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

Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) JMIR Theme Issue: COVID-19 Special Issue (2461) Demographics of Users, Social & Digital Divide (760) Infodemiology and Infoveillance (1369) Outbreak and Pandemic Preparedness and Management (1743) Innovative Methods in Public Health and Surveillance (336) Surveillance Systems (466) Infectious Diseases (non-STD/STI) (1592) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520) Public (e)Health, Digital Epidemiology and Public Health Informatics (750)

Published on in Vol 7, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29865, first published .
Measuring Public Concern About COVID-19 in Japanese Internet Users Through Search Queries: Infodemiological Study

Measuring Public Concern About COVID-19 in Japanese Internet Users Through Search Queries: Infodemiological Study

Measuring Public Concern About COVID-19 in Japanese Internet Users Through Search Queries: Infodemiological Study

Authors of this article:

Zhiwei Gao1 Author Orcid Image ;   Sumio Fujita2 Author Orcid Image ;   Nobuyuki Shimizu2 Author Orcid Image ;   Kongmeng Liew1 Author Orcid Image ;   Taichi Murayama1 Author Orcid Image ;   Shuntaro Yada1 Author Orcid Image ;   Shoko Wakamiya1 Author Orcid Image ;   Eiji Aramaki1 Author Orcid Image
Article Authors Cited by (3) Tweetations (9) Metrics

Journals

  1. Uehara M, Fujita S, Shimizu N, Liew K, Wakamiya S, Aramaki E. Measuring concerns about the COVID-19 vaccine among Japanese internet users through search queries. Scientific Reports 2022;12(1) View
  2. Li S, Hui E, Wen H, Liu H. Does public concern matter to the welfare cost of air pollution? Evidence from Chinese cities. Cities 2022;131:103992 View
  3. Kamba M, She W, Ferawati K, Wakamiya S, Aramaki E. Exploring the Impact of the COVID-19 Pandemic on Twitter in Japan: Qualitative Analysis of Disrupted Plans and Consequences. JMIR Infodemiology 2024;4:e49699 View