Published on in Vol 22, No 5 (2020): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19334, first published .
Measuring the Outreach Efforts of Public Health Authorities and the Public Response on Facebook During the COVID-19 Pandemic in Early 2020: Cross-Country Comparison

Measuring the Outreach Efforts of Public Health Authorities and the Public Response on Facebook During the COVID-19 Pandemic in Early 2020: Cross-Country Comparison

Measuring the Outreach Efforts of Public Health Authorities and the Public Response on Facebook During the COVID-19 Pandemic in Early 2020: Cross-Country Comparison

Journals

  1. Shan S, Yan Q, Wei Y. Infectious or Recovered? Optimizing the Infectious Disease Detection Process for Epidemic Control and Prevention Based on Social Media. International Journal of Environmental Research and Public Health 2020;17(18):6853 View
  2. Ngai C, Singh R, Lu W, Koon A. Grappling With the COVID-19 Health Crisis: Content Analysis of Communication Strategies and Their Effects on Public Engagement on Social Media. Journal of Medical Internet Research 2020;22(8):e21360 View
  3. Veiga e Silva L, de Andrade Abi Harb M, Teixeira Barbosa dos Santos A, de Mattos Teixeira C, Macedo Gomes V, Silva Cardoso E, S da Silva M, Vijaykumar N, Venâncio Carvalho S, Ponce de Leon Ferreira de Carvalho A, Lisboa Frances C. COVID-19 Mortality Underreporting in Brazil: Analysis of Data From Government Internet Portals. Journal of Medical Internet Research 2020;22(8):e21413 View
  4. Fan T, Hao B, Yang S, Shen B, Huang Z, Lu Z, Xiong R, Shen X, Jiang W, Zhang L, Li D, He R, Meng H, Lin W, Feng H, Geng Q. Nomogram for Predicting COVID-19 Disease Progression Based on Single-Center Data: Observational Study and Model Development. JMIR Medical Informatics 2020;8(9):e19588 View
  5. Al-Hasan A, Yim D, Khuntia J. Citizens’ Adherence to COVID-19 Mitigation Recommendations by the Government: A 3-Country Comparative Evaluation Using Web-Based Cross-Sectional Survey Data. Journal of Medical Internet Research 2020;22(8):e20634 View
  6. Drozdova L, Lischenko O, Rakovskaya Y, Drapkina O. Activities of Public Health and Medical Prevention Centres of the COVID-19 epidemic. Profilakticheskaya meditsina 2020;23(7):33 View
  7. Dai Z, Zeng D, Cui D, Wang D, Feng Y, Shi Y, Zhao L, Xu J, Guo W, Yang Y, Zhao X, Li D, Zheng Y, Wang A, Wu M, Song S, Lu H. Prediction of COVID-19 Patients at High Risk of Progression to Severe Disease. Frontiers in Public Health 2020;8 View
  8. Boon-Itt S, Skunkan Y. Public Perception of the COVID-19 Pandemic on Twitter: Sentiment Analysis and Topic Modeling Study. JMIR Public Health and Surveillance 2020;6(4):e21978 View
  9. Zeng R, Li M. Social Media Use for Health Communication by the CDC in Mainland China: National Survey Study 2009-2020. Journal of Medical Internet Research 2020;22(12):e19470 View
  10. Do B, Tran T, Phan D, Nguyen H, Nguyen T, Nguyen H, Ha T, Dao H, Trinh M, Do T, Nguyen H, Vo T, Nguyen N, Tran C, Tran K, Duong T, Pham H, Nguyen L, Nguyen K, Chang P, Duong T. Health Literacy, eHealth Literacy, Adherence to Infection Prevention and Control Procedures, Lifestyle Changes, and Suspected COVID-19 Symptoms Among Health Care Workers During Lockdown: Online Survey. Journal of Medical Internet Research 2020;22(11):e22894 View
  11. Lyu J, Luli G. Understanding the Public Discussion About the Centers for Disease Control and Prevention During the COVID-19 Pandemic Using Twitter Data: Text Mining Analysis Study. Journal of Medical Internet Research 2021;23(2):e25108 View
  12. Brewer L, Asiedu G, Jones C, Richard M, Erickson J, Weis J, Abbenyi A, Brockman T, Sia I, Wieland M, White R, Doubeni C. Emergency Preparedness and Risk Communication Among African American Churches: Leveraging a Community-Based Participatory Research Partnership COVID-19 Initiative. Preventing Chronic Disease 2020;17 View
  13. Delgado-Gallegos J, Montemayor-Garza R, Padilla-Rivas G, Franco-Villareal H, Islas J. Prevalence of Stress in Healthcare Professionals during the COVID-19 Pandemic in Northeast Mexico: A Remote, Fast Survey Evaluation, Using an Adapted COVID-19 Stress Scales. International Journal of Environmental Research and Public Health 2020;17(20):7624 View
  14. Alamoodi A, Zaidan B, Zaidan A, Albahri O, Mohammed K, Malik R, Almahdi E, Chyad M, Tareq Z, Albahri A, Hameed H, Alaa M. Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: A systematic review. Expert Systems with Applications 2021;167:114155 View
  15. Hassan L, Nenadic G, Tully M. A Social Media Campaign (#datasaveslives) to Promote the Benefits of Using Health Data for Research Purposes: Mixed Methods Analysis. Journal of Medical Internet Research 2021;23(2):e16348 View
  16. Budd J, Miller B, Manning E, Lampos V, Zhuang M, Edelstein M, Rees G, Emery V, Stevens M, Keegan N, Short M, Pillay D, Manley E, Cox I, Heymann D, Johnson A, McKendry R. Digital technologies in the public-health response to COVID-19. Nature Medicine 2020;26(8):1183 View
  17. Esam F, Forrest R, Waran N. Locking down the Impact of New Zealand’s COVID-19 Alert Level Changes on Pets. Animals 2021;11(3):758 View
  18. Park S, Han S, Kim J, Molaie M, Vu H, Singh K, Han J, Lee W, Cha M. COVID-19 Discourse on Twitter in Four Asian Countries: Case Study of Risk Communication. Journal of Medical Internet Research 2021;23(3):e23272 View
  19. Pang P, Cai Q, Jiang W, Chan K. Engagement of Government Social Media on Facebook during the COVID-19 Pandemic in Macao. International Journal of Environmental Research and Public Health 2021;18(7):3508 View
  20. 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
  21. Tam L, Ho H, Nguyen D, Elias A, Le A. Receptivity of Governmental Communication and Its Effectiveness During COVID-19 Pandemic Emergency in Vietnam: A Qualitative Study. Global Journal of Flexible Systems Management 2021;22(S1):45 View
  22. Kastrati Z, Ahmedi L, Kurti A, Kadriu F, Murtezaj D, Gashi F. A Deep Learning Sentiment Analyser for Social Media Comments in Low-Resource Languages. Electronics 2021;10(10):1133 View
  23. Mallah S, Ghorab O, Al-Salmi S, Abdellatif O, Tharmaratnam T, Iskandar M, Sefen J, Sidhu P, Atallah B, El-Lababidi R, Al-Qahtani M. COVID-19: breaking down a global health crisis. Annals of Clinical Microbiology and Antimicrobials 2021;20(1) View
  24. Alhassan F, AlDossary S. The Saudi Ministry of Health’s Twitter Communication Strategies and Public Engagement During the COVID-19 Pandemic: Content Analysis Study. JMIR Public Health and Surveillance 2021;7(7):e27942 View
  25. Tri Sakti A, Mohamad E, Azlan A. Mining of Opinions on COVID-19 Large-Scale Social Restrictions in Indonesia: Public Sentiment and Emotion Analysis on Online Media. Journal of Medical Internet Research 2021;23(8):e28249 View
  26. Alami H, Lehoux P, Fleet R, Fortin J, Liu J, Attieh R, Cadeddu S, Abdoulaye Samri M, Savoldelli M, Ag Ahmed M. How Can Health Systems Better Prepare for the Next Pandemic? Lessons Learned From the Management of COVID-19 in Quebec (Canada). Frontiers in Public Health 2021;9 View
  27. Maitra C, Rowley J. Delivering eye health education to deprived communities in India through a social media‐based innovation. Health Information & Libraries Journal 2021;38(2):139 View
  28. Al-Rawi A, Grepin K, Li X, Morgan R, Wenham C, Smith J. Investigating Public Discourses Around Gender and COVID-19: a Social Media Analysis of Twitter Data. Journal of Healthcare Informatics Research 2021;5(3):249 View
  29. Bogatyreva T. Foreign Experience of Public Sector Communications in the context of Global COVID-19 Pandemic. Communicology 2021;9(1):15 View
  30. Padeiro M, Bueno-Larraz B, Freitas Â. Local governments' use of social media during the COVID-19 pandemic: The case of Portugal. Government Information Quarterly 2021;38(4):101620 View
  31. Azevedo D, Plácido A, Herdeiro M, Roque F, Roque V. How Portuguese Health Entities Used Social Media to Face the Public Health Emergency during COVID-19 Disease. International Journal of Environmental Research and Public Health 2022;19(19):11942 View
  32. Brown L, Williams A, Shaw K, Ozakinci G, van Beusekom M. Information-seeking behaviours and uncertainty around accessing primary care in the changing landscape of the COVID-19 pandemic: a qualitative study. BJGP Open 2022;6(1):BJGPO.2021.0151 View
  33. Yuan L, Wang M, Umakanthan S. The emotion bias of health product consumers in the context of COVID-19. PLOS ONE 2022;17(11):e0278219 View
  34. Li L, Aldosery A, Vitiugin F, Nathan N, Novillo-Ortiz D, Castillo C, Kostkova P. The Response of Governments and Public Health Agencies to COVID-19 Pandemics on Social Media: A Multi-Country Analysis of Twitter Discourse. Frontiers in Public Health 2021;9 View
  35. Obiedat R, Harfoushi O, Qaddoura R, Al-Qaisi L, Al-Zoubi A. An Evolutionary-Based Sentiment Analysis Approach for Enhancing Government Decisions during COVID-19 Pandemic: The Case of Jordan. Applied Sciences 2021;11(19):9080 View
  36. Jones R, Mougouei D, Evans S. Understanding the emotional response to COVID‐19 information in news and social media: A mental health perspective. Human Behavior and Emerging Technologies 2021;3(5):832 View
  37. Liu L, Tu Y, Zhou X. How local outbreak of COVID-19 affect the risk of internet public opinion: A Chinese social media case study. Technology in Society 2022;71:102113 View
  38. Abuín-Penas J, Abuín-Penas R. Redes sociales y el interés por la información oficial en tiempos de pandemia: análisis de la comunicación de los ministerios de salud europeos en Facebook durante la COVID-19. Revista de Comunicación y Salud 2022;12:59 View
  39. Jones L, Devkota B, Montalvo F, Sasser J, Pavlov K, McConnell D, Smither J. A Heuristic Evaluation of the CDC’s Social Media Information Dissemination Practices. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2022;66(1):1145 View
  40. Sarirete A. Sentiment analysis tracking of COVID-19 vaccine through tweets. Journal of Ambient Intelligence and Humanized Computing 2023;14(11):14661 View
  41. Kahanek A, Yu X, Hong L, Cleveland A, Philbrick J. Temporal Variations and Spatial Disparities in Public Sentiment Toward COVID-19 and Preventive Practices in the United States: Infodemiology Study of Tweets. JMIR Infodemiology 2021;1(1):e31671 View
  42. Madvig F, Achiam M, Adler-Nissen R, Johansen N, Whiteley L. Coming Closer to Citizens? Frustrated Dialogue on the Danish Health Authority's Facebook Page During COVID-19. Frontiers in Communication 2022;7 View
  43. Bali A, Halbusi H, Ahmad A, Lee K, Lavorgna L. Public engagement in government officials’ posts on social media during coronavirus lockdown. PLOS ONE 2023;18(1):e0280889 View
  44. Chen D, Sun F, Liao Z. Forecasting tourism demand of tourist attractions during the COVID-19 pandemic. Current Issues in Tourism 2024;27(3):445 View
  45. MacKay M, Ford C, Colangeli T, Gillis D, McWhirter J, Papadopoulos A. A content analysis of Canadian influencer crisis messages on Instagram and the public’s response during COVID-19. BMC Public Health 2022;22(1) View
  46. Rahman M, Khan N, Sarker I, Ahmed M, Islam M. Leveraging machine learning to analyze sentiment from COVID‐19 tweets: A global perspective. Engineering Reports 2023;5(3) View
  47. Fattoh I, Kamal Alsheref F, Ead W, Youssef A, Alonso-Betanzos A. Semantic Sentiment Classification for COVID-19 Tweets Using Universal Sentence Encoder. Computational Intelligence and Neuroscience 2022;2022:1 View
  48. Melissa M, Jillian J, Jennifer E, Daniel G, Andrew P. Review and thematic analysis of guiding principles for effective crisis communication using social media. Journal of Public Health and Epidemiology 2022;14(2):72 View
  49. Correia A. Atividade das Unidades de Saúde Familiares da Área Metropolitana do Porto no Facebook em ano de COVID-19. Revista Brasileira de Medicina de Família e Comunidade 2022;17(44):2931 View
  50. Kayal G, Balfaqih H, Durani F, Akeel H, Abukwaik A, Azudin N. Evaluating the Impact of Verified Government Accounts on the Knowledge, Attitudes, and Intentions of Saudi Residents During the COVID-19 Pandemic. International Journal of Electronic Government Research 2021;18(1):1 View
  51. Lorenzoni V, Andreozzi G, Bazzani A, Casigliani V, Pirri S, Tavoschi L, Turchetti G. How Italy Tweeted about COVID-19: Detecting Reactions to the Pandemic from Social Media. International Journal of Environmental Research and Public Health 2022;19(13):7785 View
  52. Mello S, Glowacki E, Fuentes I, Seabolt J. Communicating COVID-19 Risk on Instagram: A Content Analysis of Official Public Health Messaging During the First Year of the Pandemic. Journal of Health Communication 2023;28(1):38 View
  53. Giammusso I, Aquino A, Alparone F, Mirisola A. The matching effect in persuasive communication about lockdown. Frontiers in Psychology 2022;13 View
  54. Chen Y, Zhang Z. An easy numeric data augmentation method for early-stage COVID-19 tweets exploration of participatory dynamics of public attention and news coverage. Information Processing & Management 2022;59(6):103073 View
  55. Whitesell A, Fitch H. Using Social Media to Promote School Nutrition Programs During the COVID‐19 Pandemic. Journal of School Health 2022;92(5):485 View
  56. Sukhwal P, Kankanhalli A. Determining containment policy impacts on public sentiment during the pandemic using social media data. Proceedings of the National Academy of Sciences 2022;119(19) View
  57. Wankhade M, Rao A. Opinion analysis and aspect understanding during covid-19 pandemic using BERT-Bi-LSTM ensemble method. Scientific Reports 2022;12(1) View
  58. Deveci S, Cevik C, Baydur H, Onsuz F, Tosun S, Ergor A. Validity and Reliability of the COVID-19 Knowledge, Attitude and Behavior Scale. Vaccines 2023;11(2):317 View
  59. Ross A, Edmeade J, Prochnow T. Effectiveness of Disseminating School Physical Activity Information on Facebook during a Pandemic: A Mixed‐Method Analysis. Journal of School Health 2021;91(11):959 View
  60. Smith M, Blakemore J, Ho J, Grifo J. Making it (net)work: a social network analysis of “fertility” in Twitter before and during the COVID-19 pandemic. F&S Reports 2021;2(4):472 View
  61. Tan J, Sesagiri Raamkumar A, Wee H. Digital Support for Renal Patients Before and During the COVID-19 Pandemic: Examining the Efforts of Singapore Social Service Agencies in Facebook. Frontiers in Big Data 2021;4 View
  62. Ye Z, Li R, Wu J. Dynamic Demand Evaluation of COVID-19 Medical Facilities in Wuhan Based on Public Sentiment. International Journal of Environmental Research and Public Health 2022;19(12):7045 View
  63. Fontenla-Pedreira J, Maiz-Bar C, Rodríguez-Martelo T. Use of Twitter during Televised Election Debates: Spanish General Election (28 April 2019) vs. French General Election (24 April 2022). Societies 2023;13(3):70 View
  64. Evans S, Jones R, Alkan E, Sichman J, Haque A, de Oliveira F, Mougouei D, Yan Z. The Emotional Impact of COVID-19 News Reporting: A Longitudinal Study Using Natural Language Processing. Human Behavior and Emerging Technologies 2023;2023:1 View
  65. Muitana G, Amato C. Topics, concerns, and feelings commented on Facebook after the first death by COVID-19 in Mozambique. Revista de Investigación e Innovación en Ciencias de la Salud 2023;5(1):press View
  66. Yin M, Chen S, Pan X, Lu C, Lin X, Wang M, Ni J. Effects of Chinese provincial CDCs WeChat official account article features on user engagement during the COVID-19 pandemic. Journal of Global Health 2023;13 View
  67. Wang B, Zhang Y, Ji S, Zhang B, Wang X, Zhang J. A COVID-19 Detection Model Based on Convolutional Neural Network and Residual Learning. Computers, Materials & Continua 2023;75(2):3625 View
  68. Tagliacozzo S, Albrecht F, Ganapati N. Public agencies tweeting the COVID-19 pandemic: cross-country comparison of must have and forgotten communication topics. Frontiers in Communication 2023;8 View
  69. MacKay M, Li Y, Papadopoulos A, McWhirter J. Overview of the Health Communication Curriculum in Canadian Master of Public Health Programs. Journal of Public Health Management and Practice 2023;29(6):906 View
  70. Stefanis C, Giorgi E, Kalentzis K, Tselemponis A, Nena E, Tsigalou C, Kontogiorgis C, Kourkoutas Y, Chatzak E, Dokas I, Constantinidis T, Bezirtzoglou E. Sentiment analysis of epidemiological surveillance reports on COVID-19 in Greece using machine learning models. Frontiers in Public Health 2023;11 View
  71. Ndejjo R, Kabwama S, Namale A, Tusubira A, Wanyana I, Kizito S, Kiwanuka S, Wanyenze R. Harnessing digital technology for COVID-19 response in Uganda: lessons and implications for future public health emergencies. BMJ Global Health 2023;8(Suppl 6):e013288 View
  72. Balogun B, Hogden A, Kemp N, Yang L, Agaliotis M. Public health agencies’ use of social media for communication during pandemics: a scoping review of the literature. Osong Public Health and Research Perspectives 2023;14(4):235 View
  73. Hohl A, Choi M, Medina R, Wan N, Wen M. COVID-19: adverse population sentiment and place-based associations with socioeconomic and demographic factors. Spatial Information Research 2024;32(1):73 View
  74. Sreevalsan-Nair J, Mubayi A, Chhabra J, Vangimalla R, Ghogale P. Evaluating early pandemic response through length-of-stay analysis of case logs and epidemiological modeling: A case study of Singapore in early 2020. Computational and Mathematical Biophysics 2023;11(1) View
  75. Wang H, Li Y, Ning X. News Coverage of COVID-19 on Social Media and Public’s Negative Emotions: A Computational Study (Preprint). Journal of Medical Internet Research 2023 View

Books/Policy Documents

  1. Alsalmi J, Shehata A. Mass Communications and the Influence of Information During Times of Crises. View
  2. . COVID-19 and the Media in Sub-Saharan Africa: Media Viability, Framing and Health Communication. View
  3. Ünlü-Yücesoy E, Sivrikaya Ö, Argın G, İnce B, Salah A. Local Government and the COVID-19 Pandemic. View
  4. Suswanta , Setiawan A. Proceedings of the International Conference on Sustainable Innovation on Humanities, Education, and Social Sciences (ICOSI-HESS 2022). View
  5. Joshi P, Gupta O, Pant M, Raina K, Sharma B. Proceedings of International Conference on Paradigms of Communication, Computing and Data Analytics. View
  6. Omer S, O’Leary S, Danchin M. Plotkin's Vaccines. View
  7. Comito C. Artificial Intelligence in Healthcare and COVID-19. View
  8. Radwan E, Alattar E, Radwan A, Jebreen K. Communicating COVID-19. View