Model-based analysis of the incidence trends and transmission dynamics of COVID-19 associated with the Omicron variant in representative cities in China.

Ma, Yifei; Xu, Shujun; Luo, Yuxin; Li, Jiantao; Lei, Lijian; He, Lu; Wang, Tong; Yu, Hongmei; Xie, Jun

Ma, Yifei; Xu, Shujun; Luo, Yuxin; Li, Jiantao; Lei, Lijian; He, Lu; Wang, Tong; Yu, Hongmei; Xie, Jun.

Afiliação

Ma Y; School of Public Health, Shanxi Medical University, Taiyuan, 030001, China.
Xu S; School of Public Health, Shanxi Medical University, Taiyuan, 030001, China.
Luo Y; School of Public Health, Shanxi Medical University, Taiyuan, 030001, China.
Li J; School of Management, Shanxi Medical University, Taiyuan, 030001, China.
Lei L; School of Public Health, Shanxi Medical University, Taiyuan, 030001, China.
He L; School of Public Health, Shanxi Medical University, Taiyuan, 030001, China.
Wang T; School of Public Health, Shanxi Medical University, Taiyuan, 030001, China.
Yu H; School of Public Health, Shanxi Medical University, Taiyuan, 030001, China. yu@sxmu.edu.cn.
Xie J; Shanxi Provincial Key Laboratory of Major Diseases Risk Assessment, Taiyuan, 030001, China. yu@sxmu.edu.cn.

BMC Public Health ; 23(1): 2400, 2023 12 02.

Article em En | MEDLINE | ID: mdl-38042794

Assuntos

COVID-19; Humanos; COVID-19/epidemiologia; China/epidemiologia; Cidades/epidemiologia; Incidência; SARS-CoV-2

Palavras-chave

ARIMA model; COVID-19; Interventions; LSTM model; Omicron; Predictive performance; SEAIQRD model; Transmission dynamics

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Limite: Humans País/Região como assunto: Asia Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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