Application of Remote Sensing Methods in Predicting the Dynamics of Anopheles sinensis - Anhui Province, China, 2019-2023.

What is already known about this topic?: Remote sensing information provides indirect insights into infectious disease dynamics. Public health practice has significantly benefited from the increasing availability and accessibility of remote sensing data.

What is added by this report?: This study explores the relationship between meteorological and environmental factors and malaria vector abundance using remote sensing technology, establishing predictive models for Anopheles sinensis population dynamics.

What are the implications for public health practice?: Identifying reliable predictors of malaria vector abundance enables policymakers to allocate resources more efficiently to regions at high risk of malaria transmission. In areas where an abnormal increase in malaria vector populations is predicted, proactive measures can be implemented, including environmental management, enhancement of local malaria diagnostic capabilities, and strengthening of targeted public health education campaigns.