Modelling of reproduction number for COVID-19 in India and high incidence states.

Marimuthu, S; Joy, Melvin; Malavika, B; Nadaraj, Ambily; Asirvatham, Edwin Sam; Jeyaseelan, L

Marimuthu, S; Joy, Melvin; Malavika, B; Nadaraj, Ambily; Asirvatham, Edwin Sam; Jeyaseelan, L.

Afiliação

Marimuthu S; Department of Biostatistics, Christian Medical College, Vellore, Tamil Nadu, 632 002, India.
Joy M; Department of Biostatistics, Christian Medical College, Vellore, Tamil Nadu, 632 002, India.
Malavika B; Department of Biostatistics, Christian Medical College, Vellore, Tamil Nadu, 632 002, India.
Nadaraj A; Department of Biostatistics, Christian Medical College, Vellore, Tamil Nadu, 632 002, India.
Asirvatham ES; Health Systems and Policy, Health Systems Research India Initiative (HSRII), Trivandrum, India.
Jeyaseelan L; Department of Biostatistics, Christian Medical College, Vellore, Tamil Nadu, 632 002, India.

Clin Epidemiol Glob Health ; 9: 57-61, 2021.

Article em En | MEDLINE | ID: mdl-32838059

Palavras-chave

COVID-19; Exponential growth method; Incident cases; Reproduction number; Time dependent method

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Incidence_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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