Published on in Vol 23, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30854, first published .
Revealing Public Opinion Towards COVID-19 Vaccines With Twitter Data in the United States: Spatiotemporal Perspective

Revealing Public Opinion Towards COVID-19 Vaccines With Twitter Data in the United States: Spatiotemporal Perspective

Revealing Public Opinion Towards COVID-19 Vaccines With Twitter Data in the United States: Spatiotemporal Perspective

Journals

  1. Hong Y, Xie F, An X, Lan X, Liu C, Yan L, Zhang H. Evolution of Public Attitudes and Opinions Regarding COVID-19 Vaccination During the Vaccine Campaign in China: Year-Long Infodemiology Study of Weibo Posts. Journal of Medical Internet Research 2023;25:e42671 View
  2. Chen Y, Lin Y, Chang Y, Chou W, Yen C. Differences in Sources of Information, Risk Perception, and Cognitive Appraisals between People with Various Latent Classes of Motivation to Get Vaccinated against COVID-19 and Previous Seasonal Influenza Vaccination: Facebook Survey Study with Latent Profile Analysis in Taiwan. Vaccines 2021;9(10):1203 View
  3. Alhuzali H, Zhang T, Ananiadou S. Emotions and Topics Expressed on Twitter During the COVID-19 Pandemic in the United Kingdom: Comparative Geolocation and Text Mining Analysis. Journal of Medical Internet Research 2022;24(10):e40323 View
  4. Hsu J, Tsai R. Increased Online Aggression During COVID-19 Lockdowns: Two-Stage Study of Deep Text Mining and Difference-in-Differences Analysis. Journal of Medical Internet Research 2022;24(8):e38776 View
  5. 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
  6. 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
  7. Zhu J, Weng F, Zhuang M, Lu X, Tan X, Lin S, Zhang R. Revealing Public Opinion towards the COVID-19 Vaccine with Weibo Data in China: BertFDA-Based Model. International Journal of Environmental Research and Public Health 2022;19(20):13248 View
  8. 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
  9. Gao Z, Wang S, Gu J, Gu C, Liu R. A community-level study on COVID-19 transmission and policy interventions in Wuhan, China. Cities 2022;127:103745 View
  10. Alhazmi H. Arabic Twitter Conversation Dataset about the COVID-19 Vaccine. Data 2022;7(11):152 View
  11. Zhou Y, Li R, Shen L. Targeting COVID-19 vaccine-hesitancy in college students: An audience-centered approach. Journal of American College Health 2023:1 View
  12. Hwang J, Su M, Jiang X, Lian R, Tveleneva A, Shah D, Sasahara K. Vaccine discourse during the onset of the COVID-19 pandemic: Topical structure and source patterns informing efforts to combat vaccine hesitancy. PLOS ONE 2022;17(7):e0271394 View
  13. Wang S, Zhang M, Huang X, Hu T, Li Z, Sun Q, Liu Y. Urban-regional disparities in mental health signals in Australia during the COVID-19 pandemic: a study via Twitter data and machine learning models. Cambridge Journal of Regions, Economy and Society 2022;15(3):663 View
  14. Ljajić A, Prodanović N, Medvecki D, Bašaragin B, Mitrović J. Uncovering the Reasons Behind COVID-19 Vaccine Hesitancy in Serbia: Sentiment-Based Topic Modeling. Journal of Medical Internet Research 2022;24(11):e42261 View
  15. Xu N, Lin Q, Hu H, Li Y. The effect from elimination mechanism on information diffusion on entertainment programs in Weibo. Frontiers in Physics 2022;10 View
  16. Park S, Suh Y. A Comprehensive Analysis of COVID-19 Vaccine Discourse by Vaccine Brand on Twitter in Korea: Topic and Sentiment Analysis. Journal of Medical Internet Research 2023;25:e42623 View
  17. Hayawi K, Shahriar S, Serhani M, Taleb I, Mathew S. ANTi-Vax: a novel Twitter dataset for COVID-19 vaccine misinformation detection. Public Health 2022;203:23 View
  18. Hu S, Xiong C, Li Q, Wang Z, Jiang Y. COVID-19 vaccine hesitancy cannot fully explain disparities in vaccination coverage across the contiguous United States. Vaccine 2022;40(37):5471 View
  19. Choi Y, Lee J, Paek S. Public Awareness and Sentiment toward COVID-19 Vaccination in South Korea: Findings from Big Data Analytics. International Journal of Environmental Research and Public Health 2022;19(16):9914 View
  20. Yang G, Wang Z, Chen L. Investigating the Public Sentiment in Major Public Emergencies Through the Complex Networks Method: A Case Study of COVID-19 Epidemic. Frontiers in Public Health 2022;10 View
  21. Chandrasekaran R, Desai R, Shah H, Kumar V, Moustakas E. Examining Public Sentiments and Attitudes Toward COVID-19 Vaccination: Infoveillance Study Using Twitter Posts. JMIR Infodemiology 2022;2(1):e33909 View
  22. Wang S, Huang X, Hu T, Zhang M, Li Z, Ning H, Corcoran J, Khan A, Liu Y, Zhang J, Li X. The times, they are a-changin’: tracking shifts in mental health signals from early phase to later phase of the COVID-19 pandemic in Australia. BMJ Global Health 2022;7(1):e007081 View
  23. Mir A, Sevukan R. Sentiment analysis of Indian Tweets about Covid-19 vaccines. Journal of Information Science 2024;50(5):1308 View
  24. Yin J. Media Data and Vaccine Hesitancy: Scoping Review. JMIR Infodemiology 2022;2(2):e37300 View
  25. Xavier T, Lambert J. Sentiment and emotion trends in nurses' tweets about the COVID‐19 pandemic. Journal of Nursing Scholarship 2022;54(5):613 View
  26. Wu L, Peng Q, Lemke M, Hu T, Gong X. Spatial social network research: a bibliometric analysis. Computational Urban Science 2022;2(1) View
  27. 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
  28. Jang D, Lee B. When Machine Learning Meets Social Science: A Comparative Study of Ordinary Least Square, Stochastic Gradient Descent, and Support Vector Regression for Exploring the Determinants of Behavioral Intentions to Tuberculosis Screening. Asian Communication Research 2022;19(3):101 View
  29. Huang X, Wang S, Zhang M, Hu T, Hohl A, She B, Gong X, Li J, Liu X, Gruebner O, Liu R, Li X, Liu Z, Ye X, Li Z. Social media mining under the COVID-19 context: Progress, challenges, and opportunities. International Journal of Applied Earth Observation and Geoinformation 2022;113:102967 View
  30. Zang S, Zhang X, Xing Y, Chen J, Lin L, Hou Z. Applications of Social Media and Digital Technologies in COVID-19 Vaccination: Scoping Review. Journal of Medical Internet Research 2023;25:e40057 View
  31. Chen Y, Li Y, Wang Z, Quintero A, Yang C, Ji W. Rapid Perception of Public Opinion in Emergency Events through Social Media. Natural Hazards Review 2022;23(2) View
  32. Jusup M, Holme P, Kanazawa K, Takayasu M, Romić I, Wang Z, Geček S, Lipić T, Podobnik B, Wang L, Luo W, Klanjšček T, Fan J, Boccaletti S, Perc M. Social physics. Physics Reports 2022;948:1 View
  33. FUKUDA S, NANBA H, SHOJI H. An Analysis of People’s Emotional Change Toward Vaccines and Its Factors in the Corona Disaster. Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 2022;34(3):592 View
  34. Jing F, Li Z, Qiao S, Zhang J, Olatosi B, Li X. Using geospatial social media data for infectious disease studies: a systematic review. International Journal of Digital Earth 2023;16(1):130 View
  35. Sauvayre R, Vernier J, Chauvière C. An Analysis of French-Language Tweets About COVID-19 Vaccines: Supervised Learning Approach. JMIR Medical Informatics 2022;10(5):e37831 View
  36. Cascini F, Pantovic A, Al-Ajlouni Y, Failla G, Puleo V, Melnyk A, Lontano A, Ricciardi W. Social media and attitudes towards a COVID-19 vaccination: A systematic review of the literature. eClinicalMedicine 2022;48:101454 View
  37. Yin F, Crooks A, Yin L. Information propagation on cyber, relational and physical spaces about covid-19 vaccine: Using social media and splatial framework. Computers, Environment and Urban Systems 2022;98:101887 View
  38. Tian B, Meng B, Wang J, Zhi G, Qi Z, Chen S, Liu J. Spatio-Temporal Patterns of Fitness Behavior in Beijing Based on Social Media Data. Sustainability 2022;14(7):4106 View
  39. Chen Q, Crooks A. Analyzing the vaccination debate in social media data Pre- and Post-COVID-19 pandemic. International Journal of Applied Earth Observation and Geoinformation 2022;110:102783 View
  40. Agrawal A, Kuriakose P. Implications of a Twitter data-centred methodology for assessing commuters’ perceptions of the Delhi metro in India. Computational Urban Science 2022;2(1) View
  41. Zhou Y, Li R, Shen L. Psychological profiles of COVID vaccine-hesitant individuals and implications for vaccine message design strategies. Vaccine: X 2023;13:100279 View
  42. Kwon S, Park A. Examining thematic and emotional differences across Twitter, Reddit, and YouTube: The case of COVID-19 vaccine side effects. Computers in Human Behavior 2023;144:107734 View
  43. Catelli R, Pelosi S, Comito C, Pizzuti C, Esposito M. Lexicon-based sentiment analysis to detect opinions and attitude towards COVID-19 vaccines on Twitter in Italy. Computers in Biology and Medicine 2023;158:106876 View
  44. Prada E, Langbecker A, Catalan-Matamoros D. Public discourse and debate about vaccines in the midst of the covid-19 pandemic: A qualitative content analysis of Twitter. Vaccine 2023;41(20):3196 View
  45. Li T, Zeng Z, Sun S, Sun J, Li Q. Constructing a multi-layer heterogeneous networks model to explore the public opinion evolution pattern of key users in public health emergencies. Journal of Information Science 2023 View
  46. Mitchell S, Beanlands J. “The mask is not for you” : A framing analysis of pro- and anti-mask sentiment on Twitter. Health & New Media Research 2022;6(1):3 View
  47. Su M, Cheng D, Xu Y, Weng F. An improved BERT method for the evolution of network public opinion of major infectious diseases: Case Study of COVID-19. Expert Systems with Applications 2023;233:120938 View
  48. Kumar V, Bhattacharyya S. Nonlinear effect of sentiments and opinion sharing on vaccination decision in face of an outbreak: A multiplex network approach. Chaos, Solitons & Fractals 2023;175:114014 View
  49. 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
  50. Rathke B, Yu H, Huang H. What Remains Now That the Fear Has Passed? Developmental Trajectory Analysis of COVID-19 Pandemic for Co-occurrences of Twitter, Google Trends, and Public Health Data. Disaster Medicine and Public Health Preparedness 2023;17 View
  51. Kahraman E, Demirel S, Gündüz U. COVID-19 vaccines in twitter ecosystem: Analyzing perceptions and attitudes by sentiment and text analysis method. Journal of Public Health 2023 View
  52. Thakur N. Sentiment Analysis and Text Analysis of the Public Discourse on Twitter about COVID-19 and MPox. Big Data and Cognitive Computing 2023;7(2):116 View
  53. Tang M, Heung Y, Fellman B, Bruera E. Frequency of vaccine hesitancy among patients with advanced cancer. Palliative and Supportive Care 2023:1 View
  54. Lin L, Lin C, Kuan C, Chiou H. Potential Determinants Contributing to COVID-19 Vaccine Acceptance and Hesitancy in Taiwan: Rapid Qualitative Mixed Methods Study. JMIR Formative Research 2023;7:e41364 View
  55. Wamba S, Guthrie C, Queiroz M, Twinomurinzi H. Digital Technologies and COVID-19 Vaccine Acceptance. Journal of Global Information Management 2023;31(1):1 View
  56. Faizah , Lin B. Visualizing Change and Correlation of Topics With LDA and Agglomerative Clustering on COVID-19 Vaccine Tweets. IEEE Access 2023;11:51647 View
  57. Küçük D, Arıcı N. Deep Learning-Based Sentiment and Stance Analysis of Tweets About Vaccination. International Journal on Semantic Web and Information Systems 2023;19(1):1 View
  58. Baker M, Utku A. Unraveling user perceptions and biases: A comparative study of ML and DL models for exploring twitter sentiments towards ChatGPT. Journal of Engineering Research 2023 View
  59. Lu M, Ali M, Zhang W, Kumar N. Mediation analysis of public emotions in response to policy implementation performance during crises: the case of COVID-19 management policies in the UK. Public Management Review 2024;26(8):2499 View
  60. Luo W, Liu Q, Zhou Y, Ran Y, Liu Z, Hou W, Pei S, Lai S. Spatiotemporal variations of “triple-demic” outbreaks of respiratory infections in the United States in the post-COVID-19 era. BMC Public Health 2023;23(1) View
  61. Hosseinian K, Davis S, Agustines D, Woo B. Letter to the Editor: Perspectives and experiences of COVID-19 vaccination in people with autoimmune and inflammatory rheumatic disease. Patient Education and Counseling 2023:108122 View
  62. Foroutan E, Hu T, Zhang F, Yu H. Assessing heat vulnerability in Philadelphia using geographically weighted principal component analysis (GWPCA): A geospatial big data-driven approach. International Journal of Applied Earth Observation and Geoinformation 2024;127:103653 View
  63. Huang X, Wang S, Yang D, Hu T, Chen M, Zhang M, Zhang G, Biljecki F, Lu T, Zou L, Wu C, Park Y, Li X, Liu Y, Fan H, Mitchell J, Li Z, Hohl A. Crowdsourcing Geospatial Data for Earth and Human Observations: A Review. Journal of Remote Sensing 2024;4 View
  64. Yin S, Chen S, Ge Y. Dynamic Associations Between Centers for Disease Control and Prevention Social Media Contents and Epidemic Measures During COVID-19: Infoveillance Study. JMIR Infodemiology 2024;4:e49756 View
  65. Guo F, Liu Z, Lu Q, Ji S, Zhang C. Public Opinion About COVID-19 on a Microblog Platform in China: Topic Modeling and Multidimensional Sentiment Analysis of Social Media. Journal of Medical Internet Research 2024;26:e47508 View
  66. Gyftopoulos S, Drosatos G, Fico G, Pecchia L, Kaldoudi E. Analysis of Pharmaceutical Companies’ Social Media Activity during the COVID-19 Pandemic and Its Impact on the Public. Behavioral Sciences 2024;14(2):128 View
  67. Liu Q, Son H, Lee W. The game of lies by stock investors in social media: a study based on city lockdowns in China. Financial Innovation 2024;10(1) View
  68. Singh P, Lamsal R, Singh M, Shishodia B, Sitaula C, Chand S. GeoCovaxTweets: A global analysis of COVID-19 vaccines and vaccination discourse on social media. Journal of Intelligent & Fuzzy Systems 2024:1 View
  69. Pan C, Wu Y, Wang S, Wang J, Chapman M, Zhang L, Li S. Pandemic fatigue? Insights from geotagged tweets on the spatiotemporal evolution of mental health in Canadian cities during COVID-19. Cities 2024;151:105100 View
  70. Wu D, Shead H, Ren Y, Raynor P, Tao Y, Villanueva H, Hung P, Li X, Brookshire R, Eichelberger K, Guille C, Litwin A, Olatosi B. Uncovering the Complexity of Perinatal Polysubstance Use Disclosure Patterns on X: Mixed Methods Study. Journal of Medical Internet Research 2024;26:e53171 View
  71. Chinyanga E, Britwum K, Gustafson C, Bernard J. Did COVID-19 influence fruit and vegetable consumption? Explaining and comparing pandemic peak and post-peak periods. Appetite 2024;201:107574 View
  72. Liu C, Tian Y, Shi Y, Huang Z, Shao Y. An analysis of public topics and sentiments based on social media during the COVID-19 Omicron Variant outbreak in Shanghai 2022. Computational Urban Science 2024;4(1) View
  73. Du Y, Cheng H, Liu Q, Tan S. The delayed and combinatorial response of online public opinion to the real world: An inquiry into news texts during the COVID-19 era. Humanities and Social Sciences Communications 2024;11(1) View
  74. Paradise Vit A, Magid A. Differences in Fear and Negativity Levels Between Formal and Informal Health-Related Websites: Analysis of Sentiments and Emotions. Journal of Medical Internet Research 2024;26:e55151 View
  75. Anino C, Sanga P, Laar A. Usage of social media and Covid 19 vaccine hesitancy among medical students in Kericho County. PLOS Global Public Health 2024;4(8):e0003529 View
  76. Cross F, Esqueda A, Ku C, Hunt R, Lucio J, Williams C, Bailey S, Williamson S, Marsh E, Resnicow K. “Life as We Knew It”: Continued Challenges in Getting Up-to-Date COVID-19 Vaccinations Amongst Black and Latinx Michigan Residents. Journal of Racial and Ethnic Health Disparities 2024 View
  77. AbuRaed A, Prikryl E, Carenini G, Janjua N. Long COVID Discourse in Canada, the US, and Europe: Analysis Using Topic Modeling and Sentiment Analysis on Twitter Data (Preprint). Journal of Medical Internet Research 2024 View

Books/Policy Documents

  1. Kapoteli E, Chouliara V, Koukaras P, Tjortjis C. Artificial Intelligence and Machine Learning for Healthcare. View
  2. Siewert S, Kieslich K, Braun M, Dabrock P. Synthetic Biology and the Question of Public Participation. View
  3. Hu T, Huang X, Wang S. Actionable Science of Global Environment Change. View
  4. Chen I, Chen Y, Tsai D. Ethical Innovation for Global Health. View
  5. Okeya-Olayinka A. Public Health Communication Challenges to Minority and Indigenous Communities. View