Interrupted time series analysis using the ARIMA model of the impact of COVID-19 on the incidence rate of notifiable communicable diseases in China

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic in China is ongoing. Some studies have shown that the incidence of respiratory and intestinal infectious diseases in 2020 decreased significantly compared with previous years. Interrupted time series (ITS) is a time series analysis method...

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Detalles Bibliográficos
Autores principales: Zhou, Qin, Hu, Junxian, Hu, Wensui, Li, Hailin, Lin, Guo-zhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10266306/
https://www.ncbi.nlm.nih.gov/pubmed/37316780
http://dx.doi.org/10.1186/s12879-023-08229-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10266306/
https://www.ncbi.nlm.nih.gov/pubmed/37316780
http://dx.doi.org/10.1186/s12879-023-08229-5

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