Using an influenza surveillance system to estimate the number of SARS-CoV-2 infections in Beijing, China, weeks 2 to 6 2023

With COVID-19 public health control measures downgraded in China in January 2023, reported COVID-19 case numbers may underestimate the true numbers after the SARS-CoV-2 Omicron wave. Using a multiplier model based on our influenza surveillance system, we estimated that the overall incidence of SARS-...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Li, Zhang, Yi, Duan, Wei, Wu, Shuangsheng, Sun, Ying, Ma, Chunna, Wang, Quanyi, Zhang, Daitao, Yang, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Centre for Disease Prevention and Control (ECDC) 2023
Materias:
Rapid Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021470/
https://www.ncbi.nlm.nih.gov/pubmed/36927716
http://dx.doi.org/10.2807/1560-7917.ES.2023.28.11.2300128
Descripción
Sumario:With COVID-19 public health control measures downgraded in China in January 2023, reported COVID-19 case numbers may underestimate the true numbers after the SARS-CoV-2 Omicron wave. Using a multiplier model based on our influenza surveillance system, we estimated that the overall incidence of SARS-CoV-2 infections was 392/100,000 population in Beijing during the 5 weeks following policy adjustment. No notable change occurred after the Spring Festival in early February. The multiplier model provides an opportunity for assessing the actual COVID-19 situation.

Ejemplares similares