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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. 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
  2. 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
  3. 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
  4. Chen T, Dredze M. Vaccine Images on Twitter: Analysis of What Images are Shared. Journal of Medical Internet Research 2018;20(4):e130
    CrossRef
  5. 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
  6. Jia S. Leisure Motivation and Satisfaction: A Text Mining of Yoga Centres, Yoga Consumers, and Their Interactions. Sustainability 2018;10(12):4458
    CrossRef
  7. 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
  8. 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
  9. 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
  10. 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
  11. Daughton AR, Paul MJ. Identifying Protective Health Behaviors on Twitter: Observational Study of Travel Advisories and Zika Virus (Preprint). Journal of Medical Internet Research 2018;
    CrossRef
  12. 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
  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 2017;:146045821774072
    CrossRef
  14. Paul MJ, Dredze M. Social Monitoring for Public Health. Synthesis Lectures on Information Concepts, Retrieval, and Services 2017;9(5):1
    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. 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
  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