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. Using Search Trends to Analyze Web-Based Interest in Lower Urinary Tract Symptoms-Related Inquiries, Diagnoses, and Treatments in Mainland China: Infodemiology Study of Baidu Index Data. Journal of Medical Internet Research 2021;23(7):e27029 View
  8. Xu R, Brown P, Baxter N, Sawka A. Online Public Interest in Cancer During the COVID-19 Pandemic. JCO Clinical Cancer Informatics 2021;(5):695 View
  9. Wei S, Ma M, Wen X, Wu C, Zhu G, Zhou X. Online Public Attention Toward Premature Ejaculation in Mainland China: Infodemiology Study Using the Baidu Index. Journal of Medical Internet Research 2021;23(8):e30271 View
  10. Jiang S, You C, Zhang S, Chen F, Peng G, Liu J, Xie D, Li Y, Guo X. Using search trends to analyze web-based users’ behavior profiles connected with COVID-19 in mainland China: infodemiology study based on hot words and Baidu Index. PeerJ 2022;10:e14343 View
  11. Jiang L, Ma Q, Wei S, Che G. Online Public Attention of COVID-19 Vaccination in Mainland China. DIGITAL HEALTH 2022;8:205520762110704 View
  12. Zhang Q, Yu Y, He J, Yao X, He Y, Wu J, Xu C, Ye C. Did the COVID-19 pandemic impact urticaria information-seeking behavior in China? A retrospective longitudinal study. Frontiers in Public Health 2023;11 View
  13. Chen S, Wu S. Deep Q-networks with web-based survey data for simulating lung cancer intervention prediction and assessment in the elderly: a quantitative study. BMC Medical Informatics and Decision Making 2022;22(1) View
  14. Cao M, Guan T, Han X, Shen B, Chao B, Liu Y. Impact of a health campaign on Chinese public awareness of stroke: evidence from internet search data. BMJ Open 2021;11(12):e054463 View
  15. Khene Z, Guérin S, Khene F, Pradère B, Roumiguié M, Mathieu R, Pignot G, Massard C, Neuzillet Y, Ploussard G, Bigot P, De la taille A, Rouprêt M, Bensalah K. Online Public Interest in Urological Cancers During the COVID-19 Pandemic: What Can “Dr. Google” Teach Us?. European Urology Open Science 2022;37:73 View
  16. Zheng Y, Niu X, Wei Q, Li Y, Li L, Zhao J. Familial Esophageal Cancer in Taihang Mountain, China: An Era of Personalized Medicine Based on Family and Population Perspective. Cell Transplantation 2022;31:096368972211291 View
  17. Xiong Y, Pang M, Du Y, Yu X, Yuan J, Liu W, Wang L, Liu X. The LINC01929/miR-6875-5p/ADAMTS12 Axis in the ceRNA Network Regulates the Development of Advanced Bladder Cancer. Frontiers in Oncology 2022;12 View
  18. Chen M, Zhong P, Hong M, Tan J, Yu X, Huang H, Ouyang J, Lin X, Chen P. Applying low coverage whole genome sequencing to detect malignant ovarian mass. Journal of Translational Medicine 2021;19(1) View
  19. Wang Y, Gao Z, Lv H, Xu Y. Online public attention toward allergic rhinitis in Wuhan, China: Infodemiology study using Baidu index and meteorological data. Frontiers in Public Health 2022;10 View
  20. Kamiński M, Skrzypczak P, Staszewski R, Roszak M. Effects of the COVID-19 Pandemic on the Interest of Google Queries in Cancer Screening and Cancers: A Retrospective Study. Cancers 2023;15(3):617 View
  21. Gupta R, Mohanty V, Balappanavar A, Chahar P, Rijhwani K, Bhatia S. Infodemiology for oral health and disease: A scoping review. Health Information & Libraries Journal 2022;39(3):207 View
  22. Dai T, Zhu S, Han F, Ye M, Xiang W, Tan W, Pei X, Liao S, Xie Y. Benchmarking Machine Learning Algorithms for Diagnosis of Renal Cell Carcinoma. Iranian Journal of Radiology 2022;19(3) View
  23. Li X, Tang K. The Effects of Online Health Information–Seeking Behavior on Sexually Transmitted Disease in China: Infodemiology Study of the Internet Search Queries. Journal of Medical Internet Research 2023;25:e43046 View
  24. Jiang L, Wei S, Sam Saji A, Li J, Che G. An Analysis of Public Perception and Concern Toward Electronic Cigarettes: Exploring Attitudes and Profiles. Cureus 2023 View
  25. Wall N, Fuller R, Morcos A, De Leon M. Pancreatic Cancer Health Disparity: Pharmacologic Anthropology. Cancers 2023;15(20):5070 View
  26. Li Z, Fan Y, Su H, Xu Z, Ho H, Zheng H, Tao J, Zhang Y, Hu K, Hossain M, Zhao Q, Huang C, Cheng J. The 2022 Summer record-breaking heatwave and health information-seeking behaviours: an infodemiology study in Mainland China. BMJ Global Health 2023;8(9):e013231 View
  27. Yu Y, Zhang Q, Yao X, Wu J, He J, He Y, Jiang H, Lu D, Ye C. Online public concern about allergic rhinitis and its association with COVID-19 and air quality in China: an informative epidemiological study using Baidu index. BMC Public Health 2024;24(1) View
  28. Da C, Duan Y, Ji Z, Chen J, Xia H, Weng Y, Zhou T, Yuan C, Cai T. Assessing the needs of patients with breast cancer and their families across various treatment phases using a Latent Dirichlet Allocation model: a text-mining approach to online health communities. Supportive Care in Cancer 2024;32(5) View
  29. Wecker H, Maier D, Ziehfreund S, Fox F, Erhard I, Vehreschild J, Zink A. Cancer incidence and digital information seeking in Germany: a retrospective observational study. Scientific Reports 2024;14(1) View