This paper is in the following e-collection/theme issue:

Early Results from COVID-19 Studies (296) JMIR Theme Issue: COVID-19 Special Issue (2441) Ecological Momentary Assessment (EMA) (305) Behavioural Surveillance for Public Health (221) Public (e)Health, Digital Epidemiology and Public Health Informatics (699) Surveillance Systems (454) Innovative Methods in Public Health and Surveillance (324)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46357, first published .
Vector Autoregression for Forecasting the Number of COVID-19 Cases and Analyzing Behavioral Indicators in the Philippines: Ecologic Time-Trend Study

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

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

Authors of this article:

Angelica Anne Eligado Latorre1, 2 Author Orcid Image ;   Keiko Nakamura1 Author Orcid Image ;   Kaoruko Seino1 Author Orcid Image ;   Takanori Hasegawa3 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics

Angelica Anne Eligado Latorre   1, 2 , MPH ;   Keiko Nakamura   1 , MD, PhD ;   Kaoruko Seino   1 , MSc, PhD ;   Takanori Hasegawa   3 , PhD

1 Department of Global Health Entrepreneurship, Tokyo Medical and Dental University, Tokyo, Japan

2 Department of Epidemiology and Biostatistics, College of Public Health, University of the Philippines-Manila, Manila, Philippines

3 Department of Integrated Analytics, Medical and Dental Data Science Center, Tokyo Medical and Dental University, Tokyo, Japan

Corresponding Author:

  • Keiko Nakamura, MD, PhD
  • Department of Global Health Entrepreneurship
  • Tokyo Medical and Dental University
  • Yushima 1-5-45, Bunkyo-ku
  • Tokyo, 113-8510
  • Japan
  • Phone: 81 3 5803 4048
  • Email: nakamura.ith@tmd.ac.jp