This paper is in the following e-collection/theme issue:

Digital Health Reviews (951) Infodemiology and Infoveillance (1128) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (924) Infoveillance and Social Listening (153)

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

Authors of this article:

Joana M Barros 1, 2 Author Orcid Image ;   Jim Duggan 2 Author Orcid Image ;   Dietrich Rebholz-Schuhmann 3 Author Orcid Image
Article Authors Cited by (46) Tweetations (28) Metrics

Journals

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  3. Eysenbach G. How to Fight an Infodemic: The Four Pillars of Infodemic Management. Journal of Medical Internet Research 2020;22(6):e21820 View
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  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 2022;27(1):1 View
  19. Garett R, Young S. Digital Public Health Surveillance Tools for Alcohol Use and HIV Risk Behaviors. AIDS and Behavior 2021;25(S3):333 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
  26. Shen J, Sun R, Xu J, Dai Y, Li W, Liu H, Fang X. Patterns and predictors of adolescent life change during the COVID-19 pandemic: a person-centered approach. Current Psychology 2023;42(3):2514 View
  27. Alluhidan M, Alsukait R, Alghaith T, Saber R, Alamri A, Al-Muhsen S, Alhowaitan F, Alqarni A, Herbst C, Alazemi N, Hersi A. Effectiveness of using e-government platform “Absher” as a tool for noncommunicable diseases survey in Saudi Arabia 2019–2020: A cross-sectional study. Frontiers in Public Health 2022;10 View
  28. AlKnawy B, Kozlakidis Z, Tarkoma S, Bates D, Honkela A, Crooks G, Rhee K, McKillop M. Digital public health leadership in the global fight for health security. BMJ Global Health 2023;8(2):e011454 View
  29. Schober A, Tizek L, Johansson E, Ekebom A, Wallin J, Buters J, Schneider S, Zink A. Monitoring disease activity of pollen allergies: What crowdsourced data are telling us. World Allergy Organization Journal 2022;15(12):100718 View
  30. Nann D, Walker M, Frauenfeld L, Ferenci T, Sulyok M. Forecasting the future number of pertussis cases using data from Google Trends. Heliyon 2021;7(11):e08386 View
  31. 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
  32. Walsh J, Dwumfour C, Cave J, Griffiths F. Spontaneously generated online patient experience data - how and why is it being used in health research: an umbrella scoping review. BMC Medical Research Methodology 2022;22(1) View
  33. Boukobza A, Burgun A, Roudier B, Tsopra R. Deep Neural Networks for Simultaneously Capturing Public Topics and Sentiments During a Pandemic: Application on a COVID-19 Tweet Data Set. JMIR Medical Informatics 2022;10(5):e34306 View
  34. Wang J, Young S, Lim M. Online personal ads and its implication for sexual health risks: an observational analysis of posts. Sexual Health 2022;19(2):122 View
  35. Galbraith E, Li J, Rio-Vilas V, Convertino M. In.To. COVID-19 socio-epidemiological co-causality. Scientific Reports 2022;12(1) View
  36. Owusu P, Reininghaus U, Koppe G, Dankwa-Mullan I, Bärnighausen T, Kamperman A. Artificial intelligence applications in social media for depression screening: A systematic review protocol for content validity processes. PLOS ONE 2021;16(11):e0259499 View
  37. Chen X, Cheng G, Wang F, Tao X, Xie H, Xu L. Machine and cognitive intelligence for human health: systematic review. Brain Informatics 2022;9(1) View
  38. Dey V, Krasniak P, Nguyen M, Lee C, Ning X. A Pipeline to Understand Emerging Illness Via Social Media Data Analysis: Case Study on Breast Implant Illness. JMIR Medical Informatics 2021;9(11):e29768 View
  39. Husnayain A, Shim E, Fuad A, Su E. Predicting New Daily COVID-19 Cases and Deaths Using Search Engine Query Data in South Korea From 2020 to 2021: Infodemiology Study. Journal of Medical Internet Research 2021;23(12):e34178 View
  40. Chen S, Yin S, Guo Y, Ge Y, Janies D, Dulin M, Brown C, Robinson P, Zhang D. Content and sentiment surveillance (CSI): A critical component for modeling modern epidemics. Frontiers in Public Health 2023;11 View
  41. Pajo A, Jamora R, Espiritu A. Online Health Information-Seeking Behavior for Movement Disorders: An Infodemiologic Study. SSRN Electronic Journal 2022 View
  42. Skovgaard L, Grundtvig A. Who tweets what about personalised medicine? Promises and concerns from Twitter discussions in Denmark. DIGITAL HEALTH 2023;9:205520762311698 View
  43. Li J, He Z, Zhang M, Ma W, Jin Y, Zhang L, Zhang S, Liu Y, Ma S. Estimating Rare Disease Incidences With Large-scale Internet Search Data: Development and Evaluation of a Two-step Machine Learning Method. JMIR Infodemiology 2023;3:e42721 View
  44. Wang Z, He J, Jin B, Zhang L, Han C, Wang M, Wang H, An S, Zhao M, Zhen Q, Tiejun S, Zhang X. Using Baidu Index Data to Improve Chickenpox Surveillance in Yunnan, China: Infodemiology Study. Journal of Medical Internet Research 2023;25:e44186 View

Books/Policy Documents

  1. Sapkota B, Maskey S, Shrestha R, Shrestha S. Encyclopedia of Evidence in Pharmaceutical Public Health and Health Services Research in Pharmacy. View