Editors Choice – Correlations and Hierarchical Clustering Investigation Between Weather and SARS-CoV-2

Author(s):Kaoutar El Handri* and Abdellah Idrissi

Volume 15, Issue 6, 2022

Published on: 09 November, 2020

Pages: 9

DOI: 10.2174/2666255813999201109201006


Background: Humanity today faces a global emergency. It is conceivably the greatest crisis of our generation. The coronavirus pandemic, which has many global implications, has led researchers worldwide to seek solutions to this crisis, including the search for effective treatment in the first place.

Objective: This study aims to identify the factors that can have an essential effect on COVID-19 comportment. Having proper management and control of imports of COVID-19 depends on many factors that are highly dependent on a country’s sanitary capacity and infrastructure technology. Nevertheless, meteorological parameters can also be a connecting factor to this disease; since temperature and humidity are compatible with a seasonal respiratory virus’s behavior.

Method: In this work, we analyze the correlation between weather and the COVID-19 epidemic in Casablanca, the economic capital of Morocco. It is based on the primary analysis of COVID-19 surveillance data from the Ministry of Health of the Kingdom of Morocco and weather data from the meteorological data. Weather factors include minimum temperature (°C), maximum temperature (°C), mean temperature (°C), maximum wind speed (Km/h), humidity (%), and rainfall (mm). The Spearman and Kendall rank correlation test is used for data analysis. Between the weather components.

Results: The mean temperature, maximum temperature (°C) and Humidity were significantly correlated with the COVID-19 pandemic with respectively (r= -0.432, r = -0.480; r=0.402, and p=- 0.212, p= -0.160, and p= -0.240).

Conclusion: This discovery helps reduce the incidence rate of COVID-19 in Morocco, considering the significant correlation between weather and COVID-19, of about more than 40%. Read now: https://bit.ly/3d4BXPL

Author: Bentham Science Publishers

A major STM journal publisher of more than 100 online and print journals and related print/online book series, Bentham Science answers the information needs of scientists in the fields of pharmaceutical, biomedical, medical, engineering, technology, computer and social sciences.

Leave a Reply

Please log in using one of these methods to post your comment:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

%d bloggers like this: