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

Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1010) Outbreak and Pandemic Preparedness and Management (1673) Infodemiology and Infoveillance (1269) JMIR Theme Issue: COVID-19 Special Issue (2388) Behavioural Surveillance for Public Health (204) Early Results from COVID-19 Studies (277) Innovative Methods in Public Health and Surveillance (305) Infectious Diseases (non-STD/STI) (1478) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1481)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42446, first published .
Enhancing the Predictive Power of Google Trends Data Through Network Analysis: Infodemiology Study of COVID-19

Enhancing the Predictive Power of Google Trends Data Through Network Analysis: Infodemiology Study of COVID-19

Enhancing the Predictive Power of Google Trends Data Through Network Analysis: Infodemiology Study of COVID-19

Authors of this article:

Amanda MY Chu1 Author Orcid Image ;   Andy C Y Chong2 Author Orcid Image ;   Nick H T Lai3 Author Orcid Image ;   Agnes Tiwari4, 5 Author Orcid Image ;   Mike K P So3 Author Orcid Image
Article Authors Cited by (1) Tweetations (8) Metrics

Amanda MY Chu   1 , PhD ;   Andy C Y Chong   2 , MSc ;   Nick H T Lai   3 , BSc ;   Agnes Tiwari   4, 5 , PhD ;   Mike K P So   3 , PhD

1 Department of Social Sciences and Policy Studies, The Education University of Hong Kong, Hong Kong, China (Hong Kong)

2 School of Nursing, Tung Wah College, Hong Kong, China (Hong Kong)

3 Department of Information Systems, Business Statistics and Operations Management, The Hong Kong University of Science and Technology, Hong Kong, China (Hong Kong)

4 School of Nursing, Hong Kong Sanatorium & Hospital, Hong Kong, China (Hong Kong)

5 Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China (Hong Kong)

Corresponding Author:

  • Mike K P So, PhD
  • Department of Information Systems, Business Statistics and Operations Management
  • The Hong Kong University of Science and Technology
  • Clear Water Bay
  • Hong Kong
  • China (Hong Kong)
  • Phone: 852 23587726
  • Email: immkpso@ust.hk