Distributed lag interrupted time series model for unclear intervention timing: effect of a statement of emergency during COVID-19 pandemic

Distributed lag interrupted time series model for unclear intervention timing: effect of a statement of emergency during COVID-19 pandemic

Abstract Background Interrupted time series (ITS) analysis has become a popular design to evaluate the effects of health interventions. However, the most common formulation for ITS, the linear segmented regression, is not always adequate, especially when the timing of the intervention is unclear. In...

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Bibliographic Details
Main Authors: Daisuke Yoneoka, Takayuki Kawashima, Yuta Tanoue, Shuhei Nomura, Akifumi Eguchi
Format: Article
Language:English
Published: BMC 2022-07-01
Series:BMC Medical Research Methodology
Subjects:
Interrupted time series
Distributed lag
Unclear intervention timing
Autoregressive integrated moving average model
COVID-19
Human mobility index
Online Access:https://doi.org/10.1186/s12874-022-01662-1

Internet

https://doi.org/10.1186/s12874-022-01662-1

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