Autoregressive count data modeling on mobility patterns to predict cases of covid-19 infection

HIGHLIGHTS

  • who: Jing Zhao from the School of Business Administration, Xi'an Eurasia University, Yanta District, Xi'an, China have published the paper: Autoregressive count data modeling on mobility patterns to predict cases of COVID-19 infection, in the Journal: (JOURNAL) of February/15,/2020
  • what: The authors propose an autoregressive count data model under the framework of a generalized linear model to illustrate a process of model specification and selection. To handle these uncertainties, the aim of this paper is to investigate how mobility change can be effectively used to predict the number of cases . . .

     

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