COVID-19 Epidemic and Opening of the Schools: Artificial Intelligence-Based Long-Term Adaptive Policy Making to Control the Pandemic Diseases

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dc.authoridTutsoy, Onder/0000-0001-6385-3025
dc.contributor.authorTutsoy, Önder
dc.date.accessioned2025-01-06T17:37:15Z
dc.date.available2025-01-06T17:37:15Z
dc.date.issued2021
dc.description.abstractEven though the COVID-19 pandemic has endured to be a serious threat for the societies, the state authorities have been seeking policies to re-open the schools and universities. It is clear that opening of the schools will cause more COVID-19 casualties, but the key question is how many students should attend the schools daily while keeping the casualties under control. In this paper, an artificial intelligence based long-term policy making algorithm has been developed to generate time varying policies for opening of the schools part-by-part. The key aim of the algorithm is to produce policies which maximize the number of the students attending the schools while minimizing the pandemic casualties under the worst-case uncertainties. The proposed algorithm consists of a multi-input-multi-output, uncertain, and adaptive background parametric model which is externally manipulated by the produced adaptive policy. Its long-term predictor assesses the possible future casualties under the current policy and its policy maker generates alternative solutions that minimize the future casualties. The results confirm that the proposed algorithm is able to generate effective policies which minimize the COVID-19 casualties while maximize the number of the students attending the schools under the worst-case uncertainties.
dc.identifier.doi10.1109/ACCESS.2021.3078080
dc.identifier.endpage68471
dc.identifier.issn2169-3536
dc.identifier.scopus2-s2.0-85106041630
dc.identifier.scopusqualityQ1
dc.identifier.startpage68461
dc.identifier.urihttps://doi.org/10.1109/ACCESS.2021.3078080
dc.identifier.urihttps://hdl.handle.net/20.500.14669/2169
dc.identifier.volume9
dc.identifier.wosWOS:000650450200001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIEEE-Inst Electrical Electronics Engineers Inc
dc.relation.ispartofIeee Access
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241211
dc.subjectCOVID-19
dc.subjectMathematical model
dc.subjectArtificial intelligence
dc.subjectUncertainty
dc.subjectPrediction algorithms
dc.subjectDiseases
dc.subjectParametric statistics
dc.subjectArtificial intelligence
dc.subjectCOVID-19
dc.subjectlong-term policy making
dc.subjectnon-pharmacological policies
dc.subjectopening of the schools
dc.subjectpandemic
dc.subjectparametric model
dc.subjectuncertainty
dc.titleCOVID-19 Epidemic and Opening of the Schools: Artificial Intelligence-Based Long-Term Adaptive Policy Making to Control the Pandemic Diseases
dc.typeArticle

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