EventsThe 3rd International Electronic Conference on Environmental Research and Public Health —Public Health Issues in the Context of the COVID-19 Pandemic
Event submissions
Published
with-doi10.3390/ECERPH-3-09094
This submission belongs to the session A. Infectious Disease Epidemiology of the event The 3rd International Electronic Conference on Environmental Research and Public Health —Public Health Issues in the Context of the COVID-19 Pandemic
Published date
11 Jan, 2021
Citation
RACHID LAGTAYI, Lamya LAIRGI, Abdelmajid DAYA, Ahmed KHOUYA, The impact of the average temperature, humidity, wind speed, altitude and population density on daily COVID-19 infections’ evolution, in Proceedings of The 3rd International Electronic Conference on Environmental Research and Public Health —Public Health Issues in the Context of the COVID-19 Pandemic, 11 January–25 January 2021, MDPI: Basel, Switzerland, doi: 10.3390/ECERPH-3-09094
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The impact of the average temperature, humidity, wind speed, altitude and population density on daily COVID-19 infections’ evolution

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RACHID LAGTAYI 1
Lamya LAIRGI 2
Abdelmajid DAYA 2
Ahmed KHOUYA 3
1. Department of Sciences, Industrial and Civil Technologies, National School of Applied Sciences, Tetouan, University Abdelmalek Essaâdi, Morocco, 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
Abstract

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
Manuscript
042230.pdf
Oral Presentation
Manuscript Presenation.pptx
Poster
Manuscript Presentation.pdf
Manuscript Presentation.pdf
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