Published on in Vol 22 , No 3 (2020) :March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13680, first published .
The Application of Internet-Based Sources for Public Health Surveillance (Infoveillance): Systematic Review

The Application of Internet-Based Sources for Public Health Surveillance (Infoveillance): Systematic Review

The Application of Internet-Based Sources for Public Health Surveillance (Infoveillance): Systematic Review

Journals

  1. Shen C, Chen A, Luo C, Zhang J, Feng B, Liao W. Using Reports of Symptoms and Diagnoses on Social Media to Predict COVID-19 Case Counts in Mainland China: Observational Infoveillance Study. Journal of Medical Internet Research 2020;22(5):e19421 View
  2. Moon H, Lee G. Evaluation of Korean-Language COVID-19–Related Medical Information on YouTube: Cross-Sectional Infodemiology Study. Journal of Medical Internet Research 2020;22(8):e20775 View
  3. Eysenbach G. How to Fight an Infodemic: The Four Pillars of Infodemic Management. Journal of Medical Internet Research 2020;22(6):e21820 View
  4. Gong X, Han Y, Hou M, Guo R. Online Public Attention During the Early Days of the COVID-19 Pandemic: Infoveillance Study Based on Baidu Index. JMIR Public Health and Surveillance 2020;6(4):e23098 View
  5. Oehmke J, Oehmke T, Singh L, Post L. Dynamic Panel Estimate–Based Health Surveillance of SARS-CoV-2 Infection Rates to Inform Public Health Policy: Model Development and Validation. Journal of Medical Internet Research 2020;22(9):e20924 View
  6. Kawchuk G, Hartvigsen J, Innes S, Simpson J, Gushaty B. The use of internet analytics by a Canadian provincial chiropractic regulator to monitor, evaluate and remediate misleading claims regarding specific health conditions, pregnancy, and COVID-19. Chiropractic & Manual Therapies 2020;28(1) View
  7. Higgins T, Wu A, Sharma D, Illing E, Rubel K, Ting J. Correlations of Online Search Engine Trends With Coronavirus Disease (COVID-19) Incidence: Infodemiology Study. JMIR Public Health and Surveillance 2020;6(2):e19702 View
  8. Jo W, Lee J, Park J, Kim Y. Online Information Exchange and Anxiety Spread in the Early Stage of the Novel Coronavirus (COVID-19) Outbreak in South Korea: Structural Topic Model and Network Analysis. Journal of Medical Internet Research 2020;22(6):e19455 View
  9. González-Alcaide G, Llorente P, Ramos-Rincón J. Systematic analysis of the scientific literature on population surveillance. Heliyon 2020:e05141 View
  10. Zhelezniak M, Ishchenko O. The coronavirus disease COVID-19’s coverage in Ukrainian and European encyclopedias. Entsykpopedychnyi Visnyk Ukrainy [The Encyclopedia Herald of Ukraine] 2020;12:44 View
  11. Lui C, Wang Z, Wang N, Milinovich G, Ding H, Mengersen K, Bambrick H, Hu W. A call for better understanding of social media in surveillance and management of noncommunicable diseases. Health Research Policy and Systems 2021;19(1) View
  12. Dalili Shoaei M, Dastani M. The Role of Twitter During the COVID-19 Crisis: A Systematic Literature Review. Acta Informatica Pragensia 2020;9(2):154 View
  13. Turk P, Tran T, Rose G, McWilliams A. A predictive internet-based model for COVID-19 hospitalization census. Scientific Reports 2021;11(1) View
  14. ESEN M. COVID-19 salgınıyla ilişkili semptomların Türkiye’den gerçekleştirilen internet arama motoru sorgularının incelenmesi. Journal of Medicine and Palliative Care 2021;2(1):7 View
  15. Lane D, Duggan J. Addressing public health and security challenges with system dynamics. Systems Research and Behavioral Science 2020;37(6):867 View
  16. Thelwall M, Kousha K, Thelwall S. Covid-19 vaccine hesitancy on English-language Twitter. El profesional de la información 2021 View
  17. El-Toukhy S. Insights From the SmokeFree.gov Initiative Regarding the Use of Smoking Cessation Digital Platforms During the COVID-19 Pandemic: Cross-sectional Trends Analysis Study. Journal of Medical Internet Research 2021;23(3):e24593 View
  18. Perra A, Preti A, De Lorenzo V, Nardi A, Carta M. Quality of information of websites dedicated to obesity: a systematic search to promote high level of information for Internet users and professionals. Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity 2021 View
  19. Garett R, Young S. Digital Public Health Surveillance Tools for Alcohol Use and HIV Risk Behaviors. AIDS and Behavior 2021 View
  20. de Souza T, de Almeida Medeiros A, Barbosa I, de Vasconcelos Torres G. Digital technologies for monitoring infected people, identifying contacts and tracking transmission chains in the corona virus disease 2019 pandemic. Medicine 2020;99(51):e23744 View
  21. Luo C, Li Y, Chen A, Tang Y, Capraro V. What triggers online help-seeking retransmission during the COVID-19 period? Empirical evidence from Chinese social media. PLOS ONE 2020;15(11):e0241465 View
  22. Li L, Novillo-Ortiz D, Azzopardi-Muscat N, Kostkova P. Digital Data Sources and Their Impact on People's Health: A Systematic Review of Systematic Reviews. Frontiers in Public Health 2021;9 View
  23. Li J, Sia C, Chen Z, Huang W. Enhancing Influenza Epidemics Forecasting Accuracy in China with Both Official and Unofficial Online News Articles, 2019–2020. International Journal of Environmental Research and Public Health 2021;18(12):6591 View
  24. Husnayain A, Chuang T, Fuad A, Su E. High variability in model performance of Google relative search volumes in spatially clustered COVID-19 areas of the USA. International Journal of Infectious Diseases 2021;109:269 View
  25. Kostkova P, Saigí-Rubió F, Eguia H, Borbolla D, Verschuuren M, Hamilton C, Azzopardi-Muscat N, Novillo-Ortiz D. Data and Digital Solutions to Support Surveillance Strategies in the Context of the COVID-19 Pandemic. Frontiers in Digital Health 2021;3 View