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Vector Autoregression for Forecasting the Number of COVID-19 Cases and Analyzing Behavioral Indicators in the Philippines: Ecologic Time-Trend Study.

Angelica Anne Eligado LatorreKeiko NakamuraKaoruko SeinoTakanori Hasegawa
Published in: JMIR formative research (2023)
To the best of our knowledge, this is the first study that forecasted the number of COVID-19 cases and explored the relationship of behavioral indicators with the number of COVID-19 cases in the Philippines. The resemblance of the forecasts from model 2 with the actual data suggests its potential in providing information about future contingencies. Granger causality also implies the importance of examining changes in mobility and public interest for surveillance purposes.
Keyphrases
  • coronavirus disease
  • sars cov
  • healthcare
  • public health
  • mental health
  • emergency department
  • big data