A Bioinformatics Tool for Predicting Future COVID-19 Waves Based on a Retrospective Analysis of the Second Wave in India: Model Development Study.

Kumar, Ashutosh; Asghar, Adil; Dwivedi, Prakhar; Kumar, Gopichand; Narayan, Ravi K; Jha, Rakesh K; Parashar, Rakesh; Sahni, Chetan; Pandey, Sada N

Kumar, Ashutosh; Asghar, Adil; Dwivedi, Prakhar; Kumar, Gopichand; Narayan, Ravi K; Jha, Rakesh K; Parashar, Rakesh; Sahni, Chetan; Pandey, Sada N.

Afiliação

Kumar A; Department of Anatomy All India Institute of Medical Sciences - Patna Patna India.
Asghar A; Department of Anatomy All India Institute of Medical Sciences - Patna Patna India.
Dwivedi P; Department of Anatomy All India Institute of Medical Sciences - Patna Patna India.
Kumar G; Department of Anatomy All India Institute of Medical Sciences - Patna Patna India.
Narayan RK; Department of Anatomy Dr B C Roy Multispeciality Medical Research Center Indian Institute of Technology-Kharagpur Kharagpur India.
Jha RK; Department of Anatomy All India Institute of Medical Sciences - Patna Patna India.
Parashar R; India Health Lead Oxford Policy Management Limited Oxford United Kingdom.
Sahni C; Department of Anatomy Institute of Medical Sciences Banaras Hindu University Varanasi India.
Pandey SN; Department of Zoology Banaras Hindu University Varanasi India.

JMIR Bioinform Biotech ; 3(1): e36860, 2022.

Article em En | MEDLINE | ID: mdl-36193192

Palavras-chave

COVID-19; SARS-CoV-2; epidemiology; genomic surveillance; second wave

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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