2021-04-23, 11:45–12:15, Track 2
Finding relation between weather parameters and covid-19 spread using netcdf data.
The purpose of this lecture is finding the effect of different parameters on the prevalence of corona. In this paper, similar behaviors in three parameters of wind speed, temperature and air pressure are clustered between 70 cities and then by clustering the daily changes in the statistics of corona virus cases, cities that participate in different clusters are identified and the impact of each of these parameters on corona outbreak determined.