Published on in Vol 22, No 9 (2020): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21419, first published .
Public Perceptions and Attitudes Toward COVID-19 Nonpharmaceutical Interventions Across Six Countries: A Topic Modeling Analysis of Twitter Data

Public Perceptions and Attitudes Toward COVID-19 Nonpharmaceutical Interventions Across Six Countries: A Topic Modeling Analysis of Twitter Data

Public Perceptions and Attitudes Toward COVID-19 Nonpharmaceutical Interventions Across Six Countries: A Topic Modeling Analysis of Twitter Data

Journals

  1. Chen Y, Zhou R, Chen B, Chen H, Li Y, Chen Z, Zhu H, Wang H. Knowledge, Perceived Beliefs, and Preventive Behaviors Related to COVID-19 Among Chinese Older Adults: Cross-Sectional Web-Based Survey. Journal of Medical Internet Research 2020;22(12):e23729 View
  2. 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
  3. Deraman N, Buja A, Samah K, Jono M, Isa M, Saad S. A Social Media Mining Using Topic Modeling and Sentiment Analysis on Tourism in Malaysia During Covid19. IOP Conference Series: Earth and Environmental Science 2021;704(1):012020 View
  4. Rosman T, Kerwer M, Steinmetz H, Chasiotis A, Wedderhoff O, Betsch C, Bosnjak M. WillCOVID‐19‐related economic worries superimpose health worries, reducing nonpharmaceutical intervention acceptance in Germany? A prospective pre‐registered study. International Journal of Psychology 2021;56(4):607 View
  5. Moran C, Campbell D, Campbell T, Roach P, Bourassa L, Collins Z, Stasiewicz M, McLane P. Predictors of attitudes and adherence to COVID-19 public health guidelines in Western countries: a rapid review of the emerging literature. Journal of Public Health 2021;43(4):739 View
  6. Sooknanan J, Mays N. Harnessing Social Media in the Modelling of Pandemics—Challenges and Opportunities. Bulletin of Mathematical Biology 2021;83(5) View
  7. Cuomo R, Purushothaman V, Li J, Cai M, Mackey T. A longitudinal and geospatial analysis of COVID-19 tweets during the early outbreak period in the United States. BMC Public Health 2021;21(1) View
  8. Lang R, Benham J, Atabati O, Hollis A, Tombe T, Shaffer B, Burns K, MacKean G, Léveillé T, McCormack B, Sheikh H, Fullerton M, Tang T, Boucher J, Constantinescu C, Mourali M, Manns B, Marshall D, Hu J, Oxoby R. Attitudes, behaviours and barriers to public health measures for COVID-19: a survey to inform public health messaging. BMC Public Health 2021;21(1) View
  9. Sleigh J, Amann J, Schneider M, Vayena E. Qualitative analysis of visual risk communication on twitter during the Covid-19 pandemic. BMC Public Health 2021;21(1) View
  10. Shah A, Naqvi R, Jeong O. Detecting Topic and Sentiment Trends in Physician Rating Websites: Analysis of Online Reviews Using 3-Wave Datasets. International Journal of Environmental Research and Public Health 2021;18(9):4743 View
  11. Chen J, Wang Y. Social Media Use for Health Purposes: Systematic Review. Journal of Medical Internet Research 2021;23(5):e17917 View
  12. Schneider K, Wilson D, Dayton L, Goodell E, Latkin C. Political partisanship and stigma against people who use drugs in opinions about allocating COVID-19 prevention resources to vulnerable populations. International Journal of Drug Policy 2021;95:103301 View
  13. Mat Dawi N, Namazi H, Maresova P. Predictors of COVID-19 Preventive Behavior Adoption Intention in Malaysia. Frontiers in Psychology 2021;12 View
  14. Sumner R, Kinsella E. “It's Like a Kick in the Teeth”: The Emergence of Novel Predictors of Burnout in Frontline Workers During Covid-19. Frontiers in Psychology 2021;12 View
  15. Hao R, Zhang Y, Cao Z, Li J, Xu Q, Ye L, Guo X, Zheng T, Song H. Control strategies and their effects on the COVID-19 pandemic in 2020 in representative countries. Journal of Biosafety and Biosecurity 2021;3(2):76 View
  16. Sharma S, Walton M, Manning S. Social Determinants of Health Influencing the New Zealand COVID-19 Response and Recovery: A Scoping Review and Causal Loop Diagram. Systems 2021;9(3):52 View
  17. Bou-Karroum L, Khabsa J, Jabbour M, Hilal N, Haidar Z, Abi Khalil P, Khalek R, Assaf J, Honein-AbouHaidar G, Samra C, Hneiny L, Al-Awlaqi S, Hanefeld J, El-Jardali F, Akl E, El Bcheraoui C. Public health effects of travel-related policies on the COVID-19 pandemic: A mixed-methods systematic review. Journal of Infection 2021;83(4):413 View
  18. Kim M, Bonn M, Hall C. Traveler Biosecurity Behavior during the COVID-19 Pandemic: Effects of Intervention, Resilience, and Sustainable Development Goals. Journal of Travel Research 2022;61(7):1599 View
  19. Wang Y, Shi M, Zhang J, Feng G. What public health campaigns can learn from people’s Twitter reactions on mask-wearing and COVID-19 Vaccines: a topic modeling approach. Cogent Social Sciences 2021;7(1) View
  20. Lang R, Atabati O, Oxoby R, Mourali M, Shaffer B, Sheikh H, Fullerton M, Tang T, Leigh J, Manns B, Marshall D, Ivers N, Ratzan S, Hu J, Benham J. Characterization of non-adopters of COVID-19 non-pharmaceutical interventions through a national cross-sectional survey to assess attitudes and behaviours. Scientific Reports 2021;11(1) View
  21. Hu M, Conway M. Perspectives of the COVID-19 Pandemic on Reddit: Comparative Natural Language Processing Study of the United States, the United Kingdom, Canada, and Australia. JMIR Infodemiology 2022;2(2):e36941 View
  22. Xu W, Tshimula J, Dubé È, Graham J, Greyson D, MacDonald N, Meyer S. Unmasking the Twitter Discourses on Masks During the COVID-19 Pandemic: User Cluster–Based BERT Topic Modeling Approach. JMIR Infodemiology 2022;2(2):e41198 View
  23. Ge Y, Zhang W, Liu H, Ruktanonchai C, Hu M, Wu X, Song Y, Ruktanonchai N, Yan W, Cleary E, Feng L, Li Z, Yang W, Liu M, Tatem A, Wang J, Lai S. Impacts of worldwide individual non-pharmaceutical interventions on COVID-19 transmission across waves and space. International Journal of Applied Earth Observation and Geoinformation 2022;106:102649 View
  24. Wamalwa M, Tonnang H. Using outbreak data to estimate the dynamic COVID-19 landscape in Eastern Africa. BMC Infectious Diseases 2022;22(1) View
  25. 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
  26. Azizi F, Hajiabadi H, Vahdat-Nejad H, Khosravi M. Detecting and analyzing topics of massive COVID-19 related tweets for various countries. Computers and Electrical Engineering 2023;106:108561 View
  27. Kinsella E, Muldoon O, Lemon S, Stonebridge N, Hughes S, Sumner R. In it together?: Exploring solidarity with frontline workers in the United Kingdom and Ireland during COVID‐19. British Journal of Social Psychology 2023;62(1):241 View
  28. Mesler R, Simpson B, Chernishenko J, Jain S, Dunn L, White K. Identity salience moderates the effect of social dominance orientation on COVID-19 ‘rule bending’. Acta Psychologica 2022;223:103460 View
  29. Constant A, Conserve D, Gallopel-Morvan K, Raude J. Cognitive Factors Associated With Public Acceptance of COVID-19 Nonpharmaceutical Prevention Measures: Cross-sectional Study. JMIRx Med 2022;3(2):e32859 View
  30. Haverila M, Haverila K, McLaughlin C. The role of user centric measures in the use of non-pharmaceutical interventions (NPIs). Journal of Social Marketing 2022;12(4):653 View
  31. Etta G, Galeazzi A, Hutchings J, James Smith C, Conti M, Quattrociocchi W, Riva G, Jalloh M. COVID-19 infodemic on Facebook and containment measures in Italy, United Kingdom and New Zealand. PLOS ONE 2022;17(5):e0267022 View
  32. Koljonen J, Palonen E. Performing COVID-19 Control in Finland: Interpretative Topic Modelling and Discourse Theoretical Reading of the Government Communication and Hashtag Landscape. Frontiers in Political Science 2021;3 View
  33. Seker M, Männistö A, Iosifidis A, Raitoharju J. Automatic social distance estimation for photographic studies: Performance evaluation, test benchmark, and algorithm. Machine Learning with Applications 2022;10:100427 View
  34. Gori Maia A, Martinez J, Marteleto L, Rodrigues C, Sereno L. Can the Content of Social Networks Explain Epidemic Outbreaks?. Population Research and Policy Review 2023;42(1) View
  35. Favi E, Leonardis F, Manzia T, Angelico R, Alalawi Y, Alfieri C, Cacciola R. “Salus Populi Suprema Lex”: Considerations on the Initial Response of the United Kingdom to the SARS-CoV-2 Pandemic. Frontiers in Public Health 2021;9 View
  36. Nakagawa K, Yang N, Wilson M, Yellowlees P. Twitter Usage Among Physicians From 2016 to 2020: Algorithm Development and Longitudinal Analysis Study. Journal of Medical Internet Research 2022;24(9):e37752 View
  37. Zhang J, Wang Y, Shi M, Wang X. Factors Driving the Popularity and Virality of COVID-19 Vaccine Discourse on Twitter: Text Mining and Data Visualization Study. JMIR Public Health and Surveillance 2021;7(12):e32814 View
  38. Fullerton M, Benham J, Graves A, Fazel S, Doucette E, Oxoby R, Mourali M, Boucher J, Constantinescu C, Parsons Leigh J, Tang T, Marshall D, Hu J, Lang R. Challenges and recommendations for COVID-19 public health messaging: a Canada-wide qualitative study using virtual focus groups. BMJ Open 2022;12(4):e054635 View
  39. Kim M, Noh Y, Yamada A, Hong S. Comparison of the Erectile Dysfunction Drugs Sildenafil and Tadalafil Using Patient Medication Reviews: Topic Modeling Study. JMIR Medical Informatics 2022;10(2):e32689 View
  40. Kilonzo C, Wamalwa M, Whegang S, Tonnang H. Assessing the impact of non-pharmaceutical interventions (NPIs) and BCG vaccine cross-protection in the transmission dynamics of SARS-CoV-2 in eastern Africa. BMC Research Notes 2022;15(1) View
  41. Yeoman I, Schänzel H, Zentveld E. Tourist behaviour in a COVID-19 world: a New Zealand perspective. Journal of Tourism Futures 2022;8(2):155 View
  42. Martínez de la Torre C, Córcoles García S, Bernad Carbonell F, Navarro Plaza E, Córcoles García M, Llano Gómez C. Actitudes y opiniones de la población adolescente sobre las recomendaciones de protección de la salud frente a la COVID-19. Revista Clínica de Medicina de Familia 2022:147 View
  43. Choi W, Hong J. Strategic exploration of the COVID-19 prevention campaign message: based on South Koreans’ perception type. BMC Public Health 2022;22(1) View
  44. Meaney C, Moineddin R, Kalia S, Aliarzadeh B, Greiver M, Li-Jessen N. Using Primary Care Clinical Text Data and Natural Language Processing to Identify Indicators of COVID-19 in Toronto, Canada. PLOS Digital Health 2022;1(12):e0000150 View
  45. Mourali M, Benham J, Lang R, Fullerton M, Boucher J, Cornelson K, Oxoby R, Constantinescu C, Tang T, Marshall D, Hu J. Persuasive Messages for Improving Adherence to COVID-19 Prevention Behaviors: Randomized Online Experiment. JMIR Human Factors 2023;10:e41328 View
  46. Peixoto A, de Almeida A, António N, Batista F, Ribeiro R. Diachronic profile of startup companies through social media. Social Network Analysis and Mining 2023;13(1) View
  47. Taiwo O, Addie O, Seun-Addie K. A local government area based Covid-19 vulnerability analysis in Nigeria. GeoJournal 2023;88(4):4127 View
  48. Liu L, Mirkovski K, Lowry P, Vu Q. “Do as I say but not as I do”: Influence of political leaders’ populist communication styles on public adherence in a crisis using the global case of COVID-19 movement restrictions. Data and Information Management 2023;7(2):100039 View
  49. Etienne D, Archambault P, Aziaka D, Chipenda-Dansokho S, Dubé E, Fallon C, Hakim H, Kindrachuk J, Krecoum D, MacDonald S, Ndjaboue R, Noubi M, Paquette J, Parent E, Witteman H. A Personalized Avatar-Based Web Application to Help People Understand How Social Distancing Can Reduce the Spread of COVID-19: Cross-sectional, Observational, Pre-Post Study. JMIR Formative Research 2023;7:e38430 View
  50. Laureate C, Buntine W, Linger H. A systematic review of the use of topic models for short text social media analysis. Artificial Intelligence Review 2023;56(12):14223 View
  51. Fogarty B, Massie K, Svistova J. Unmasking twitter discourse: an infodemiology study of covid-19 mitigation practices. Atlantic Journal of Communication 2024;32(1):124 View
  52. Shahbazi M, Bunker D, Sorrell T. Communicating shared situational awareness in times of chaos: Social media and theCOVID‐19 pandemic. Journal of the Association for Information Science and Technology 2023;74(10):1185 View
  53. den Uil A, van Doorn H, Schweitzer M, Janssen M, Scholte R, Busch V. The effects of the COVID-19 lockdowns on motor skill development of 6- and 7-year old children in the Netherlands: a longitudinal study. BMC Public Health 2023;23(1) View
  54. Sanstead E, Li Z, McKearnan S, Kao S, Mink P, Simon A, Kuntz K, Gildemeister S, Enns E. Adaptive COVID-19 Mitigation Strategies: Tradeoffs between Trigger Thresholds, Response Timing, and Effectiveness. MDM Policy & Practice 2023;8(2) View
  55. Haverila M, Currie R, Haverila K, McLaughlin C, Twyford J. The impact of word-of-mouth (WOM) on attitudes, behavioural intentions, and actual usage of non-pharmaceutical interventions (NPIs) among early and late adopters. International Journal of Pharmaceutical and Healthcare Marketing 2024;18(2):300 View
  56. Snellman J, Barreiro N, Barrio R, Ventura C, Govezensky T, Kaski K, Korpi-Lagg M. Socio-economic pandemic modelling: case of Spain. Scientific Reports 2024;14(1) View
  57. Wentzel A, Levine L, Dhariwal V, Fatemi Z, Bhattacharya A, Eugenio B, Rojecki A, Zheleva E, Marai G. MOTIV: Visual Exploration of Moral Framing in Social Media. Computer Graphics Forum 2024;43(6) View
  58. Whitfield C, Liu Y, Anwar M. Impact of COVID-19 Pandemic on Social Determinants of Health Issues of Marginalized Black and Asian Communities: A Social Media Analysis Empowered by Natural Language Processing. Journal of Racial and Ethnic Health Disparities 2024 View
  59. Mutsaka-Makuvaza M, Midzi N, Charimari L, Mangwiro P, Manengureni T, Mugadza G. Use of face masks for COVID-19 prevention: a qualitative study on barriers and motivators in Zimbabwe. Discover Social Science and Health 2024;4(1) View
  60. Bishal M, Chowdory M, Das A, Kabir M. COVIDHealth: A novel labeled dataset and machine learning-based web application for classifying COVID-19 discourses on Twitter. Heliyon 2024;10(14):e34103 View

Books/Policy Documents

  1. Sabuncu I, Aydin M. Data Science Advancements in Pandemic and Outbreak Management. View
  2. Takian A, Haghighi H, Raoofi A. Environmental and Health Management of Novel Coronavirus Disease (COVID-19 ). View
  3. Sabuncu I. Handbook of Research on the Impacts and Implications of COVID-19 on the Tourism Industry. View
  4. Scales S, Horney J. The COVID-19 Response. View