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

HIGHLIGHTS

• who: Daisuke Yoneoka from the Diseases, Tokyo, Japan have published the research: Distributed lag interrupted time series model for unclear intervention timing: effect of a statement of emergency during COVID-19 pandemic, in the Journal: (JOURNAL) of May/19,/2020
• what: The authors propose a new model to overcome this limitation. The authors propose a new ITS model ARIMAITS-DL that combines the Average (ARIMA) model and_(2) functional terms. The authors discuss how to select the distribution of the effect the model construction process diagnosing the model fitting and interpreting the results. By extending . . .
  

   

  

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