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A novel heuristic algorithm for the modeling and risk assessment of the COVID-19 pandemic phenomenon

Asteris, Panagiotis G., 1964-, Douvika Maria G., Karamani Chrysoula A., Skentou Athanasia D., Chlichlia, Aikaterini, Cavaleri Liborio, Daras Tryfonas, Armaghani Danial J., Zaoutis, Theoklis E

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URIhttp://purl.tuc.gr/dl/dias/75C4DB88-95FF-47D6-B85D-0630C7E089CB-
Identifierhttps://doi.org/10.32604/cmes.2020.013280-
Identifierhttps://www.techscience.com/CMES/v125n2/40324-
Languageen-
Extent14 pagesen
Extent1,35 megabytesen
TitleA novel heuristic algorithm for the modeling and risk assessment of the COVID-19 pandemic phenomenonen
CreatorAsteris, Panagiotis G., 1964-en
CreatorDouvika Maria G.en
CreatorKaramani Chrysoula A.en
CreatorSkentou Athanasia D.en
CreatorChlichlia, Aikaterinien
CreatorCavaleri Liborioen
CreatorDaras Tryfonasen
CreatorΔαρας Τρυφωναςel
CreatorArmaghani Danial J.en
CreatorZaoutis, Theoklis Een
PublisherTech Science Pressen
DescriptionThis article belongs to the special issue: Soft computing techniques in materials science and engineeringen
Content SummaryThe modeling and risk assessment of a pandemic phenomenon such as COVID-19 is an important and complicated issue in epidemiology, and such an attempt is of great interest for public health decision-making. To this end, in the present study, based on a recent heuristic algorithm proposed by the authors, the time evolution of COVID-19 is investigated for six different countries/states, namely New York, California, USA, Iran, Sweden and UK. The number of COVID-19-related deaths is used to develop the proposed heuristic model as it is believed that the predicted number of daily deaths in each country/state includes information about the quality of the health system in each area, the age distribution of population, geographical and environmental factors as well as other conditions. Based on derived predicted epidemic curves, a new 3D-epidemic surface is proposed to assess the epidemic phenomenon at any time of its evolution. This research highlights the potential of the proposed model as a tool which can assist in the risk assessment of the COVID-19. Mapping its development through 3D-epidemic surface can assist in revealing its dynamic nature as well as differences and similarities among different districts. en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2021-09-27-
Date of Publication2020-
SubjectAlgorithmen
SubjectCOVID-19en
SubjectGaussian-functionen
SubjectHeuristic modelen
SubjectPandemic trenden
SubjectPredictionen
SubjectSARS-CoV-2en
Bibliographic CitationP. G. Asteris, M. G. Douvika, C. A. Karamani, A. D. Skentou, K. Chlichlia, L. Cavaleri, T. Daras, D. J. Armaghani, and T. E. Zaoutis, “A novel heuristic algorithm for the modeling and risk assessment of the COVID-19 pandemic phenomenon,” CMES-Comp. Model. Eng. Sci., vol. 125, no. 2, pp. 815–828, 2020. doi: 10.32604/cmes.2020.013280en

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