Abstract
Mosquito-borne diseases such as dengue and malaria are sensitive to climatic changes. Coastal areas of Bangladesh, particularly Khulna and Barisal, are increasingly vulnerable due to rising temperatures, erratic rainfall, and humidity fluctuations. This study utilizes spatial epidemiological methods and remote sensing data to model the relationship between climatic variables and disease incidence. By integrating climate projections with historical disease data, the project aims to identify high-risk zones and forecast future outbreaks. The findings will support the development of early warning systems and targeted vector control strategies tailored to local environmental conditions.

Keywords
Climate change, mosquito-borne diseases, geospatial analysis, dengue, malaria, coastal Bangladesh, disease forecasting, environmental health
 
Public Health Relevance
Understanding how climate change affects vector-borne disease dynamics is vital for proactive health planning. The research aids in predicting and mitigating future outbreaks, ensuring timely interventions and resource allocation in climate-vulnerable communities.