Multivariate vector autoregressive modelling of malaria with climate and vegetation factors in a remote hilly region of Northeast India.

Summary: Malaria is a dangerous disease spread by mosquitoes. These bugs need the right weather and plant life to survive and spread the sickness. In this study, scientists looked at weather and plant data from space satellites to understand how malaria spreads in a hilly area of India. They used a special math tool to look at all this information at once. This tool helped them predict future malaria outbreaks with high accuracy! By knowing when and where malaria might strike, doctors and leaders can make better plans to stop it and save lives.