seasonal patterns and identified temperature ranges associated with the highest transmission risk, with improved predictive performance as detailed temperature data were incorporated. However, the models were less successful in explaining year-to-year variation in case numbers and the geographic differences in disease distribution. The discussions suggest that while mechanistic models are useful tools for understanding WNV risk, their accuracy could be improved by incorporating additional environmental factors and human behaviour patterns.
The study is a positive step towards the future direction of infectious diseases research, highlighting the importance of integrating laboratory data with real-world data and understanding.
Read the paper here:https://www.sciencedirect.com/science/article/pii/S2352771426001539
