A Fuzzy Logic Inference Model for the Evaluation of the Effect of Extrinsic Factors on the Transmission of Infectious Diseases

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dc.authoridSamanta, Sovan/0000-0003-3200-8990
dc.authoridKalampakas, Antonios/0000-0001-8821-6102
dc.authorwosiddas, kinkar ch/C-6678-2011
dc.authorwosidSamanta, Sovan/C-6054-2017
dc.contributor.authorKalampakas, Antonios
dc.contributor.authorSamanta, Sovan
dc.contributor.authorBera, Jayanta
dc.contributor.authorDas, Kinkar Chandra
dc.date.accessioned2024-05-19T14:40:34Z
dc.date.available2024-05-19T14:40:34Z
dc.date.issued2024
dc.departmentİstinye Üniversitesien_US
dc.description.abstractCOVID-19 is a contagious disease that poses a serious risk to public health worldwide. To reduce its spread, people need to adopt preventive behaviours such as wearing masks, maintaining physical distance, and isolating themselves if they are infected. However, the effectiveness of these measures may depend on various factors that differ across countries. This paper investigates how some factors, namely outsiders' effect, life expectancy, population density, smoker percentage, and temperature, influence the transmission and death rate of COVID-19 in ninety-five top-affected countries. We collect and analyse the data of COVID-19 cases and deaths using statistical tests. We also use fuzzy logic to model the chances of COVID-19 based on the results of the statistical tests. Unlike the conventional uniform weighting of the rule base in fuzzy logic, we propose a novel method to calculate the weights of the rule base according to the significance of the factors. This study aims to provide a comprehensive and comparative analysis of the factors of COVID-19 transmission and death rates among different countries.en_US
dc.identifier.doi10.3390/math12050648
dc.identifier.issn2227-7390
dc.identifier.issue5en_US
dc.identifier.scopus2-s2.0-85187900096en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org10.3390/math12050648
dc.identifier.urihttps://hdl.handle.net/20.500.12713/4982
dc.identifier.volume12en_US
dc.identifier.wosWOS:001180930100001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherMdpien_US
dc.relation.ispartofMathematicsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmz20240519_kaen_US
dc.subjectCovid-19en_US
dc.subjectStatistical Testsen_US
dc.subjectRule-Based Weightingen_US
dc.subjectFuzzy Logicen_US
dc.titleA Fuzzy Logic Inference Model for the Evaluation of the Effect of Extrinsic Factors on the Transmission of Infectious Diseasesen_US
dc.typeArticleen_US

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