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.
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The impact of the average temperature, humidity, wind speed, altitude and population density on daily COVID-19 infections’ evolution
Published: 11 January 2021 by MDPI in The 3rd International Electronic Conference on Environmental Research and Public Health —Public Health Issues in the Context of the COVID-19 Pandemic session Infectious Disease Epidemiology
Keywords: COVID-19 infections; Climate conditions; Altitude; Population density; Mathematical model