Published on in Vol 22, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21143, first published .
Cross-Country Comparison of Public Awareness, Rumors, and Behavioral Responses to the COVID-19 Epidemic: Infodemiology Study

Cross-Country Comparison of Public Awareness, Rumors, and Behavioral Responses to the COVID-19 Epidemic: Infodemiology Study

Cross-Country Comparison of Public Awareness, Rumors, and Behavioral Responses to the COVID-19 Epidemic: Infodemiology Study

Journals

  1. Lewiecki E. Vitamin D and COVID-19: Is something better than nothing?. Osteoporosis and Sarcopenia 2020;6(3):95 View
  2. Pascual-Ferrá P, Alperstein N, Barnett D. Social Network Analysis of COVID-19 Public Discourse on Twitter: Implications for Risk Communication. Disaster Medicine and Public Health Preparedness 2022;16(2):561 View
  3. Pramukti I, Strong C, Sitthimongkol Y, Setiawan A, Pandin M, Yen C, Lin C, Griffiths M, Ko N. Anxiety and Suicidal Thoughts During the COVID-19 Pandemic: Cross-Country Comparative Study Among Indonesian, Taiwanese, and Thai University Students. Journal of Medical Internet Research 2020;22(12):e24487 View
  4. Mavragani A, Gkillas K. COVID-19 predictability in the United States using Google Trends time series. Scientific Reports 2020;10(1) View
  5. Chen S, Zhou L, Song Y, Xu Q, Wang P, Wang K, Ge Y, Janies D. A Novel Machine Learning Framework for Comparison of Viral COVID-19–Related Sina Weibo and Twitter Posts: Workflow Development and Content Analysis. Journal of Medical Internet Research 2021;23(1):e24889 View
  6. Chakrawarty A, Ranjan P, Thrinath A, Aggarwal E, Isaac J, Berry P, Baitha U, Upadhyay A, Chowdhury S, Kumar A. Assessment of Preventive Practices Followed by General Public During COVID-19 Pandemic - A Cross-Sectional Survey From India. Cureus 2020 View
  7. Ranjan P, Bhattacharya A, Chakrawarty A, Das R, Kumar A, Pandey S, Chowdhury S, Mittal A, Baitha U, Wig N. Association Between Self-Reported Adherence to Preventive Practices and Probability of Turning COVID-19 Positive: A Cross-Sectional Analytical Study. Cureus 2020 View
  8. Naeem M, Ozuem W. Customers' social interactions and panic buying behavior: Insights from social media practices. Journal of Consumer Behaviour 2021;20(5):1191 View
  9. Lee M, You M. Effects of COVID-19 Emergency Alert Text Messages on Practicing Preventive Behaviors: Cross-sectional Web-Based Survey in South Korea. Journal of Medical Internet Research 2021;23(2):e24165 View
  10. Han Y, Jiang B, Guo R. Factors Affecting Public Adoption of COVID-19 Prevention and Treatment Information During an Infodemic: Cross-sectional Survey Study. Journal of Medical Internet Research 2021;23(3):e23097 View
  11. Agarwal A, Ranjan P, Rohilla P, Saikaustubh Y, Sahu A, Dwivedi S, Aakansha , Baitha U, Kumar A. Development and validation of a questionnaire to assess preventive practices against COVID-19 pandemic in the general population. Preventive Medicine Reports 2021;22:101339 View
  12. Banerjee D, Meena K. COVID-19 as an “Infodemic” in Public Health: Critical Role of the Social Media. Frontiers in Public Health 2021;9 View
  13. Rosenke K, Hansen F, Schwarz B, Feldmann F, Haddock E, Rosenke R, Barbian K, Meade-White K, Okumura A, Leventhal S, Hawman D, Ricotta E, Bosio C, Martens C, Saturday G, Feldmann H, Jarvis M. Orally delivered MK-4482 inhibits SARS-CoV-2 replication in the Syrian hamster model. Nature Communications 2021;12(1) View
  14. Zhou X, Song Y, Jiang H, Wang Q, Qu Z, Zhou X, Jit M, Hou Z, Lin L. Comparison of Public Responses to Containment Measures During the Initial Outbreak and Resurgence of COVID-19 in China: Infodemiology Study. Journal of Medical Internet Research 2021;23(4):e26518 View
  15. Cheng Y, Huo L, Zhao L. Dynamical behaviors and control measures of rumor-spreading model in consideration of the infected media and time delay. Information Sciences 2021;564:237 View
  16. Long V, Koh W, Saw Y, Liu J. Vulnerability to rumours during the COVID-19 pandemic in Singapore. Annals of the Academy of Medicine, Singapore 2021;50(3):232 View
  17. Adly A, Adly M, Adly A. Telemanagement of Home-Isolated COVID-19 Patients Using Oxygen Therapy With Noninvasive Positive Pressure Ventilation and Physical Therapy Techniques: Randomized Clinical Trial. Journal of Medical Internet Research 2021;23(4):e23446 View
  18. Chin C, Liu C, Wang C, Park C. Evolving public behavior and attitudes towards COVID-19 and face masks in Taiwan: A social media study. PLOS ONE 2021;16(5):e0251845 View
  19. Hou Z, Song S, Du F, Shi L, Zhang D, Lin L, Yu H. The Influence of the COVID-19 Epidemic on Prevention and Vaccination Behaviors Among Chinese Children and Adolescents: Cross-sectional Online Survey Study. JMIR Public Health and Surveillance 2021;7(5):e26372 View
  20. Hou Z, Tong Y, Du F, Lu L, Zhao S, Yu K, Piatek S, Larson H, Lin L. Assessing COVID-19 Vaccine Hesitancy, Confidence, and Public Engagement: A Global Social Listening Study. Journal of Medical Internet Research 2021;23(6):e27632 View
  21. Smith M, Bahri P, Gaudino J, Moreira R, Danyluk G, Palevsky S. The role of epidemiologists in communicating SARS-CoV-2 evidence: a call for adopting standards. International Journal of Epidemiology 2021;50(5):1410 View
  22. Wei S, Ma M, Wen X, Wu C, Zhu G, Zhou X. Online Public Attention Toward Premature Ejaculation in Mainland China: Infodemiology Study Using the Baidu Index. Journal of Medical Internet Research 2021;23(8):e30271 View
  23. Tseng P, Tsai F, Hsu J, Chang Y, Wang K, Wu M, Chen M, Su C, Shia B, Miser J. Public Awareness as a Line of Defense Against COVID-19 in Taiwan. Asia Pacific Journal of Public Health 2021;33(8):981 View
  24. Sami W, Albarakati R, Aloreyfij A, Alhamad A, Alshmas B, Aldawi A, Alawlah H. Knowledge, perceptions, and attitudes toward the 2019 coronavirus pandemic: a survey in Sudayr Region, Kingdom of Saudi Arabia. International Journal of Medicine in Developing Countries 2021:551 View
  25. Pian W, Chi J, Ma F. The causes, impacts and countermeasures of COVID-19 “Infodemic”: A systematic review using narrative synthesis. Information Processing & Management 2021;58(6):102713 View
  26. Abdeen M, Hamed A, Wu X. Fighting the COVID-19 Infodemic in News Articles and False Publications: The NeoNet Text Classifier, a Supervised Machine Learning Algorithm. Applied Sciences 2021;11(16):7265 View
  27. Quach H, Pham T, Hoang N, Phung D, Nguyen V, Le S, Le T, Le D, Dang A, Tran D, Ngu N, Vogt F, Nguyen C. Understanding the COVID-19 Infodemic: Analyzing User-Generated Online Information During a COVID-19 Outbreak in Vietnam. Healthcare Informatics Research 2022;28(4):307 View
  28. Auerbach J, Forsyth A, Davey C, Hargreaves J. Living with COVID-19 and preparing for future pandemics: revisiting lessons from the HIV pandemic. The Lancet HIV 2023;10(1):e62 View
  29. Li M, Chen Z, Rao L. Emotion, analytic thinking and susceptibility to misinformation during the COVID-19 outbreak. Computers in Human Behavior 2022;133:107295 View
  30. Zhu H. Interplay between Discrete Emotions and Preventive Behavior in Health Crises: Big Data Analysis of COVID-19. International Journal of Environmental Research and Public Health 2022;19(24):16407 View
  31. Jiang L, Ma Q, Wei S, Che G. Online Public Attention of COVID-19 Vaccination in Mainland China. DIGITAL HEALTH 2022;8:205520762110704 View
  32. An L, Russell D, Mihalcea R, Bacon E, Huffman S, Resnicow K. Online Search Behavior Related to COVID-19 Vaccines: Infodemiology Study. JMIR Infodemiology 2021;1(1):e32127 View
  33. Shang Y, Cai H, Wei Y. The impacts of infectious disease pandemic on China’s edible vegetable oil futures markets: A long-term perspective. Economic Research-Ekonomska Istraživanja 2023;36(1) View
  34. Xiao Q, Huang W, Zhang X, Wan S, Li X. Internet Rumors During the COVID-19 Pandemic: Dynamics of Topics and Public Psychologies. Frontiers in Public Health 2021;9 View
  35. Lin L, Song Y, Wang Q, Pu J, Sun F, Zhang Y, Zhou X, Larson H, Hou Z. Public Attitudes and Factors of COVID-19 Testing Hesitancy in the United Kingdom and China: Comparative Infodemiology Study. JMIR Infodemiology 2021;1(1):e26895 View
  36. Kim S, Capasso A, Cook S, Ali S, Jones A, Foreman J, DiClemente R, Tozan Y, Delcea C. Impact of COVID-19-related knowledge on protective behaviors: The moderating role of primary sources of information. PLOS ONE 2021;16(11):e0260643 View
  37. Li H, Wang L, Zhang M, Lu Y, Wang W, Kamel M. Effects of vaccination and non-pharmaceutical interventions and their lag times on the COVID-19 pandemic: Comparison of eight countries. PLOS Neglected Tropical Diseases 2022;16(1):e0010101 View
  38. Castellano-Tejedor C, Torres-Serrano M, Cencerrado A. (Mis)Information, Fears and Preventative Health Behaviours Related to COVID-19. International Journal of Environmental Research and Public Health 2022;19(8):4539 View
  39. Bhagavathulaa A, Massey P, Khubchandani J. Monkeypox outbreak and global public interest in the disease. Journal of Hospital Infection 2022;129:110 View
  40. Quach H, Pham T, Hoang N, Phung D, Nguyen V, Le S, Le T, Bui T, Le D, Dang A, Tran D, Ngu N, Vogt F, Nguyen C, Sung W. Using ‘infodemics’ to understand public awareness and perception of SARS-CoV-2: A longitudinal analysis of online information about COVID-19 incidence and mortality during a major outbreak in Vietnam, July—September 2020. PLOS ONE 2022;17(4):e0266299 View
  41. Larson H, Lin L, Goble R. Vaccines and the social amplification of risk. Risk Analysis 2022;42(7):1409 View
  42. Song C, Yin H, Shi X, Xie M, Yang S, Zhou J, Wang X, Tang Z, Yang Y, Pan J. Spatiotemporal disparities in regional public risk perception of COVID-19 using Bayesian Spatiotemporally Varying Coefficients (STVC) series models across Chinese cities. International Journal of Disaster Risk Reduction 2022;77:103078 View
  43. Harper T, Attwell K. How Vaccination Rumours Spread Online: Tracing the Dissemination of Information Regarding Adverse Events of COVID-19 Vaccines. International Journal of Public Health 2022;67 View
  44. Schröder D, Heesen G, Heinemann S, Hummers E, Jablonka A, Steffens S, Mikuteit M, Niewolik J, Overbeck T, Kallusky J, Müller F. Development and Validation of a Questionnaire to Assess Social Participation of High Risk-Adults in Germany During the COVID-19 Pandemic. Frontiers in Public Health 2022;10 View
  45. Mahbub S, Pardede E, Kayes A. COVID-19 Rumor Detection Using Psycho-Linguistic Features. IEEE Access 2022;10:117530 View
  46. Xu G, Feng X, Li Y, Jia J. Mediation effects of online public attention on the relationship between air pollution and precautionary behavior. Journal of Management Science and Engineering 2022;7(1):159 View
  47. Fischer R, Karl J. Predicting Behavioral Intentions to Prevent or Mitigate COVID-19: A Cross-Cultural Meta-Analysis of Attitudes, Norms, and Perceived Behavioral Control Effects. Social Psychological and Personality Science 2022;13(1):264 View
  48. Alfuqaha O, Aladwan D, Al Thaher Y, Alhalaiqa F. Measuring a panic buying behavior: the role of awareness, demographic factors, development, and verification. Heliyon 2022;8(5):e09372 View
  49. Zhou H. Can Short Selling Improve the Quality of Information Disclosure in Clarification Announcements by Firms Faced with Market Rumors?. Emerging Markets Finance and Trade 2023;59(8):2548 View
  50. Zayed B, Talaia A, Gaaboobah M, Amer S, Mansour F. Google Trends as a predictive tool in the era of COVID-19: a scoping review. Postgraduate Medical Journal 2023;99(1175):962 View
  51. Bouclaous C, Kamand A, Daher R, Razim A, Kaedbey H. Digital health literacy and online information-seeking behavior of Lebanese university students in the time of the COVID-19 pandemic and infodemic. Nordic Journal of Digital Literacy 2023;18(1):60 View
  52. Ali M, Gomes L, Azab N, de Moraes Souza J, Sorour M, Kimura H. Panic buying and fake news in urban vs. rural England: A case study of twitter during COVID-19. Technological Forecasting and Social Change 2023;193:122598 View
  53. Zhou X, Song S, Zhang Y, Hou Z. Deep Learning Analysis of COVID-19 Vaccine Hesitancy and Confidence Expressed on Twitter in 6 High-Income Countries: Longitudinal Observational Study. Journal of Medical Internet Research 2023;25:e49753 View
  54. Zhu R, Zhang X. Public sector’s misinformation debunking during the public health campaign: a case of Hong Kong. Health Promotion International 2023;38(3) View
  55. Zhao X, Horoszko U, Murphy A, Taylor B, Lamuda P, Pollack H, Schneider J, Taxman F. Openness to change among COVID misinformation endorsers: Associations with social demographic characteristics and information source usage. Social Science & Medicine 2023;335:116233 View
  56. Clark E, Neumann S, Hopkins S, Kostopoulos A, Hagerman L, Dobbins M. Changes to Public Health Surveillance Methods Due to the COVID-19 Pandemic: Scoping Review. JMIR Public Health and Surveillance 2024;10:e49185 View
  57. Xiong N, Fan T, Liu Q, Fritzsche K, Leonhart R, Stein B, Waller C, Müller M. Burnout, emotional distress and sleep quality among Chinese psychiatric healthcare workers during the COVID-19 pandemic: a follow-up study. Frontiers in Public Health 2023;11 View
  58. Wang Y, Qi L, Cai S. How can the collaborative participation of regulators, whistleblowers, and parties effectively promote rumor management in public health emergencies?. Frontiers in Public Health 2024;11 View
  59. Yoon S, Lim H, Park S. Impact of Wireless Emergency Alerts on a Floating Population: An Analysis of Panel Data from Seoul, South (Preprint). JMIR Public Health and Surveillance 2022 View
  60. Zhang N, Cao Y, Zhang L. Why do parents refuse to self-protect? Socio-cultural factors influencing the immediate response of the older generation to COVID-19 and their spatial heterogeneity in China. International Journal of Disaster Risk Reduction 2024;101:104260 View
  61. Buller D, Sussman A, Thomson C, Kepka D, Taren D, Henry K, Warner E, Walkosz B, Woodall W, Nuss K, Blair C, Guest D, Borrayo E, Gordon J, Hatcher J, Wetter D, Kinsey A, Jones C, Yung A, Christini K, Berteletti J, Torres J, Barraza Perez E, Small A. #4Corners4Health Social Media Cancer Prevention Campaign for Emerging Adults: Protocol for a Randomized Stepped-Wedge Trial. JMIR Research Protocols 2024;13:e50392 View

Books/Policy Documents

  1. Gray K. The Health Information Workforce. View
  2. Fisher A, Sharma R, Mago V. Artificial Intelligence for Personalized Medicine. View