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Journal of Preventive Medicine and Public Health 2017;50(2): 133-140. doi: https://doi.org/10.3961/jpmph.16.107
Zika Virus on YouTube: An Analysis of English-language Video Content by Source
Corey H. Basch1 , Isaac Chun-Hai Fung2 , Rodney N. Hammond1 , Elizabeth B. Blankenship2 , Zion Tsz Ho Tse3 , King-Wa Fu4 , Patrick Ip5 , Charles E. Basch6
1Department of Public Health, William Paterson University College of Science and Health, Wayne, NJ, USA
2Department of Epidemiology and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, USA
3College of Engineering, The University of Georgia, Athens, GA, USA
4Journalism and Media Studies Centre, The University of Hong Kong, Hong Kong
5Department of Pediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong
6Department of Health and Behavior Studies, Teachers College, Columbia University, New York, NY, USA
Corresponding Author: Isaac Chun-Hai Fung ,Tel: +1-912-478-5079, Fax: +1-912-478-0171, Email: cfung@georgiasouthern.edu
Received: November 7, 2016;  Accepted: January 18, 2017.
*Corey H. Basch and Isaac Chun-Hai Fung contributed equally to this work.
ABSTRACT
Objectives:
The purpose of this study was to describe the source, length, number of views, and content of the most widely viewed Zika virus (ZIKV)-related YouTube videos. We hypothesized that ZIKV-related videos uploaded by different sources contained different content.
Method:
The 100 most viewed English ZIKV-related videos were manually coded and analyzed statistically.
Results:
Among the 100 videos, there were 43 consumer-generated videos, 38 Internet-based news videos, 15 TV-based news videos, and 4 professional videos. Internet news sources captured over two-thirds of the total of 8 894 505 views. Compared with consumer-generated videos, Internet-based news videos were more likely to mention the impact of ZIKV on babies (odds ratio [OR], 6.25; 95% confidence interval [CI], 1.64 to 23.76), the number of cases in Latin America (OR, 5.63; 95% CI, 1.47 to 21.52); and ZIKV in Africa (OR, 2.56; 95% CI, 1.04 to 6.31). Compared with consumer-generated videos, TV-based news videos were more likely to express anxiety or fear of catching ZIKV (OR, 6.67; 95% CI, 1.36 to 32.70); to highlight fear of ZIKV among members of the public (OR, 7.45; 95% CI, 1.20 to 46.16); and to discuss avoiding pregnancy (OR, 3.88; 95% CI, 1.13 to 13.25).
Conclusions:
Public health agencies should establish a larger presence on YouTube to reach more people with evidence-based information about ZIKV.
Key words: Zika virus, Health communication, Internet, Social media
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