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Application of Machine Learning to Study the Association between Environmental Factors and COVID-19 Cases in Mississippi, USA
2022
Mathematics
Because of the large-scale impact of COVID-19 on human health, several investigations are being conducted to understand the underlying mechanisms affecting the spread and transmission of the disease. The present study aimed to assess the effects of selected environmental factors such as temperature, humidity, dew point, wind speed, pressure, and precipitation on the daily increase in COVID-19 cases in Mississippi, USA, during the period from January 2020 to August 2021. A machine learning model
doi:10.3390/math10060850
pmid:36092863
pmcid:PMC9455279
fatcat:hh4jg4gsm5hbddbzejqo5ihacu