Abstract—Upon an active research regarding the influence of environmental factors on the COVID-19 infection rate, that denoted a divided opinion between a positive or negative influence in term of humidity and the SARS COV-2 virus spread, the authors were able to obtain a quantification effect of relative humidity (RH) influence on the spread of SARS COV-2 virus, in Romania, and consequently the influence of RH on the future number of daily COVID-19 positive cases. The discussed quantification was validated by means of computer software, and the aid of a mathematical model that predicts the outcome of COVID-19 disease on a horizon of 28 days, based on a complex neural network structure, trained using consistent data tracking the evolution of daily COVID-19 cases from March 2020 till October 2020, tool designed by the authors themselves. The validated quantification revealed that the maximum influence of RH on the increase of daily COVID-19 infections is between 60% - 70%, due to the temperate climate, while zero influence occurs at a RH higher than 90%.
Index Terms—Relative humidity, environmental factors, COVID-19 evolution, prediction model, neural network.
Iulia Clitan, Vlad Muresan, and Mihail Abrudean are with the Automation Department, Technical University of Cuj-Napoca, Romania (e-mail: iulia.inoan@aut.utcluj.ro, vlad.muresan@aut.utcluj.ro, mihai.abrudean@aut.utcluj.ro).
Andrei F. Clitan is with the Railways, Roads and Bridges Department, Technical University of Cuj-Napoca, Romania (e-mail: andrei.clitan@cfdp.utcluj.ro).
Cite: Iulia Clitan, Vlad Muresan, Mihail Abrudean, and Andrei F. Clitan , "Influence of Humidity on the Evolution of COVID-19 Daily Cases in Romania — Data Based Study ," International Journal of Modeling and Optimization vol. 12, no. 3, pp. 87-91, 2022.
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