Enhanced Dengue Outbreak Prediction in Tamilnadu using Meteorological
  and Entomological data
Varalakshmi M Daphne Lopez
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.