Using an adjusted Serfling regression model to improve the early warning at the arrival of peak timing of influenza in Beijing.

Wang, Xiaoli; Wu, Shuangsheng; MacIntyre, C Raina; Zhang, Hongbin; Shi, Weixian; Peng, Xiaomin; Duan, Wei; Yang, Peng; Zhang, Yi; Wang, Quanyi

Wang, Xiaoli; Wu, Shuangsheng; MacIntyre, C Raina; Zhang, Hongbin; Shi, Weixian; Peng, Xiaomin; Duan, Wei; Yang, Peng; Zhang, Yi; Wang, Quanyi.

Afiliação

Wang X; Beijing Center for Disease Prevention and Control, Beijing, China.
Wu S; Beijing Center for Disease Prevention and Control, Beijing, China.
MacIntyre CR; School of Public Health and Community Medicine, University of New South Wales, Sydney, NSW, Australia.
Zhang H; School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China.
Shi W; Beijing Center for Disease Prevention and Control, Beijing, China.
Peng X; Beijing Center for Disease Prevention and Control, Beijing, China.
Duan W; Beijing Center for Disease Prevention and Control, Beijing, China.
Yang P; Beijing Center for Disease Prevention and Control, Beijing, China.
Zhang Y; Beijing Center for Disease Prevention and Control, Beijing, China.
Wang Q; Beijing Center for Disease Prevention and Control, Beijing, China.

PLoS One ; 10(3): e0119923, 2015.

Article em En | MEDLINE | ID: mdl-25756205

Assuntos

Epidemias; Influenza Humana/epidemiologia; Pequim/epidemiologia; Simulação por Computador; Humanos; Modelos Estatísticos; Análise de Regressão

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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 2_ODS3 Base de dados: MEDLINE Assunto principal: Influenza Humana / Epidemias Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: PLoS One Ano de publicação: 2015 Tipo de documento: Article

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