Analysis and prediction of COVID-19 epidemic in South Africa.

Ding, Wei; Wang, Qing-Guo; Zhang, Jin-Xi

Ding, Wei; Wang, Qing-Guo; Zhang, Jin-Xi.

Afiliação

Ding W; Faculty of Electrical Engineering and Automation, Changshu Institute of Technology, Changshu, 215500, PR China; Institute for Intelligent Systems, Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg, 2006, South Africa.
Wang QG; Institute of Artificial Intelligence and Future Networks, Beijing Normal University at Zhuhai; BNU-HKBU United International College, Zhuhai, 519000, PR China. Electronic address: wangqingguo@uic.edu.cn.
Zhang JX; State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, 110819, PR China.

ISA Trans ; 124: 182-190, 2022 May.

Article em En | MEDLINE | ID: mdl-33551132

Assuntos

COVID-19; COVID-19/epidemiologia; Previsões; Humanos; Pandemias; SARS-CoV-2; África do Sul/epidemiologia

Palavras-chave

COVID-19; Epidemic forecasting; Epidemic situation analysis; Evolution algorithm; South Africa

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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 4_TD / 6_ODS3_enfermedades_notrasmisibles Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Africa Idioma: En Revista: ISA Trans Ano de publicação: 2022 Tipo de documento: Article

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