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The impact of the average temperature, humidity, wind speed, altitude and population density on daily COVID-19 infections’ evolution
* 1 , 2 , 2 , 3
1  Department of Sciences, Industrial and Civil Technologies, National School of Applied Sciences, Tetouan, University Abdelmalek Essaâdi, Morocco
2  Department of Physics, Laboratory of M3ER-, FSTE, Moulay Ismail University, Morocco
3  Department of Electrical and Industrial Engineering, National School of Applied Sciences, Tangier, Abdelmalek Essaâdi University, Morocco


The aim of this study is to investigate the impact of climate conditions, altitude and population density on daily COVID-19 infections across the following six cities : Casablanca, New York, Madrid, Lombardy-Milan, Paris, Wuhan between the 1st February and 25th April 2020.The results show that for an average wind speed greater than 25 km/h ,the number of daily COVID-19 infections is slightly decreased with a rate of 10 %, while the temperature, humidity altitude factors didn’t show any clear impact on its evolution, furthermore, the population density strongly affects the progression of COVID-19 infections with an approximate rate of 90%. Finally, we have proposed a mathematical model to estimate the evolution of COVID-19 infections over time by taking into consideration simultaneously the wind speed and the population density effects.

Keywords: COVID-19 infections; Climate conditions; Altitude; Population density; Mathematical model