Published on in Vol 18, No 7 (2016): July

Estimating Influenza Outbreaks Using Both Search Engine Query Data and Social Media Data in South Korea

Estimating Influenza Outbreaks Using Both Search Engine Query Data and Social Media Data in South Korea

Estimating Influenza Outbreaks Using Both Search Engine Query Data and Social Media Data in South Korea

Journals

  1. Chang Y, Chiang W, Wang W, Lin C, Hung L, Tsai Y, Chen Y. Assessing Epidemic Diseases and Public Opinion through Popular Search Behavior Using Non-English Language Google Trends (Preprint). JMIR Public Health and Surveillance 2018 View
  2. Masri S, Jia J, Li C, Zhou G, Lee M, Yan G, Wu J. Use of Twitter data to improve Zika virus surveillance in the United States during the 2016 epidemic. BMC Public Health 2019;19(1) View
  3. Cheng H, Wu Y, Lin M, Liu Y, Tsai Y, Wu J, Pan K, Ke C, Chen C, Liu D, Lin I, Chuang J. Applying Machine Learning Models with An Ensemble Approach for Accurate Real-Time Influenza Forecasting in Taiwan: Development and Validation Study. Journal of Medical Internet Research 2020;22(8):e15394 View
  4. Joshi A, Karimi S, Sparks R, Paris C, Macintyre C. Survey of Text-based Epidemic Intelligence. ACM Computing Surveys 2020;52(6):1 View
  5. Joshi A, Sparks R, McHugh J, Karimi S, Paris C, MacIntyre C. Harnessing Tweets for Early Detection of an Acute Disease Event. Epidemiology 2020;31(1):90 View
  6. Zeraatkar K, Ahmadi M. Trends of infodemiology studies: a scoping review. Health Information & Libraries Journal 2018;35(2):91 View
  7. Zhang Z, Zheng X, Zeng D, Leischow S. Tracking Dabbing Using Search Query Surveillance: A Case Study in the United States. Journal of Medical Internet Research 2016;18(9):e252 View
  8. Pesälä S, Virtanen M, Sane J, Jousimaa J, Lyytikäinen O, Murtopuro S, Mustonen P, Kaila M, Helve O. Health Care Professionals’ Evidence-Based Medicine Internet Searches Closely Mimic the Known Seasonal Variation of Lyme Borreliosis: A Register-Based Study. JMIR Public Health and Surveillance 2017;3(2):e19 View
  9. Nguyen Q, Li D, Meng H, Kath S, Nsoesie E, Li F, Wen M. Building a National Neighborhood Dataset From Geotagged Twitter Data for Indicators of Happiness, Diet, and Physical Activity. JMIR Public Health and Surveillance 2016;2(2):e158 View
  10. Menachemi N, Rahurkar S, Rahurkar M. Using Web-Based Search Data to Study the Public’s Reactions to Societal Events: The Case of the Sandy Hook Shooting. JMIR Public Health and Surveillance 2017;3(1):e12 View
  11. Samaras L, García-Barriocanal E, Sicilia M. Syndromic Surveillance Models Using Web Data: The Case of Influenza in Greece and Italy Using Google Trends. JMIR Public Health and Surveillance 2017;3(4):e90 View
  12. Carpenter J, Groves D, Chen C, Otte J, Miller W. Menopause and big data: Word Adjacency Graph modeling of menopause-related ChaCha data. Menopause 2017;24(7):783 View
  13. Cousins H, Cousins C, Harris A, Pasquale L. Regional Infoveillance of COVID-19 Case Rates: Analysis of Search-Engine Query Patterns. Journal of Medical Internet Research 2020;22(7):e19483 View
  14. 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
  15. Vuong Q, Ho M, Vuong T, La V, Ho M, Nghiem K, Tran B, Giang H, Giang T, Latkin C, Nguyen H, Ho C, Ho R. Artificial Intelligence vs. Natural Stupidity: Evaluating AI readiness for the Vietnamese Medical Information System. Journal of Clinical Medicine 2019;8(2):168 View
  16. Chen Y, Zhang Y, Xu Z, Wang X, Lu J, Hu W. Avian Influenza A (H7N9) and related Internet search query data in China. Scientific Reports 2019;9(1) View
  17. Raghupathi V, Zhou Y, Raghupathi W. Exploring Big Data Analytic Approaches to Cancer Blog Text Analysis. International Journal of Healthcare Information Systems and Informatics 2019;14(4):1 View
  18. Alessa A, Faezipour M. Flu Outbreak Prediction Using Twitter Posts Classification and Linear Regression With Historical Centers for Disease Control and Prevention Reports: Prediction Framework Study. JMIR Public Health and Surveillance 2019;5(2):e12383 View
  19. Choi S, Ahn I, Zhang J. Forecasting seasonal influenza-like illness in South Korea after 2 and 30 weeks using Google Trends and influenza data from Argentina. PLOS ONE 2020;15(7):e0233855 View
  20. Kagashe I, Yan Z, Suheryani I. Enhancing Seasonal Influenza Surveillance: Topic Analysis of Widely Used Medicinal Drugs Using Twitter Data. Journal of Medical Internet Research 2017;19(9):e315 View
  21. Ahmad A, Murad H. The Impact of Social Media on Panic During the COVID-19 Pandemic in Iraqi Kurdistan: Online Questionnaire Study. Journal of Medical Internet Research 2020;22(5):e19556 View
  22. Kaveh-Yazdy F, Zareh-Bidoki A. Search engines, news wires and digital epidemiology: Presumptions and facts. International Journal of Medical Informatics 2018;115:53 View
  23. 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
  24. Huang H, Peng Z, Wu H, Xie Q. A big data analysis on the five dimensions of emergency management information in the early stage of COVID-19 in China. Journal of Chinese Governance 2020;5(2):213 View
  25. Agarwal V, Zhang L, Zhu J, Fang S, Cheng T, Hong C, Shah N. Impact of Predicting Health Care Utilization Via Web Search Behavior: A Data-Driven Analysis. Journal of Medical Internet Research 2016;18(9):e251 View
  26. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206 View
  27. Yan S, Chughtai A, Macintyre C. Utility and potential of rapid epidemic intelligence from internet-based sources. International Journal of Infectious Diseases 2017;63:77 View
  28. Kim M, Yune S, Chang S, Jung Y, Sa S, Han H. The Fever Coach Mobile App for Participatory Influenza Surveillance in Children: Usability Study. JMIR mHealth and uHealth 2019;7(10):e14276 View
  29. Venkatesh U, Gandhi P. Prediction of COVID-19 Outbreaks Using Google Trends in India: A Retrospective Analysis. Healthcare Informatics Research 2020;26(3):175 View
  30. Chang Y, Chiang W, Wang W, Lin C, Hung L, Tsai Y, Suen J, Chen Y. Google Trends-based non-English language query data and epidemic diseases: a cross-sectional study of the popular search behaviour in Taiwan. BMJ Open 2020;10(7):e034156 View
  31. Nguyen Q, Brunisholz K, Yu W, McCullough M, Hanson H, Litchman M, Li F, Wan Y, VanDerslice J, Wen M, Smith K. Twitter-derived neighborhood characteristics associated with obesity and diabetes. Scientific Reports 2017;7(1) View
  32. Chen S, Liu X, Wu Y, Xu G, Zhang X, Mei S, Zhang Z, O'Meara M, O'Gara M, Tan X, Li L. The application of meteorological data and search index data in improving the prediction of HFMD: A study of two cities in Guangdong Province, China. Science of The Total Environment 2019;652:1013 View
  33. Park S, Suh Y, Kim J, Kwon J. Analysis for internet health counseling about precocious puberty using text mining and topic modeling. Korean Journal of Health Education and Promotion 2020;37(3):71 View
  34. Zhu G, Li L, Zheng Y, Zhang X, Zou H. Forecasting Influenza Based on Autoregressive Moving Average and Holt-Winters Exponential Smoothing Models. Journal of Advanced Computational Intelligence and Intelligent Informatics 2021;25(1):138 View
  35. Corsi A, de Souza F, Pagani R, Kovaleski J. Big data analytics as a tool for fighting pandemics: a systematic review of literature. Journal of Ambient Intelligence and Humanized Computing 2020 View
  36. Radwan E, Radwan A, Radwan W. The role of social media in spreading panic among primary and secondary school students during the COVID-19 pandemic: An online questionnaire study from the Gaza Strip, Palestine. Heliyon 2020;6(12):e05807 View

Books/Policy Documents

  1. Lazar J, Feng J, Hochheiser H. Research Methods in Human Computer Interaction. View
  2. Samaras L, García-Barriocanal E, Sicilia M. Innovation in Health Informatics. View
  3. Nawaz M, Mustafa R, Lali M. Applying Big Data Analytics in Bioinformatics and Medicine. View
  4. Tabassum M, Perumal S, Mohanan S, Suresh P, Cheriyan S, Hassan W. Design Methodologies and Tools for 5G Network Development and Application. View