Published on in Vol 22, No 6 (2020): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18181, first published .
Exploring Public Awareness of Overwork Prevention With Big Data From Google Trends: Retrospective Analysis

Exploring Public Awareness of Overwork Prevention With Big Data From Google Trends: Retrospective Analysis

Exploring Public Awareness of Overwork Prevention With Big Data From Google Trends: Retrospective Analysis

Authors of this article:

Ro-Ting Lin1 Author Orcid Image ;   Yawen Cheng2 Author Orcid Image ;   Yan-Cheng Jiang1 Author Orcid Image

Journals

  1. Tu B, Wei L, Jia Y, Qian J. Using Baidu search values to monitor and predict the confirmed cases of COVID-19 in China: – evidence from Baidu index. BMC Infectious Diseases 2021;21(1) View
  2. Braunack-Mayer A, Fabrianesi B, Street J, O'Shaughnessy P, Carter S, Engelen L, Carolan L, Bosward R, Roder D, Sproston K. Sharing Government Health Data With the Private Sector: Community Attitudes Survey. Journal of Medical Internet Research 2021;23(10):e24200 View
  3. Ishimaru T, Yoshida T, Fujino Y. Correlation Between Voluntary HIV Testing and Public Awareness of HIV Using Google Trends in Japan. Asia Pacific Journal of Public Health 2022;34(1):113 View
  4. Huemer M, Jahn-Kuch D, Hofmann G, Andritsch E, Farkas C, Schaupp W, Masel E, Jost P, Pichler M. Trends and Patterns in the Public Awareness of Palliative Care, Euthanasia, and End-of-Life Decisions in 3 Central European Countries Using Big Data Analysis From Google: Retrospective Analysis. Journal of Medical Internet Research 2021;23(9):e28635 View
  5. Karatas M, Eriskin L, Deveci M, Pamucar D, Garg H. Big Data for Healthcare Industry 4.0: Applications, challenges and future perspectives. Expert Systems with Applications 2022;200:116912 View
  6. Hagiya H, Koyama T, Otsuka F. Impact of the cervical cancer awareness months on public interest in Japan: A Google Trends analysis, 2012–2021. Scientific Reports 2022;12(1) View
  7. Fang Z, Chen C. A collaborative trend prediction method using the crowdsourced wisdom of web search engines. Data Technologies and Applications 2022;56(5):741 View