Biases in using social media data for public health surveillance: A scoping review-Reference-Cited by-同舟云学术

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Biases in using social media data for public health surveillance: A scoping review

Published:2022-08 Issue: Volume:164 Page:104804
ISSN:1386-5056
Container-title:International Journal of Medical Informatics
language:en
Short-container-title:International Journal of Medical Informatics

Author:

Zhao Yunpeng,He Xing,Feng Zheng,Bost Sarah,Prosperi Mattia,Wu Yonghui,Guo Yi,Bian Jiang

Funder

National Science Foundation

Centers for Disease Control and Prevention

NSF

Publisher

Elsevier BV

Subject

Health Informatics

Reference70 articles.

1. Bian J, Zhao Y, Salloum RG, Guo Y, Wang M, Prosperi M, Zhang H, Du X, Ramirez-Diaz LJ, He Z, Sun Y. Using Social Media Data to Understand the Impact of Promotional Information on Laypeople’s Discussions: A Case Study of Lynch Syndrome. J Med Internet Res [Internet]. 2017 Dec 13;19(12):e414. Available from: http://dx.doi.org/10.2196/jmir.9266.

2. Tomeny TS, Vargo CJ, El-Toukhy S. Geographic and Demographic Correlates of Autism-Related Anti-Vaccine Beliefs on Twitter, 2009–15. Soc Sci Med [Internet]. 2017 Oct;191:168–175. Available from: http://dx.doi.org/10.1016/j.socscimed.2017.08.041 PMID: 28926775.

3. Social Media– and Internet-Based Disease Surveillance for Public Health;Aiello;Annu. Rev. Public Health,2020

4. Using Social Media for Actionable Disease Surveillance and Outbreak Management: A Systematic Literature Review;Charles-Smith;Braunstein LA, editor. PLoS ONE [Internet].,2015

5. Social media and pharmacovigilance: A review of the opportunities and challenges: Social media and pharmacovigilance;Sloane;Br J Clin Pharmacol,2015

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