COVID-19 and Weather Patterns

Kyle Bassignani, Jeff Borgerson, and Christian Westbrook
Colorado State University

Introduction

The goal of this work is to determine whether or not weather patterns should be considered as supporting input data when making predictions about new daily COVID-19 cases within a given geographical space. Using census, weather, and COVID-19 datasets provided by the Urban Sustain project, the authors attempt to quantify the correlation between particular weather patterns and COVID-19 transmission events.

Tools

TensorFlow: https://www.tensorflow.org/
Keras: https://keras.io/