Interruption time series analysis using autoregressive integrated moving average model: evaluating the impact of COVID-19 on the epidemic trend of gonorrhea in China

Interruption time series analysis using autoregressive integrated moving average model: evaluating the impact of COVID-19 on the epidemic trend of gonorrhea in China

Abstract Background Interrupted time series (ITS) analysis is a growing method for assessing intervention impacts on diseases. However, it remains unstudied how the COVID-19 outbreak impacts gonorrhea. This study aimed to evaluate the effect of COVID-19 on gonorrhea and predict gonorrhea epidemics u...

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Bibliographic Details
Main Authors: Yanyan Li, Xingyan Liu, Xinxiao Li, Chenlu Xue, Bingjie Zhang, Yongbin Wang
Format: Article
Language:English
Published: BMC 2023-10-01
Series:BMC Public Health
Subjects:
Autoregressive integrated moving average models
Interrupted time series analysis
Intervention analysis
COVID-19
Gonorrhea
Online Access:https://doi.org/10.1186/s12889-023-16953-5

Internet

https://doi.org/10.1186/s12889-023-16953-5

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