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Lindsay A. Mullican 1 Article
Lyme Disease and YouTubeTM: A Cross-Sectional Study of Video Contents
Corey H. Basch, Lindsay A. Mullican, Kwanza D. Boone, Jingjing Yin, Alyssa Berdnik, Marina E. Eremeeva, Isaac Chun-Hai Fung
Osong Public Health Res Perspect. 2017;8(4):289-292.   Published online August 31, 2017
DOI: https://doi.org/10.24171/j.phrp.2017.8.4.10
  • 4,328 View
  • 31 Download
  • 12 Crossref
AbstractAbstract PDFSupplementary Material
Objectives

Lyme disease is the most common tick-borne disease. People seek health information on Lyme disease from YouTubeTM videos. In this study, we investigated if the contents of Lyme disease-related YouTubeTM videos varied by their sources.

Methods

Most viewed English YouTubeTM videos (n = 100) were identified and manually coded for contents and sources.

Results

Within the sample, 40 videos were consumer-generated, 31 were internet-based news, 16 were professional, and 13 were TV news. Compared with consumer-generated videos, TV news videos were more likely to mention celebrities (odds ratio [OR], 10.57; 95% confidence interval [CI], 2.13–52.58), prevention of Lyme disease through wearing protective clothing (OR, 5.63; 95% CI, 1.23–25.76), and spraying insecticides (OR, 7.71; 95% CI, 1.52–39.05).

Conclusion

A majority of the most popular Lyme disease-related YouTubeTM videos were not created by public health professionals. Responsible reporting and creative video-making facilitate Lyme disease education. Partnership with YouTubeTM celebrities to co-develop educational videos may be a future direction.

Citations

Citations to this article as recorded by  
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  • Experience and knowledge of Lyme disease: A scoping review of patient-provider communication
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  • The Coronavirus Intervention in Ethiopia and the Challenges for Implementation
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  • Lyme disease prevention: A content analysis of Canadian patient group and government websites
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  • Mapping tweets to a known disease epidemiology; a case study of Lyme disease in the United Kingdom and Republic of Ireland
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    Journal of Biomedical Informatics.2019; 100: 100060.     CrossRef
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PHRP : Osong Public Health and Research Perspectives