Modelling the impact of climate and the environment on the spatiotemporal dynamics of Lyme borreliosis in Germany
Batista, Martín Lotto et al.
eBioMedicine, Volume 115, 105701
This study used spatiotemporal Bayesian modeling to analyze the impact of climate and environmental factors on Lyme borreliosis (LB) dynamics in Germany. The research found that precipitation, temperature, green spaces, and forest cover positively influenced LB incidence, while human population density had a negative impact. The study also identified increasing trends in LB risk, particularly in northern regions, and highlighted the role of climate in shaping LB distribution and transmission.
DOI: 10.1016/j.ebiom.2025.105701
