Enhanced Dengue Outbreak Prediction in Tamilnadu using Meteorological and Entomological data Dr. Varalakshmi M, VIT Vellore, India, Dr. Daphne Lopez, VIT Vellore, India Sponsored by: ISRO Acknowledgement: Dr. VinothKumar S, DD/CHO, Madurai Corporation, TamilNadu Public Health Department, India Abstract This paper focuses on studying the impact of climate data and vector larval indices on dengue outbreak. After a comparative study of the various LSTM models, Bidirectional Stacked LSTM network is selected to analyze the time series climate data and health data collected for the state of Tamil Nadu (India), for the period 2014 to 2020. Prediction accuracy of the model is significantly improved by including the mosquito larval index, an indication of VBD control measure. Introduction Dengue Fever (DF), an outbreak prone viral infection is transmitted by Aedes mosquitoes, which is mostly found in tropical and sub-tropical climatic regions. The infection can result in Dengue Haemorrhagic Fever (DHF), also known as severe dengue which can be fatal.