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Citing this Article

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Published on 20.04.17 in Vol 3, No 2 (2017): Apr-Jun

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

Works citing "Zika in Twitter: Temporal Variations of Locations, Actors, and Concepts"

According to Crossref, the following articles are citing this article (DOI 10.2196/publichealth.6925):

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

  1. Yuan X, Schuchard RJ, Crooks AT. Examining Emergent Communities and Social Bots Within the Polarized Online Vaccination Debate in Twitter. Social Media + Society 2019;5(3):205630511986546
    CrossRef
  2. Doan S, Yang EW, Tilak SS, Li PW, Zisook DS, Torii M. Extracting health-related causality from twitter messages using natural language processing. BMC Medical Informatics and Decision Making 2019;19(S3)
    CrossRef
  3. 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
  4. 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
  5. 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
  6. Lopez BE, Magliocca NR, Crooks AT. Challenges and Opportunities of Social Media Data for Socio-Environmental Systems Research. Land 2019;8(7):107
    CrossRef
  7. Leis A, Ronzano F, Mayer MA, Furlong LI, Sanz F. Detecting Signs of Depression in Tweets in Spanish: Behavioral and Linguistic Analysis. Journal of Medical Internet Research 2019;21(6):e14199
    CrossRef
  8. Burger , Oz , Kennedy , Crooks . Computational Social Science of Disasters: Opportunities and Challenges. Future Internet 2019;11(5):103
    CrossRef
  9. Curry T, Croitoru A, Crooks A, Stefanidis A. Exodus 2.0: crowdsourcing geographical and social trails of mass migration. Journal of Geographical Systems 2019;21(1):161
    CrossRef
  10. 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 2019;
    CrossRef
  11. Litchman ML, Wawrzynski SE, Woodruff WS, Arrington JB, Nguyen QC, Gee PM. Continuous Glucose Monitoring in the Real World Using Photosurveillance of #Dexcom on Instagram: Exploratory Mixed Methods Study. JMIR Public Health and Surveillance 2019;5(2):e11024
    CrossRef
  12. Fung IC, Jackson AM, Mullican LA, Blankenship EB, Goff ME, Guinn AJ, Saroha N, Tse ZTH. Contents, Followers, and Retweets of the Centers for Disease Control and Prevention’s Office of Advanced Molecular Detection (@CDC_AMD) Twitter Profile: Cross-Sectional Study. JMIR Public Health and Surveillance 2018;4(2):e33
    CrossRef
  13. Plaster AN, Painter JE, Tjersland DH, Jacobsen KH. University Students’ Knowledge, Attitudes, and Sources of Information About Zika Virus. Journal of Community Health 2018;43(4):647
    CrossRef
  14. Yasri S, Wiwanitkit V. Virtual Zika transmission and spread on Twitter. American Journal of Infection Control 2018;46(7):850
    CrossRef
  15. Aschwanden A, Demir C, Hinselmann R, Kasser S, Rohrer A. Zika and travel: Public health implications and communications for blood donors, sperm donors and pregnant women. Travel Medicine and Infectious Disease 2018;21:77
    CrossRef
  16. 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
  17. Hu Y. Geo-text data and data-driven geospatial semantics. Geography Compass 2018;12(11):e12404
    CrossRef
  18. 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
  19. 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
  20. Xu X, Litchman ML, Gee PM, Whatcott W, Chacon L, Holmes J, Srinivasan SS. Predicting Prediabetes Through Facebook Postings: Protocol for a Mixed-Methods Study. JMIR Research Protocols 2018;7(12):e10720
    CrossRef
  21. Vijaykumar S, Nowak G, Himelboim I, Jin Y. Virtual Zika transmission after the first U.S. case: who said what and how it spread on Twitter. American Journal of Infection Control 2018;46(5):549
    CrossRef
  22. Vraga EK, Bode L. Using Expert Sources to Correct Health Misinformation in Social Media. Science Communication 2017;39(5):621
    CrossRef
  23. Paul MJ, Dredze M. Social Monitoring for Public Health. Synthesis Lectures on Information Concepts, Retrieval, and Services 2017;9(5):1
    CrossRef
  24. 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