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

Infodemiology and Infoveillance (1349)

Published on in Vol 15, No 7 (2013): July

Scoping Review on Search Queries and Social Media for Disease Surveillance: A Chronology of Innovation

Scoping Review on Search Queries and Social Media for Disease Surveillance: A Chronology of Innovation

Scoping Review on Search Queries and Social Media for Disease Surveillance: A Chronology of Innovation

Authors of this article:

Theresa Marie Bernardo1 Author Orcid Image ;   Andrijana Rajic2, 3, 4 ;   Ian Young2, 3 ;   Katie Robiadek5 ;   Mai T Pham2, 3 Author Orcid Image ;   Julie A Funk1
Article Authors Cited by (123) Tweetations (34) Metrics

Journals

  1. 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
  2. Stockwell M, Reed C, Vargas C, Camargo S, Garretson A, Alba L, LaRussa P, Finelli L, Larson E, Saiman L. MoSAIC: Mobile Surveillance for Acute Respiratory Infections and Influenza-Like Illness in the Community. American Journal of Epidemiology 2014;180(12):1196 View
  3. Kogan N, Bolon I, Ray N, Alcoba G, Fernandez-Marquez J, Müller M, Mohanty S, Ruiz de Castañeda R. Wet Markets and Food Safety: TripAdvisor for Improved Global Digital Surveillance. JMIR Public Health and Surveillance 2019;5(2):e11477 View
  4. Wang H, Chen D, Yu H, Chen Y. Forecasting the Incidence of Dementia and Dementia-Related Outpatient Visits With Google Trends: Evidence From Taiwan. Journal of Medical Internet Research 2015;17(11):e264 View
  5. Adawi M, Bragazzi N, Watad A, Sharif K, Amital H, Mahroum N. Discrepancies Between Classic and Digital Epidemiology in Searching for the Mayaro Virus: Preliminary Qualitative and Quantitative Analysis of Google Trends. JMIR Public Health and Surveillance 2017;3(4):e93 View
  6. Kamiński M, Łoniewski I, Marlicz W. “Dr. Google, I am in Pain”—Global Internet Searches Associated with Pain: A Retrospective Analysis of Google Trends Data. International Journal of Environmental Research and Public Health 2020;17(3):954 View
  7. Bousquet J, Schunemann H, Fonseca J, Samolinski B, Bachert C, Canonica G, Casale T, Cruz A, Demoly P, Hellings P, Valiulis A, Wickman M, Zuberbier T, Bosnic-Anticevitch S, Bedbrook A, Bergmann K, Caimmi D, Dahl R, Fokkens W, Grisle I, Lodrup Carlsen K, Mullol J, Muraro A, Palkonen S, Papadopoulos N, Passalacqua G, Ryan D, Valovirta E, Yorgancioglu A, Aberer W, Agache I, Adachi M, Akdis C, Akdis M, Annesi-Maesano I, Ansotegui I, Anto J, Arnavielhe S, Arshad H, Baiardini I, Baigenzhin A, Barbara C, Bateman E, Beghé B, Bel E, Ben Kheder A, Bennoor K, Benson M, Bewick M, Bieber T, Bindslev-Jensen C, Bjermer L, Blain H, Boner A, Boulet L, Bonini M, Bonini S, Bosse I, Bourret R, Bousquet P, Braido F, Briggs A, Brightling C, Brozek J, Buhl R, Burney P, Bush A, Caballero-Fonseca F, Calderon M, Camargos P, Camuzat T, Carlsen K, Carr W, Cepeda Sarabia A, Chavannes N, Chatzi L, Chen Y, Chiron R, Chkhartishvili E, Chuchalin A, Ciprandi G, Cirule I, Correia de Sousa J, Cox L, Crooks G, Costa D, Custovic A, Dahlen S, Darsow U, De Carlo G, De Blay F, Dedeu T, Deleanu D, Denburg J, Devillier P, Didier A, Dinh-Xuan A, Dokic D, Douagui H, Dray G, Dubakiene R, Durham S, Dykewicz M, El-Gamal Y, Emuzyte R, Fink Wagner A, Fletcher M, Fiocchi A, Forastiere F, Gamkrelidze A, Gemicioğlu B, Gereda J, González Diaz S, Gotua M, Grouse L, Guzmán M, Haahtela T, Hellquist-Dahl B, Heinrich J, Horak F, Hourihane J, Howarth P, Humbert M, Hyland M, Ivancevich J, Jares E, Johnston S, Joos G, Jonquet O, Jung K, Just J, Kaidashev I, Kalayci O, Kalyoncu A, Keil T, Keith P, Khaltaev N, Klimek L, Koffi N'Goran B, Kolek V, Koppelman G, Kowalski M, Kull I, Kuna P, Kvedariene V, Lambrecht B, Lau S, Larenas-Linnemann D, Laune D, Le L, Lieberman P, Lipworth B, Li J, Louis R, Magard Y, Magnan A, Mahboub B, Majer I, Makela M, Manning P, De Manuel Keenoy E, Marshall G, Masjedi M, Maurer M, Mavale-Manuel S, Melén E, Melo-Gomes E, Meltzer E, Merk H, Miculinic N, Mihaltan F, Milenkovic B, Mohammad Y, Molimard M, Momas I, Montilla-Santana A, Morais-Almeida M, Mösges R, Namazova-Baranova L, Naclerio R, Neou A, Neffen H, Nekam K, Niggemann B, Nyembue T, O'Hehir R, Ohta K, Okamoto Y, Okubo K, Ouedraogo S, Paggiaro P, Pali-Schöll I, Palmer S, Panzner P, Papi A, Park H, Pavord I, Pawankar R, Pfaar O, Picard R, Pigearias B, Pin I, Plavec D, Pohl W, Popov T, Portejoie F, Postma D, Potter P, Price D, Rabe K, Raciborski F, Radier Pontal F, Repka-Ramirez S, Robalo-Cordeiro C, Rolland C, Rosado-Pinto J, Reitamo S, Rodenas F, Roman Rodriguez M, Romano A, Rosario N, Rosenwasser L, Rottem M, Sanchez-Borges M, Scadding G, Serrano E, Schmid-Grendelmeier P, Sheikh A, Simons F, Sisul J, Skrindo I, Smit H, Solé D, Sooronbaev T, Spranger O, Stelmach R, Strandberg T, Sunyer J, Thijs C, Todo-Bom A, Triggiani M, Valenta R, Valero A, van Hage M, Vandenplas O, Vezzani G, Vichyanond P, Viegi G, Wagenmann M, Walker S, Wang D, Wahn U, Williams D, Wright J, Yawn B, Yiallouros P, Yusuf O, Zar H, Zernotti M, Zhang L, Zhong N, Zidarn M, Mercier J. MACVIA-ARIA Sentinel NetworK for allergic rhinitis (MASK-rhinitis): the new generation guideline implementation. Allergy 2015;70(11):1372 View
  8. Drylie-Carey L, Sánchez-Castillo S, Galán-Cubillo E. European leaders unmasked: Covid-19 communication strategy through Twitter. El profesional de la información 2020 View
  9. Shin S, Seo D, An J, Kwak H, Kim S, Gwack J, Jo M. High correlation of Middle East respiratory syndrome spread with Google search and Twitter trends in Korea. Scientific Reports 2016;6(1) View
  10. Domnich A, Panatto D, Signori A, Lai P, Gasparini R, Amicizia D, Olson D. Age-Related Differences in the Accuracy of Web Query-Based Predictions of Influenza-Like Illness. PLOS ONE 2015;10(5):e0127754 View
  11. Noll-Hussong M. Whiplash Syndrome Reloaded: Digital Echoes of Whiplash Syndrome in the European Internet Search Engine Context. JMIR Public Health and Surveillance 2017;3(1):e15 View
  12. de Albuquerque J, Herfort B, Brenning A, Zipf A. A geographic approach for combining social media and authoritative data towards identifying useful information for disaster management. International Journal of Geographical Information Science 2015;29(4):667 View
  13. Seo D, Jo M, Sohn C, Shin S, Lee J, Yu M, Kim W, Lim K, Lee S. Cumulative Query Method for Influenza Surveillance Using Search Engine Data. Journal of Medical Internet Research 2014;16(12):e289 View
  14. Ling R, Lee J. Disease Monitoring and Health Campaign Evaluation Using Google Search Activities for HIV and AIDS, Stroke, Colorectal Cancer, and Marijuana Use in Canada: A Retrospective Observational Study. JMIR Public Health and Surveillance 2016;2(2):e156 View
  15. Sharpe J, Hopkins R, Cook R, Striley C. Evaluating Google, Twitter, and Wikipedia as Tools for Influenza Surveillance Using Bayesian Change Point Analysis: A Comparative Analysis. JMIR Public Health and Surveillance 2016;2(2):e161 View
  16. Liu K, Li L, Jiang T, Chen B, Jiang Z, Wang Z, Chen Y, Jiang J, Gu H. Chinese Public Attention to the Outbreak of Ebola in West Africa: Evidence from the Online Big Data Platform. International Journal of Environmental Research and Public Health 2016;13(8):780 View
  17. Rizgalla J, Shinn A, Ferguson H, Paladini G, Jayasuriya N, Bron J. A novel use of social media to evaluate the occurrence of skin lesions affecting wild dusky grouper, Epinephelus marginatus (Lowe, 1834), in Libyan coastal waters. Journal of Fish Diseases 2017;40(5):609 View
  18. Zhou H, Yin H, Zheng H, Li Y. A survey on multi-modal social event detection. Knowledge-Based Systems 2020;195:105695 View
  19. Hossain L, Hassan M, Wigand R. Resilient Information Networks for Coordination of Foodborne Disease Outbreaks. Disaster Medicine and Public Health Preparedness 2015;9(2):186 View
  20. Lapinski M, Funk J, Moccia L. Recommendations for the role of social science research in One Health. Social Science & Medicine 2015;129:51 View
  21. Kamiński M, Łoniewski I, Misera A, Marlicz W. Heartburn-Related Internet Searches and Trends of Interest across Six Western Countries: A Four-Year Retrospective Analysis Using Google Ads Keyword Planner. International Journal of Environmental Research and Public Health 2019;16(23):4591 View
  22. Woo H, Cho Y, Shim E, Lee J, Lee C, Kim S. Estimating Influenza Outbreaks Using Both Search Engine Query Data and Social Media Data in South Korea. Journal of Medical Internet Research 2016;18(7):e177 View
  23. Zipper S. Agricultural Research Using Social Media Data. Agronomy Journal 2018;110(1):349 View
  24. Tse C, Bridges S, Srinivasan D, Cheng B. Social Media in Adolescent Health Literacy Education: A Pilot Study. JMIR Research Protocols 2015;4(1):e18 View
  25. 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
  26. Vijaykumar S, Nowak G, Himelboim I, Jin Y. Virtual Zika transmission after the first U.S. case: who said what and how it spread on Twitter. American Journal of Infection Control 2018;46(5):549 View
  27. Charles-Smith L, Reynolds T, Cameron M, Conway M, Lau E, Olsen J, Pavlin J, Shigematsu M, Streichert L, Suda K, Corley C, Braunstein L. Using Social Media for Actionable Disease Surveillance and Outbreak Management: A Systematic Literature Review. PLOS ONE 2015;10(10):e0139701 View
  28. Zeraatkar K, Ahmadi M. Trends of infodemiology studies: a scoping review. Health Information & Libraries Journal 2018;35(2):91 View
  29. Shah G, Leider J, Luo H, Kaur R. Interoperability of Information Systems Managed and Used by the Local Health Departments. Journal of Public Health Management and Practice 2016;22(Supplement 6):S34 View
  30. Zhou L, Zhang D, Yang C, Wang Y. Harnessing social media for health information management. Electronic Commerce Research and Applications 2018;27:139 View
  31. Valleron A. Data Science Priorities for a University Hospital–Based Institute of Infectious Diseases: A Viewpoint. Clinical Infectious Diseases 2017;65(suppl_1):S84 View
  32. HOSSAIN L, KAM D, KONG F, WIGAND R, BOSSOMAIER T. Social media in Ebola outbreak. Epidemiology and Infection 2016;144(10):2136 View
  33. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206 View
  34. Kazemi D, Borsari B, Levine M, Dooley B. Systematic review of surveillance by social media platforms for illicit drug use. Journal of Public Health 2017;39(4):763 View
  35. Sofiev M, Palamarchuk Y, Bédard A, Basagana X, Anto J, Kouznetsov R, Urzua R, Bergmann K, Fonseca J, De Vries G, Van Erd M, Annesi-Maesano I, Laune D, Pépin J, Jullian-Desayes I, Zeng S, Czarlewski W, Bousquet J. A demonstration project of Global Alliance against Chronic Respiratory Diseases: Prediction of interactions between air pollution and allergen exposure—the Mobile Airways Sentinel NetworK-Impact of air POLLution on Asthma and Rhinitis approach. Chinese Medical Journal 2020;133(13):1561 View
  36. Zheluk A, Quinn C, Hercz D, Gillespie J. Internet Search Patterns of Human Immunodeficiency Virus and the Digital Divide in the Russian Federation: Infoveillance Study. Journal of Medical Internet Research 2013;15(11):e256 View
  37. Tourassi G, Yoon H, Xu S. A novel web informatics approach for automated surveillance of cancer mortality trends. Journal of Biomedical Informatics 2016;61:110 View
  38. Jadhav A, Andrews D, Fiksdal A, Kumbamu A, McCormick J, Misitano A, Nelsen L, Ryu E, Sheth A, Wu S, Pathak J. Comparative Analysis of Online Health Queries Originating From Personal Computers and Smart Devices on a Consumer Health Information Portal. Journal of Medical Internet Research 2014;16(7):e160 View
  39. Blouin-Genest G, Miller A. The politics of participatory epidemiology: Technologies, social media and influenza surveillance in the US. Health Policy and Technology 2017;6(2):192 View
  40. Overbey K, Jaykus L, Chapman B. A Systematic Review of the Use of Social Media for Food Safety Risk Communication. Journal of Food Protection 2017;80(9):1537 View
  41. Nazir M, Hussain I, Tian J, Akram S, Mangenda Tshiaba S, Mushtaq S, Shad M. A Multidimensional Model of Public Health Approaches Against COVID-19. International Journal of Environmental Research and Public Health 2020;17(11):3780 View
  42. Vasconcellos-Silva P, Griep R, Souza M. Padrões de acessos a informações sobre proteção antiUV durante os verões brasileiros: haveria um “efeito verão”?. Ciência & Saúde Coletiva 2015;20(8):2533 View
  43. 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
  44. Oldroyd R, Morris M, Birkin M. Identifying Methods for Monitoring Foodborne Illness: Review of Existing Public Health Surveillance Techniques. JMIR Public Health and Surveillance 2018;4(2):e57 View
  45. Reuter K, Angyan P, Le N, MacLennan A, Cole S, Bluthenthal R, Lane C, El-Khoueiry A, Buchanan T. Monitoring Twitter Conversations for Targeted Recruitment in Cancer Trials in Los Angeles County: Protocol for a Mixed-Methods Pilot Study. JMIR Research Protocols 2018;7(9):e177 View
  46. Foroughi F, Lam A, Lim M, Saremi N, Ahmadvand A. “Googling” for Cancer: An Infodemiological Assessment of Online Search Interests in Australia, Canada, New Zealand, the United Kingdom, and the United States. JMIR Cancer 2016;2(1):e5 View
  47. Koh S, Gordon A, Wienberg C, Sood S, Morley S, Burke D. Stroke Experiences in Weblogs: A Feasibility Study of Sex Differences. Journal of Medical Internet Research 2014;16(3):e84 View
  48. Shin S, Kim T, Seo D, Sohn C, Kim S, Ryoo S, Lee Y, Lee J, Kim W, Lim K, Olson D. Correlation between National Influenza Surveillance Data and Search Queries from Mobile Devices and Desktops in South Korea. PLOS ONE 2016;11(7):e0158539 View
  49. Zhang N, Campo S, Janz K, Eckler P, Yang J, Snetselaar L, Signorini A. Electronic Word of Mouth on Twitter About Physical Activity in the United States: Exploratory Infodemiology Study. Journal of Medical Internet Research 2013;15(11):e261 View
  50. Nikfarjam A, Ransohoff J, Callahan A, Jones E, Loew B, Kwong B, Sarin K, Shah N. Early Detection of Adverse Drug Reactions in Social Health Networks: A Natural Language Processing Pipeline for Signal Detection. JMIR Public Health and Surveillance 2019;5(2):e11264 View
  51. Nsoesie E, Buckeridge D, Brownstein J. Guess Who’s Not Coming to Dinner? Evaluating Online Restaurant Reservations for Disease Surveillance. Journal of Medical Internet Research 2014;16(1):e22 View
  52. Schwab-Reese L, Hovdestad W, Tonmyr L, Fluke J. The potential use of social media and other internet-related data and communications for child maltreatment surveillance and epidemiological research: Scoping review and recommendations. Child Abuse & Neglect 2018;85:187 View
  53. Moore J, Barnett I, Boland M, Chen Y, Demiris G, Gonzalez-Hernandez G, Herman D, Himes B, Hubbard R, Kim D, Morris J, Mowery D, Ritchie M, Shen L, Urbanowicz R, Holmes J. Ideas for how informaticians can get involved with COVID-19 research. BioData Mining 2020;13(1) View
  54. Nsoesie E, Kluberg S, Brownstein J. Online reports of foodborne illness capture foods implicated in official foodborne outbreak reports. Preventive Medicine 2014;67:264 View
  55. Joshi A, Karimi S, Sparks R, Paris C, Macintyre C. Survey of Text-based Epidemic Intelligence. ACM Computing Surveys 2020;52(6):1 View
  56. Weeg C, Schwartz H, Hill S, Merchant R, Arango C, Ungar L. Using Twitter to Measure Public Discussion of Diseases: A Case Study. JMIR Public Health and Surveillance 2015;1(1):e6 View
  57. Mavragani A, Ochoa G. Google Trends in Infodemiology and Infoveillance: Methodology Framework. JMIR Public Health and Surveillance 2019;5(2):e13439 View
  58. Fernandez-Luque L, Imran M. Humanitarian health computing using artificial intelligence and social media: A narrative literature review. International Journal of Medical Informatics 2018;114:136 View
  59. Domnich A, Arbuzova E, Signori A, Amicizia D, Panatto D, Gasparini R. Demand-based web surveillance of sexually transmitted infections in Russia. International Journal of Public Health 2014;59(5):841 View
  60. Sousa-Pinto B, Anto A, Czarlewski W, Anto J, Fonseca J, Bousquet J. Assessment of the Impact of Media Coverage on COVID-19–Related Google Trends Data: Infodemiology Study. Journal of Medical Internet Research 2020;22(8):e19611 View
  61. Vasconcellos-Silva P, Carvalho D, Trajano V, de La Rocque L, Sawada A, Juvanhol L. Using Google Trends Data to Study Public Interest in Breast Cancer Screening in Brazil: Why Not a Pink February?. JMIR Public Health and Surveillance 2017;3(2):e17 View
  62. Santos J, Matos S. Analysing Twitter and web queries for flu trend prediction. Theoretical Biology and Medical Modelling 2014;11(S1) View
  63. Nagar R, Yuan Q, Freifeld C, Santillana M, Nojima A, Chunara R, Brownstein J. A Case Study of the New York City 2012-2013 Influenza Season With Daily Geocoded Twitter Data From Temporal and Spatiotemporal Perspectives. Journal of Medical Internet Research 2014;16(10):e236 View
  64. Li E, Tung C, Chang S. The wisdom of crowds in action: Forecasting epidemic diseases with a web-based prediction market system. International Journal of Medical Informatics 2016;92:35 View
  65. Rood S, Kaluthota S. Cottonwood Seed Dispersal Phenology across North America and Worldwide: Tracking ‘Summer Snow’ through an Internet Search. Wetlands 2020;40(6):1935 View
  66. Tourassi G, Yoon H, Xu S, Han X. The utility of web mining for epidemiological research: studying the association between parity and cancer risk. Journal of the American Medical Informatics Association 2016;23(3):588 View
  67. Moore C, McCabe E. Editorial utility of population‐based birth defects surveillance for monitoring the health of infants and as a foundation for etiologic research. Birth Defects Research Part A: Clinical and Molecular Teratology 2015;103(11):895 View
  68. Carrick J, Abdul Rahim M, Adjei C, Ashraa Kalee H, Banks S, Bolam F, Campos Luna I, Clark B, Cowton J, Domingos I, Golicha D, Gupta G, Grainger M, Hasanaliyeva G, Hodgson D, Lopez‐Capel E, Magistrali A, Merrell I, Oikeh I, Othman M, Ranathunga Mudiyanselage T, Samuel C, Sufar E, Watson P, Zakaria N, Stewart G. Is planting trees the solution to reducing flood risks?. Journal of Flood Risk Management 2019;12(S2) View
  69. Taylor J, Pagliari C. Comprehensive scoping review of health research using social media data. BMJ Open 2018;8(12):e022931 View
  70. Taylor J, Pagliari C. #Deathbedlive: the end-of-life trajectory, reflected in a cancer patient’s tweets. BMC Palliative Care 2018;17(1) View
  71. Paguio J, Yao J, Dee E. Silver lining of COVID-19: Heightened global interest in pneumococcal and influenza vaccines, an infodemiology study. Vaccine 2020;38(34):5430 View
  72. Levy H. Surveying research onfavelasand the media: emphases and absences in decades of critical explorations. Popular Communication 2021;19(4):251 View
  73. Mavragani A, Gkillas K. COVID-19 predictability in the United States using Google Trends time series. Scientific Reports 2020;10(1) View
  74. van Heerden A, Young S, Park C. Use of social media big data as a novel HIV surveillance tool in South Africa. PLOS ONE 2020;15(10):e0239304 View
  75. Madhumathi J, Sinha R, Veeraraghavan B, Walia K. Use of “Social Media”—an Option for Spreading Awareness in Infection Prevention. Current Treatment Options in Infectious Diseases 2021;13(1):14 View
  76. Shakeri Hossein Abad Z, Kline A, Sultana M, Noaeen M, Nurmambetova E, Lucini F, Al-Jefri M, Lee J. Digital public health surveillance: a systematic scoping review. npj Digital Medicine 2021;4(1) View
  77. Huynh Dagher S, Lamé G, Hubiche T, Ezzedine K, Duong T. The Influence of Media Coverage and Governmental Policies on Google Queries Related to COVID-19 Cutaneous Symptoms: Infodemiology Study. JMIR Public Health and Surveillance 2021;7(2):e25651 View
  78. Liu W, Wei Z, Cheng X, Pang R, Zhang H, Li G. Public Interest in Cosmetic Surgical and Minimally Invasive Plastic Procedures During the COVID-19 Pandemic: Infodemiology Study of Twitter Data. Journal of Medical Internet Research 2021;23(3):e23970 View
  79. Garett R, Young S. Digital Public Health Surveillance Tools for Alcohol Use and HIV Risk Behaviors. AIDS and Behavior 2021;25(S3):333 View
  80. Gabarron E, Rivera-Romero O, Miron-Shatz T, Grainger R, Denecke K. Role of Participatory Health Informatics in Detecting and Managing Pandemics: Literature Review. Yearbook of Medical Informatics 2021;30(01):200 View
  81. Naik H, Johnson M, Johnson M. Internet Interest in Colon Cancer Following the Death of Chadwick Boseman: Infoveillance Study. Journal of Medical Internet Research 2021;23(6):e27052 View
  82. 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
  83. Wang P, Xu Q, Cao R, Deng F, Lei S. Global Public Interests and Dynamic Trends in Osteoporosis From 2004 to 2019: Infodemiology Study. Journal of Medical Internet Research 2021;23(7):e25422 View
  84. Williams C, Ferreira A. Impact of political partisanship on public interest in infection prevention measures in the United States: An infodemiological study. Preventive Medicine Reports 2021;23:101493 View
  85. Gao Z, Fujita S, Shimizu N, Liew K, Murayama T, Yada S, Wakamiya S, Aramaki E. Measuring Public Concern About COVID-19 in Japanese Internet Users Through Search Queries: Infodemiological Study. JMIR Public Health and Surveillance 2021;7(7):e29865 View
  86. 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
  87. Garett R, Young S. The role of social media in monitoring COVID‐19 vaccine uptake. Journal of Evaluation in Clinical Practice 2022;28(4):650 View
  88. Shakeri Hossein Abad Z, Butler G, Thompson W, Lee J. Crowdsourcing for Machine Learning in Public Health Surveillance: Lessons Learned From Amazon Mechanical Turk. Journal of Medical Internet Research 2022;24(1):e28749 View
  89. Borda A, Molnar A, Neesham C, Kostkova P. Ethical Issues in AI-Enabled Disease Surveillance: Perspectives from Global Health. Applied Sciences 2022;12(8):3890 View
  90. Tudor C, Sova R. Infodemiological study on the impact of the COVID-19 pandemic on increased headache incidences at the world level. Scientific Reports 2022;12(1) View
  91. Gour A, Aggarwal S, Kumar S. Lending ears to unheard voices: An empirical analysis of user‐generated content on social media. Production and Operations Management 2022;31(6):2457 View
  92. Mukka M, Pesälä S, Hammer C, Mustonen P, Jormanainen V, Pelttari H, Kaila M, Helve O. Analyzing Citizens’ and Health Care Professionals’ Searches for Smell/Taste Disorders and Coronavirus in Finland During the COVID-19 Pandemic: Infodemiological Approach Using Database Logs. JMIR Public Health and Surveillance 2021;7(12):e31961 View
  93. Arroyo Barrigüete J, Barcos L, Bellón C, Corzo T. One year of European premiers leadership and empathy in times of global pandemic: a Twitter sentiment analysis. Cogent Social Sciences 2022;8(1) View
  94. Maaß C, Chia R. Shedding light on dark figures: Steps towards a methodology for estimating actual numbers of COVID-19 infections in Germany based on Google Trends. PLOS ONE 2022;17(10):e0276485 View
  95. Lee J, Lee D, Lee S, Cho I, Kim S. The trends on research articles related to health promotion policy in South Korea. Korean Journal of Health Education and Promotion 2021;38(4):53 View
  96. Chartier K, Guidry J, Lee C, Buckley T, Lin C. At home and online during the early months of the COVID-19 pandemic and the relationship to alcohol consumption in a national sample of U.S. adults. PLOS ONE 2021;16(11):e0259947 View
  97. Deiner M, Kaur G, McLeod S, Schallhorn J, Chodosh J, Hwang D, Lietman T, Porco T. A Google Trends Approach to Identify Distinct Diurnal and Day-of-Week Web-Based Search Patterns Related to Conjunctivitis and Other Common Eye Conditions: Infodemiology Study. Journal of Medical Internet Research 2022;24(7):e27310 View
  98. Trevino J, Malik S, Schmidt M. Integrating Google Trends Search Engine Query Data Into Adult Emergency Department Volume Forecasting: Infodemiology Study. JMIR Infodemiology 2022;2(1):e32386 View
  99. Yuan K, Huang G, Wang L, Wang T, Liu W, Jiang H, Yang A. Predicting Norovirus in the United States Using Google Trends: Infodemiology Study. Journal of Medical Internet Research 2021;23(9):e24554 View
  100. Gillis T, Garrison S. Confounding Effect of Undergraduate Semester–Driven “Academic" Internet Searches on the Ability to Detect True Disease Seasonality in Google Trends Data: Fourier Filter Method Development and Demonstration. JMIR Infodemiology 2022;2(2):e34464 View
  101. Sajjadi N, Feldman K, Shepard S, Reddy A, Torgerson T, Hartwell M, Vassar M. Public Interest and Behavior Change in the United States Regarding Colorectal Cancer Following the Death of Chadwick Boseman: Infodemiology Investigation of Internet Search Trends Nationally and in At-Risk Areas. JMIR Infodemiology 2021;1(1):e29387 View
  102. Deiner M, Seitzman G, Kaur G, McLeod S, Chodosh J, Lietman T, Porco T. Sustained Reductions in Online Search Interest for Communicable Eye and Other Conditions During the COVID-19 Pandemic: Infodemiology Study. JMIR Infodemiology 2022;2(1):e31732 View
  103. 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
  104. . Impact of COVID-19 Pandemic on Population-Level Interest in Skincare: Evidence from a Google Trends. European Journal of Medical and Health Sciences 2021:147 View
  105. Lemos R, Guizelini C, Silva T, Souza L, Fonseca H, Bonato G, Gomes D, Pupin R. Use of smartphone messaging applications to increase diagnostic efficiency in veterinary diagnostic laboratories. Pesquisa Veterinária Brasileira 2023;43 View
  106. Tan S, Tang M, Ong C, Tan V, Shannon N. Impact of COVID-19 on Public Interest in Breast Cancer Screening and Related Symptoms: Google Trends Analysis. JMIR Cancer 2023;9:e39105 View
  107. Tudor C, Sova R. Mining Google Trends data for nowcasting and forecasting colorectal cancer (CRC) prevalence. PeerJ Computer Science 2023;9:e1518 View
  108. Cesare N, Nguyen Q, Grant C, Nsoesie E. Social media captures demographic and regional physical activity. BMJ Open Sport & Exercise Medicine 2019;5(1):e000567 View

Books/Policy Documents

  1. Villar M, Marsh E. Reconceptualizing New Media and Intercultural Communication in a Networked Society. View
  2. Al-Surimi K, Khalifa M, Bahkali S, EL-Metwally A, Househ M. Emerging and Re-emerging Viral Infections. View
  3. Adams S. Participatory Health Through Social Media. View
  4. Barros V, Ramos I. Information Systems and Management in Media and Entertainment Industries. View
  5. Shin E, Shaban-Nejad A. Public Health Intelligence and the Internet. View
  6. Lake J. An Integrative Paradigm for Mental Health Care. View
  7. Villar M, Marsh E. Media Controversy. View
  8. Hornmoen H, McInnes C. Social Media Use in Crisis and Risk Communication. View
  9. Gaspar M, Sharp J, Nayyar G, Siarri D. Nursing Informatics. View
  10. Mutuvi S, Boros E, Doucet A, Lejeune G, Jatowt A, Odeo M. Towards Open and Trustworthy Digital Societies. View
  11. Batra K, Batra R, Sharma M. Effective Use of Social Media in Public Health. View
  12. Lake J. Integrative psychische Gesundheitsversorgung. View