International Journal of Scientific Research and Engineering Development

Vector-borne diseases continue to pose a major public health concern in tropical regions, where environmental factors play a crucial role in shaping transmission patterns. This study examines the spatial relationship between seasonal vegetation dynamics and the intensity of mosquito-borne diseases in Madurai District, Tamil Nadu, using geospatial approaches. Block-level morbidity data for the period 2023–24 were standardized using Z-score normalization for malaria, dengue, and chikungunya, and combined to create a composite Mosquito Burden Index. Pre-monsoon and monsoon Normalized Difference Vegetation Index (NDVI) values were obtained from satellite imagery and analyzed through zonal statistical techniques. The results indicate a moderate and statistically significant positive correlation between monsoon NDVI and the mosquito burden index, accounting for spatial variability across administrative blocks. The findings highlight the importance of spatial data analytics in enhancing public health planning and targeted vector control interventions.

C. Vinothini, Bhavya Ponnukalai, R.S.Suja Rose, V. Saravanabavan,"Geoinformatics-Based Analysis of Seasonal Vegetation Dynamics and Mosquito-Borne Disease Patterns in Madurai District" International Journal of Scientific Research and Engineering Development, V9(2): Page(1429-1437) Mar-Apr 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.