Impact of Weather Conditions on the COVID-19 Pandemic in the United States: A Big Data Analytics Approach

Mohammadi, F. G.; Shenavarmasouleh, F.; Amini, M. H.; Arabnia, H. R.

It is 2020 and the world is dealing with a unique pandemic situation as the infamous Coronavirus (COVID-19) has caused an emergency in many countries. Assessing the death rate and confirmed cases of this epidemy with respect to external causes can be extremely beneficial;however, it comes with its own challenges. In this study, we aim to model and investigate the correlation between meteorology factors and the COVID-19 situation in the United States. To that end, we make use of two datasets for Spatiotemporal analysis. We first gather the surveillance data of COVID-19 released by Johns Hopkins University for the past few months and then fuse it with the meteorology data that we collect from the National Oceanic and Atmospheric Administration accordingly. The meteorology dataset provides different useful factors including but not limited to the minimum and maximum temperature of each day, all in Fahrenheit. We seek to find out the relationship between the weather condition and the virus spread and the number of death rates in different states of the United States. © 2020 IEEE.