Stochastic SIR model predicts the evolution of COVID-19 epidemics from public health and wastewater data in small and medium-sized municipalities: A one year study.

Pájaro, Manuel; Fajar, Noelia M; Alonso, Antonio A; Otero-Muras, Irene

Pájaro, Manuel; Fajar, Noelia M; Alonso, Antonio A; Otero-Muras, Irene.

Afiliação

Pájaro M; BioProcess Engineering Group, IIM-CSIC. Spanish National Research Council, Eduardo Cabello 6, 36208, Vigo, Spain.
Fajar NM; Universidade da Coruña, CITIC research center, Department of Mathematics, Campus Elviña s/n, A Coruña, 15071, Spain.
Alonso AA; BioProcess Engineering Group, IIM-CSIC. Spanish National Research Council, Eduardo Cabello 6, 36208, Vigo, Spain.
Otero-Muras I; BioProcess Engineering Group, IIM-CSIC. Spanish National Research Council, Eduardo Cabello 6, 36208, Vigo, Spain.

Chaos Solitons Fractals ; 164: 112671, 2022 Nov.

Article em En | MEDLINE | ID: mdl-36091637

Palavras-chave

COVID-19; Chemical master equation; SARS-coV-2; SIR model; Stochastic mechanistic model; Stochastic simulation algorithm

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Chaos Solitons Fractals Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Espanha

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