Future COVID19 surges prediction based on SARS-CoV-2 mutations surveillance.

Najar, Fares Z; Linde, Evan; Murphy, Chelsea L; Borin, Veniamin A; Wang, Huan; Haider, Shozeb; Agarwal, Pratul K

Najar, Fares Z; Linde, Evan; Murphy, Chelsea L; Borin, Veniamin A; Wang, Huan; Haider, Shozeb; Agarwal, Pratul K.

Afiliación

Najar FZ; High-Performance Computing Center, Oklahoma State University, Stillwater, United States.
Linde E; High-Performance Computing Center, Oklahoma State University, Stillwater, United States.
Murphy CL; High-Performance Computing Center, Oklahoma State University, Stillwater, United States.
Borin VA; High-Performance Computing Center, Oklahoma State University, Stillwater, United States.
Wang H; Department of Physiological Sciences, Oklahoma State University, Stillwater, United States.
Haider S; University College London School of Pharmacy, Pharmaceutical and Biological Chemistry, London, United Kingdom.
Agarwal PK; University College London School of Pharmacy, Pharmaceutical and Biological Chemistry, London, United Kingdom.

Elife ; 122023 01 19.

Article en En | MEDLINE | ID: mdl-36655992

Asunto(s)

COVID-19; SARS-CoV-2; Humanos; COVID-19/epidemiología; Genómica; Mutación; SARS-CoV-2/genética

Palabras clave

COVID19; SARS-CoV-2; coronavirus; epidemiology; global health; infectious disease; microbiology; viruses

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: SARS-CoV-2 / COVID-19 Tipo de estudio: Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Humans Idioma: En Revista: Elife Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

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