mlsanityData to 13 Oct 2026

Enhanced Dengue Outbreak Prediction in Tamilnadu using Meteorological and Entomological data

arXiv 2306.13456 ↗First posted 23 Jun 2023cs.LGcited by 0

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 13 Oct 2026). Builds on 2 of its 20 references that are in the map. First posted on arXiv 23 Jun 2023.

Builds on

2 of 20 references.

References · 2

  1. 2018Modeling Dengue Vector Population Using Remotely Sensed Data and Machine Learningcited by 2
  2. 2019Next-Generation High-Resolution Vector-Borne Disease Risk Assessmentcited by 1

Built on by

Not cited yet.