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Published on 27.07.15 in Vol 1, No 2 (2015): Jul-Dec

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

Works citing "Identifying Adverse Effects of HIV Drug Treatment and Associated Sentiments Using Twitter"

According to Crossref, the following articles are citing this article (DOI 10.2196/publichealth.4488):

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

  1. Fagherazzi G, Ravaud P. Digital diabetes: Perspectives for diabetes prevention, management and research. Diabetes & Metabolism 2018;
    CrossRef
  2. Convertino I, Ferraro S, Blandizzi C, Tuccori M. The usefulness of listening social media for pharmacovigilance purposes: a systematic review. Expert Opinion on Drug Safety 2018;17(11):1081
    CrossRef
  3. 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
  4. Lardon J, Bellet F, Aboukhamis R, Asfari H, Souvignet J, Jaulent M, Beyens M, Lillo-LeLouët A, Bousquet C. Evaluating Twitter as a complementary data source for pharmacovigilance. Expert Opinion on Drug Safety 2018;17(8):763
    CrossRef
  5. Chan MS, Lohmann S, Morales A, Zhai C, Ungar L, Holtgrave DR, Albarracín D. An Online Risk Index for the Cross-Sectional Prediction of New HIV Chlamydia, and Gonorrhea Diagnoses Across U.S. Counties and Across Years. AIDS and Behavior 2018;22(7):2322
    CrossRef
  6. Bousquet C, Dahamna B, Guillemin-Lanne S, Darmoni SJ, Faviez C, Huot C, Katsahian S, Leroux V, Pereira S, Richard C, Schück S, Souvignet J, Lillo-Le Louët A, Texier N. The Adverse Drug Reactions from Patient Reports in Social Media Project: Five Major Challenges to Overcome to Operationalize Analysis and Efficiently Support Pharmacovigilance Process. JMIR Research Protocols 2017;6(9):e179
    CrossRef
  7. Mackey TK, Nayyar G. A review of existing and emerging digital technologies to combat the global trade in fake medicines. Expert Opinion on Drug Safety 2017;16(5):587
    CrossRef
  8. Kim Y, Huang J, Emery S. Garbage in, Garbage Out: Data Collection, Quality Assessment and Reporting Standards for Social Media Data Use in Health Research, Infodemiology and Digital Disease Detection. Journal of Medical Internet Research 2016;18(2):e41
    CrossRef
  9. Salathé M. Digital Pharmacovigilance and Disease Surveillance: Combining Traditional and Big-Data Systems for Better Public Health. Journal of Infectious Diseases 2016;214(suppl 4):S399
    CrossRef
  10. Roberts K, Boland MR, Pruinelli L, Dcruz J, Berry A, Georgsson M, Hazen R, Sarmiento RF, Backonja U, Yu K, Jiang Y, Brennan PF. Biomedical informatics advancing the national health agenda: the AMIA 2015 year-in-review in clinical and consumer informatics. Journal of the American Medical Informatics Association 2016;:ocw103
    CrossRef
  11. Ocampo JMF, Smart J, Allston A, Bhattacharjee R, Boggavarapu S, Carter S, Castel AD, Collmann J, Flynn C, Hamp A, Jordan D, Kassaye S, Kharfen M, Lum G, Pemmaraju R, Rhodes A, Stover J, Young MA. Improving HIV Surveillance Data for Public Health Action in Washington, DC: A Novel Multiorganizational Data-Sharing Method. JMIR Public Health and Surveillance 2016;2(1):e3
    CrossRef
  12. Radzikowski J, Stefanidis A, Jacobsen KH, Croitoru A, Crooks A, Delamater PL. The Measles Vaccination Narrative in Twitter: A Quantitative Analysis. JMIR Public Health and Surveillance 2016;2(1):e1
    CrossRef
  13. Katsuki T, Mackey TK, Cuomo R. Establishing a Link Between Prescription Drug Abuse and Illicit Online Pharmacies: Analysis of Twitter Data. Journal of Medical Internet Research 2015;17(12):e280
    CrossRef