Genomic Modeling as an Approach to Identify Surrogates for Use in Experimental Validation of SARS-CoV-2 and HuNoV Inactivation by UV-C Treatment.

Pendyala, Brahmaiah; Patras, Ankit; Pokharel, Bharat; D'Souza, Doris

Pendyala, Brahmaiah; Patras, Ankit; Pokharel, Bharat; D'Souza, Doris.

Afiliação

Pendyala B; Department of Agricultural and Environmental Sciences, Food Science Program, College of Agriculture, Tennessee State University, Nashville, TN, United States.
Patras A; Department of Agricultural and Environmental Sciences, Food Science Program, College of Agriculture, Tennessee State University, Nashville, TN, United States.
Pokharel B; Department of Agricultural and Environmental Sciences, Food Science Program, College of Agriculture, Tennessee State University, Nashville, TN, United States.
D'Souza D; Department of Food Science, University of Tennessee, Knoxville, Knoxville, TN, United States.

Front Microbiol ; 11: 572331, 2020.

Article em En | MEDLINE | ID: mdl-33133042

Palavras-chave

SARS-CoV-2 (2019-nCoV); UV-C inactivation; genomic modeling; norovirus (NoV); surrogates; viruses

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Microbiol Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Suíça

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