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Predicting the number of COVID-19 infections and deaths in USA.
Ebubeogu, Amarachukwu Felix; Ozigbu, Chamberline Ekene; Maswadi, Kholoud; Seixas, Azizi; Ofem, Paulinus; Conserve, Donaldson F.
Afiliação
  • Ebubeogu AF; Department of Software Engineering, University of Malaya, Kuala Lumpur, 50603, Malaysia. felixbosken@hotmail.com.
  • Ozigbu CE; Department of Health Services Policy and Management, Arnold School of Public, Health, Columbia, 29208, SC, United States.
  • Maswadi K; Department of Management Information Systems, Jazan University, Jazan, 45142, Saudi Arabia.
  • Seixas A; Department of Psychiatry and Behavioral Sciences, The University of Miami Miller School of Medicine, Miami, 33136, FL, United States.
  • Ofem P; Department of Software Engineering, University of Malaya, Kuala Lumpur, 50603, Malaysia.
  • Conserve DF; Department of Prevention and Community Health, Milken Institute School of Public Health, The George Washington University, Washington, 20052, United States.
Global Health ; 18(1): 37, 2022 03 28.
Article em En | MEDLINE | ID: mdl-35346262
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans País como assunto: America do norte Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans País como assunto: America do norte Idioma: En Ano de publicação: 2022 Tipo de documento: Article