Enhanced Dengue Outbreak Prediction in Tamilnadu using Meteorological and Entomological data

• URL: http://arxiv.org/abs/2306.13456v1
• Date: Fri, 23 Jun 2023 11:54:38 GMT
• Title: Enhanced Dengue Outbreak Prediction in Tamilnadu using Meteorological and Entomological data
• Authors: Varalakshmi M (VIT Vellore, India) and Daphne Lopez (VIT Vellore, India)
• Abstract summary: Bidirectional Stacked LSTM network is selected to analyze the time series climate data and health data collected for the state of Tamil Nadu (India) Prediction accuracy of the model is significantly improved by including the mosquito larval index, an indication of VBD control measure.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• 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.

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