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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.
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
ABSTRACT
COVID19 has aptly revealed that airborne viruses such as SARS-CoV-2 with the ability to rapidly mutate combined with high rates of transmission and fatality can cause a deadly worldwide pandemic in a matter of weeks (Plato et al., 2021). Apart from vaccines and post-infection treatment options, strategies for preparedness will be vital in responding to the current and future pandemics. Therefore, there is wide interest in approaches that allow predictions of increase in infections ('surges') before they occur. We describe here real-time genomic surveillance particularly based on mutation analysis, of viral proteins as a methodology for a priori determination of surge in number of infection cases. The full results are available for SARS-CoV-2 at http//pandemics.okstate.edu/covid19/, and are updated daily as new virus sequences become available. This approach is generic and will also be applicable to other pathogens.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 2_ODS3 Problema de salud: 2_cobertura_universal 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

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 2_ODS3 Problema de salud: 2_cobertura_universal 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
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