Published on in Vol 21, No 1 (2019): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10677, first published .
Association Between Cancer Incidence and Mortality in Web-Based Data in China: Infodemiology Study

Association Between Cancer Incidence and Mortality in Web-Based Data in China: Infodemiology Study

Association Between Cancer Incidence and Mortality in Web-Based Data in China: Infodemiology Study

Journals

  1. Safarishahrbijari A, Osgood N. Social Media Surveillance for Outbreak Projection via Transmission Models: Longitudinal Observational Study. JMIR Public Health and Surveillance 2019;5(2):e11615 View
  2. Zepecki A, Guendelman S, DeNero J, Prata N. Using Application Programming Interfaces to Access Google Data for Health Research: Protocol for a Methodological Framework. JMIR Research Protocols 2020;9(7):e16543 View
  3. Mavragani A, Ochoa G. Google Trends in Infodemiology and Infoveillance: Methodology Framework. JMIR Public Health and Surveillance 2019;5(2):e13439 View
  4. Xu C, Yang H, Sun L, Cao X, Hou Y, Cai Q, Jia P, Wang Y. Detecting Lung Cancer Trends by Leveraging Real-World and Internet-Based Data: Infodemiology Study. Journal of Medical Internet Research 2020;22(3):e16184 View
  5. Xu C, Cao Z, Yang H, Gao Y, Sun L, Hou Y, Cao X, Jia P, Wang Y. Leveraging Internet Search Data to Improve the Prediction and Prevention of Noncommunicable Diseases: Retrospective Observational Study. Journal of Medical Internet Research 2020;22(11):e18998 View
  6. BAYIN DONAR G. The Relationship Between Cancer Incidence and Awareness Activities and Google Online Search Volume in Turkey: A Retrospective Research. Acibadem Universitesi Saglik Bilimleri Dergisi 2021;12(2) View
  7. Wei S, Ma M, Wu C, Yu B, Jiang L, Wen X, Fu F, Shi M. Search trends of online interest in LUTS enquiry, diagnosis and treatment in mainland China (Preprint). Journal of Medical Internet Research 2021 View