I. Clitan, V. Muresan, M. Abrudean, Andrei F. Clitan
{"title":"Influence of Humidity on the Evolution of COVID-19 Daily Cases in Romania — Data Based Study","authors":"I. Clitan, V. Muresan, M. Abrudean, Andrei F. Clitan","doi":"10.7763/ijmo.2022.v13.806","DOIUrl":null,"url":null,"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%.","PeriodicalId":134487,"journal":{"name":"International Journal of Modeling and Optimization","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Modeling and Optimization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7763/ijmo.2022.v13.806","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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%.