Spatio-temporal dynamics of three diseases caused by Aedes-borne arboviruses in Mexico

Dong et al. analyse Aedes-borne diseases (ABDs) presence, local climate, and socio-demographic factors of 2,469 municipalities in Mexico, and apply machine learning to predict areas most at risk of ABDs clusters. Dengue was most prevalent, and socio-demographic and climatic factors influenced ABDs occurrence in different regions of Mexico.