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Citing this Article

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Published on 19.06.17 in Vol 3, No 2 (2017): Apr-Jun

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

Works citing "What Are People Tweeting About Zika? An Exploratory Study Concerning Its Symptoms, Treatment, Transmission, and Prevention"

According to Crossref, the following articles are citing this article (DOI 10.2196/publichealth.7157):

(note that this is only a small subset of citations)

  1. Jia S. Leisure Motivation and Satisfaction: A Text Mining of Yoga Centres, Yoga Consumers, and Their Interactions. Sustainability 2018;10(12):4458
    CrossRef
  2. Khatua A, Khatua A, Cambria E. A tale of two epidemics: Contextual Word2Vec for classifying twitter streams during outbreaks. Information Processing & Management 2019;56(1):247
    CrossRef
  3. Jia S. Motivation and satisfaction of Chinese and U.S. tourists in restaurants: A cross-cultural text mining of online reviews. Tourism Management 2020;78:104071
    CrossRef
  4. López-Goñi I, Sánchez-Angulo M. Social networks as a tool for science communication and public engagement: focus on Twitter. FEMS Microbiology Letters 2018;365(2)
    CrossRef
  5. Gianfredi V, Bragazzi NL, Nucci D, Martini M, Rosselli R, Minelli L, Moretti M. Harnessing Big Data for Communicable Tropical and Sub-Tropical Disorders: Implications From a Systematic Review of the Literature. Frontiers in Public Health 2018;6
    CrossRef
  6. Chang Y, Chiang W, Wang W, Lin C, Hung L, Tsai Y, Chen Y. Assessing Epidemic Diseases and Public Opinion through Popular Search Behavior Using Non-English Language Google Trends (Preprint). JMIR Public Health and Surveillance 2018;
    CrossRef
  7. Saura JR, Reyes-Menendez A, Thomas SB. Gaining a deeper understanding of nutrition using social networks and user-generated content. Internet Interventions 2020;20:100312
    CrossRef
  8. Mamidi R, Miller M, Banerjee T, Romine W, Sheth A. Identifying Key Topics Bearing Negative Sentiment on Twitter: Insights Concerning the 2015-2016 Zika Epidemic. JMIR Public Health and Surveillance 2019;5(2):e11036
    CrossRef
  9. Cook N, Mullins A, Gautam R, Medi S, Prince C, Tyagi N, Kommineni J. Evaluating Patient Experiences in Dry Eye Disease Through Social Media Listening Research. Ophthalmology and Therapy 2019;8(3):407
    CrossRef
  10. Wang SV, Patterson OV, Gagne JJ, Brown JS, Ball R, Jonsson P, Wright A, Zhou L, Goettsch W, Bate A. Transparent Reporting on Research Using Unstructured Electronic Health Record Data to Generate ‘Real World’ Evidence of Comparative Effectiveness and Safety. Drug Safety 2019;42(11):1297
    CrossRef
  11. Valente PK, Morin C, Roy M, Mercier A, Atlani-Duault L. Sexual transmission of Zika virus on Twitter: A depoliticised epidemic. Global Public Health 2020;:1
    CrossRef
  12. Albalawi Y, Nikolov NS, Buckley J. Trustworthy Health-Related Tweets on Social Media in Saudi Arabia: Tweet Metadata Analysis. Journal of Medical Internet Research 2019;21(10):e14731
    CrossRef
  13. Deiner MS, Fathy C, Kim J, Niemeyer K, Ramirez D, Ackley SF, Liu F, Lietman TM, Porco TC. Facebook and Twitter vaccine sentiment in response to measles outbreaks. Health Informatics Journal 2019;25(3):1116
    CrossRef
  14. Blbas HTA, Aziz KF, Nejad SH, Barzinjy AA. Phenomenon of depression and anxiety related to precautions for prevention among population during the outbreak of COVID-19 in Kurdistan Region of Iraq: based on questionnaire survey. Journal of Public Health 2020;
    CrossRef
  15. Jia S. Toward a better fitness club: Evidence from exerciser online rating and review using latent Dirichlet allocation and support vector machine. International Journal of Market Research 2019;61(1):64
    CrossRef
  16. Herrera-Peco I, de la Torre-Montero JC. Preface of Special Issue “Cares in the Age of Communication: Health Education and Healthy Lifestyles”: Social Media and Health Communication in a Pandemic?. European Journal of Investigation in Health, Psychology and Education 2020;10(2):575
    CrossRef
  17. Krittanawong C, Narasimhan B, Virk HUH, Narasimhan H, Hahn J, Wang Z, Tang WW. Misinformation Dissemination in Twitter in the COVID-19 Era. The American Journal of Medicine 2020;
    CrossRef
  18. Chen T, Dredze M. Vaccine Images on Twitter: Analysis of What Images are Shared. Journal of Medical Internet Research 2018;20(4):e130
    CrossRef
  19. Barata G, Shores K, Alperin JP, Emmert-Streib F. Local chatter or international buzz? Language differences on posts about Zika research on Twitter and Facebook. PLOS ONE 2018;13(1):e0190482
    CrossRef
  20. Pruss D, Fujinuma Y, Daughton AR, Paul MJ, Arnot B, Albers Szafir D, Boyd-Graber J, Xia F. Zika discourse in the Americas: A multilingual topic analysis of Twitter. PLOS ONE 2019;14(5):e0216922
    CrossRef
  21. Safarnejad L, Xu Q, Ge Y, Bagavathi A, Krishnan S, Chen S. Identifying Influential Factors in the Discussion Dynamics of Emerging Health Issues on Social Media: Computational Study. JMIR Public Health and Surveillance 2020;6(3):e17175
    CrossRef
  22. Chen S, Xu Q, Buchenberger J, Bagavathi A, Fair G, Shaikh S, Krishnan S. Dynamics of Health Agency Response and Public Engagement in Public Health Emergency: A Case Study of CDC Tweeting Patterns During the 2016 Zika Epidemic. JMIR Public Health and Surveillance 2018;4(4):e10827
    CrossRef
  23. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206
    CrossRef
  24. Chang Y, Chiang W, Wang W, Lin C, Hung L, Tsai Y, Suen J, Chen Y. Google Trends-based non-English language query data and epidemic diseases: a cross-sectional study of the popular search behaviour in Taiwan. BMJ Open 2020;10(7):e034156
    CrossRef
  25. Barata G, Shores K, Alperin JP. Local Chatter or International Buzz? Language Differences on Posts About Zika Research on Twitter and Facebook. SSRN Electronic Journal 2017;
    CrossRef
  26. Daughton AR, Paul MJ. Identifying Protective Health Behaviors on Twitter: Observational Study of Travel Advisories and Zika Virus. Journal of Medical Internet Research 2019;21(5):e13090
    CrossRef
  27. Zhang J, Chen Y, Zhao Y, Wolfram D, Ma F. Public health and social media: A study of Zika virus‐related posts on Yahoo! Answers. Journal of the Association for Information Science and Technology 2020;71(3):282
    CrossRef
  28. Roy M, Moreau N, Rousseau C, Mercier A, Wilson A, Atlani-Duault L. Ebola and Localized Blame on Social Media: Analysis of Twitter and Facebook Conversations During the 2014–2015 Ebola Epidemic. Culture, Medicine, and Psychiatry 2020;44(1):56
    CrossRef
  29. Park H, Jung H, On J, Park SK, Kang H. Digital Epidemiology: Use of Digital Data Collected for Non-epidemiological Purposes in Epidemiological Studies. Healthcare Informatics Research 2018;24(4):253
    CrossRef
  30. Masri S, Jia J, Li C, Zhou G, Lee M, Yan G, Wu J. Use of Twitter data to improve Zika virus surveillance in the United States during the 2016 epidemic. BMC Public Health 2019;19(1)
    CrossRef
  31. Saura JR, Palos-Sanchez P, Grilo A. Detecting Indicators for Startup Business Success: Sentiment Analysis Using Text Data Mining. Sustainability 2019;11(3):917
    CrossRef
  32. Paul MJ, Dredze M. Social Monitoring for Public Health. Synthesis Lectures on Information Concepts, Retrieval, and Services 2017;9(5):1
    CrossRef
  33. Wicke P, Bolognesi MM, Athanasopoulos P. Framing COVID-19: How we conceptualize and discuss the pandemic on Twitter. PLOS ONE 2020;15(9):e0240010
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/publichealth.7157):

  1. Kho SJ, Padhee S, Bajaj G, Thirunarayan K, Sheth A. Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining. 2019. Chapter 9:233
    CrossRef
  2. da Silva DA, Goncalves GS, dos Santos SC, Pugliese VU, Navas J, de Barros Santana RM, Queiroz FS, Dias LAV, da Cunha AM, Tasinaffo PM. Information Technology – New Generations. 2018. Chapter 34:233
    CrossRef
  3. Sheth A, Purohit H, Smith GA, Brunn J, Jadhav A, Kapanipathi P, Lu C, Wang W. Encyclopedia of Social Network Analysis and Mining. 2017. Chapter 345-1:1
    CrossRef
  4. Sheth A, Purohit H, Smith GA, Brunn J, Jadhav A, Kapanipathi P, Lu C, Wang W. Encyclopedia of Social Network Analysis and Mining. 2018. Chapter 345:3212
    CrossRef