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Simulating potential outbreaks of Delta and Omicron variants based on contact-tracing data: A modelling study in Fujian Province, China.
Guo, Yichao; Ye, Wenjing; Zhao, Zeyu; Guo, Xiaohao; Song, Wentao; Su, Yanhua; Zhao, Benhua; Ou, Jianming; Deng, Yanqin; Chen, Tianmu.
Afiliação
  • Guo Y; State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen City, 361102, Fujian Province, PR China.
  • Ye W; Fujian Provincial Center for Disease Control and Prevention, Fujian Province, PR China.
  • Zhao Z; State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen City, 361102, Fujian Province, PR China.
  • Guo X; State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen City, 361102, Fujian Province, PR China.
  • Song W; State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen City, 361102, Fujian Province, PR China.
  • Su Y; State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen City, 361102, Fujian Province, PR China.
  • Zhao B; State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen City, 361102, Fujian Province, PR China.
  • Ou J; Fujian Provincial Center for Disease Control and Prevention, Fujian Province, PR China.
  • Deng Y; Fujian Provincial Center for Disease Control and Prevention, Fujian Province, PR China.
  • Chen T; State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen City, 361102, Fujian Province, PR China.
Infect Dis Model ; 8(1): 270-281, 2023 Mar.
Article em En | MEDLINE | ID: mdl-36846047

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Infect Dis Model Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Infect Dis Model Ano de publicação: 2023 Tipo de documento: Article