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November 30, 2024Journal of Student ResearchOpen Access

A Neural Network Model to Predict the Effect of Climate Change on West Nile Virus (WNV) Epidemiology

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Authors

PAP AggarwalCGClaire P Gueneau

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Overview

Neural network predicts spatial and temporal dynamics of west nile virus in the USA, suggesting climate change impact.

Key Points

  • The neural network model predicts the effect of climate change on west nile virus epidemics, emphasizing the importance of environmental factors.
  • Key evidence shows that changes in temperature and rainfall significantly correlate with variations in west nile virus incidence.
  • This study utilizes a neural network approach to analyze historical disease and climate data across major US cities.
  • Understanding these dynamics may enable better management and forecasting of west nile virus spread based on changing climate conditions.

Cite This Study

Aggarwal et al. (2024) studied this question.

synapsesocial.com/papers/68af659bad7bf08b1eae57c2https://doi.org/10.47611/jsrhs.v13i4.7704
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