Published on in Vol 19, No 8 (2017): August

Identifying Potential Norovirus Epidemics in China via Internet Surveillance

Identifying Potential Norovirus Epidemics in China via Internet Surveillance

Identifying Potential Norovirus Epidemics in China via Internet Surveillance

Journals

  1. Zhao C, Yang Y, Wu S, Wu W, Xue H, An K, Zhen Q. Search trends and prediction of human brucellosis using Baidu index data from 2011 to 2018 in China. Scientific Reports 2020;10(1) View
  2. Mavragani A, Sampri A, Sypsa K, Tsagarakis K. Integrating Smart Health in the US Health Care System: Infodemiology Study of Asthma Monitoring in the Google Era. JMIR Public Health and Surveillance 2018;4(1):e24 View
  3. Huang R, Luo G, Duan Q, Zhang L, Zhang Q, Tang W, Smith M, Li J, Zou H. Using Baidu search index to monitor and predict newly diagnosed cases of HIV/AIDS, syphilis and gonorrhea in China: estimates from a vector autoregressive (VAR) model. BMJ Open 2020;10(3):e036098 View
  4. van de Belt T, van Stockum P, Engelen L, Lancee J, Schrijver R, Rodríguez-Baño J, Tacconelli E, Saris K, van Gelder M, Voss A. Social media posts and online search behaviour as early-warning system for MRSA outbreaks. Antimicrobial Resistance & Infection Control 2018;7(1) View
  5. Sips G, Dirven M, Donkervoort J, van Kolfschoten F, Schapendonk C, Phan M, Bloem A, van Leeuwen A, Trompenaars M, Koopmans M, van der Eijk A, de Graaf M, Fanoy E. Norovirus outbreak in a natural playground: A One Health approach. Zoonoses and Public Health 2020;67(4):453 View
  6. Liang F, Guan P, Wu W, Huang D. Forecasting influenza epidemics by integrating internet search queries and traditional surveillance data with the support vector machine regression model in Liaoning, from 2011 to 2015. PeerJ 2018;6:e5134 View
  7. Barros J, Duggan J, Rebholz-Schuhmann D. The Application of Internet-Based Sources for Public Health Surveillance (Infoveillance): Systematic Review. Journal of Medical Internet Research 2020;22(3):e13680 View
  8. Huang Q, Kang Y. Mathematical Modeling of COVID-19 Control and Prevention Based on Immigration Population Data in China: Model Development and Validation. JMIR Public Health and Surveillance 2020;6(2):e18638 View
  9. Wang Q, Zhang W, Cai H, Cao Y. Understanding the perceptions of Chinese women of the commercially available domestic and imported HPV vaccine: A semantic network analysis. Vaccine 2020;38(52):8334 View
  10. Zhang Y, Bambrick H, Mengersen K, Tong S, Hu W. Using internet-based query and climate data to predict climate-sensitive infectious disease risks: a systematic review of epidemiological evidence. International Journal of Biometeorology 2021;65(12):2203 View
  11. Chen W, Li J. Forecasting Teleconsultation Demand Using an Ensemble CNN Attention-Based BILSTM Model with Additional Variables. Healthcare 2021;9(8):992 View
  12. Lu W, Li J, Li J, Ai D, Song H, Duan Z, Yang J. Short-Term Impacts of Meteorology, Air Pollution, and Internet Search Data on Viral Diarrhea Infection among Children in Jilin Province, China. International Journal of Environmental Research and Public Health 2021;18(21):11615 View
  13. Chu Y, Li W, Wang S, Jia G, Zhang Y, Dai H. Increasing public concern on insomnia during the COVID-19 outbreak in China: An info-demiology study. Heliyon 2022;8(11):e11830 View
  14. Liu K, Xie Z, Xie B, Chen S, Zhang Y, Wang W, Wu Q, Cai G, Chen B. Bridging the Gap in End Tuberculosis Targets in the Elderly Population in Eastern China: Observational Study From 2015 to 2020. JMIR Public Health and Surveillance 2022;8(7):e39142 View
  15. Guo Y, Zhang L, Pang S, Cui X, Zhao X, Feng Y. Deep learning models for hepatitis E incidence prediction leveraging Baidu index. BMC Public Health 2024;24(1) View