Randomness accelerates the dynamic clearing process of the COVID-19 outbreaks in China.

He, Sha; Yan, Dingding; Shu, Hongying; Tang, Sanyi; Wang, Xia; Cheke, Robert A

He, Sha; Yan, Dingding; Shu, Hongying; Tang, Sanyi; Wang, Xia; Cheke, Robert A.

Afiliação

He S; School of Mathematics and Statistics, Shaanxi Normal University, Xi'an, 710119, China.
Yan D; School of Mathematics and Statistics, Shaanxi Normal University, Xi'an, 710119, China.
Shu H; School of Mathematics and Statistics, Shaanxi Normal University, Xi'an, 710119, China.
Tang S; School of Mathematics and Statistics, Shaanxi Normal University, Xi'an, 710119, China.
Wang X; School of Mathematics and Statistics, Shaanxi Normal University, Xi'an, 710119, China. Electronic address: xiawang@snnu.edu.cn.
Cheke RA; Natural Resources Institute, University of Greenwich at Medway, Central Avenue, Chatham Maritime, Chatham, Kent, ME4 4TB, UK.

Math Biosci ; 363: 109055, 2023 09.

Article em En | MEDLINE | ID: mdl-37532101

Assuntos

COVID-19; Humanos; COVID-19/epidemiologia; SARS-CoV-2; Teorema de Bayes; Surtos de Doenças; China/epidemiologia

Palavras-chave

Change point; Data fitting; Mean first passage time; Newly reported cases; Stochastic difference model

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Clinical_trials / Prognostic_studies Limite: Humans País como assunto: Asia Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google