The outbreak of Corona Virus Disease 2019 (COVID-19) has affected the lives of people all over the world. It is particularly urgent and important to analyze the epidemic spreading law and support the implementation of epidemic prevention measures. It is found that there is a moderate to high correlations between the number of newly diagnosed cases per day and temperature and relative humidity in countries with more than 10,000 confirmed cases worldwide. In this paper, the correlation between temperature/relative humidity and the number of newly diagnosed cases is obvious. Governments can adjust the epidemic prevention measures according to climate change, which will more effectively control the spread of COVID-19.
【저자키워드】 COVID-19, Multiple linear regression, climate correlation, 【초록키워드】 Epidemic, Measures, Corona, outbreak, implementation, temperature, correlation, moderate, Support, confirmed case, high correlation, measure, country, the epidemic, spread of COVID-19, affected, diagnosed, per day, adjust, 【제목키워드】 Climate,