title: Zika Virus on YouTube: An Analysis of English-language Video Content by Source.
abstract: OBJECTIVE
  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.
  
  
  METHODS
  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.
authors.affiliation: Department of Public Health, William Paterson University College of Science and Health, Wayne, NJ, USA.
authors.forename: Corey H
authors.identifier: 0000-0003-4862-4229
authors.initials: CH
authors.lastname: Basch
authors.affiliation: Department of Epidemiology and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, USA.
authors.forename: Isaac Chun-Hai
authors.identifier: 0000-0001-5496-2529
authors.initials: IC
authors.lastname: Fung
authors.affiliation: Department of Public Health, William Paterson University College of Science and Health, Wayne, NJ, USA.
authors.forename: Rodney N
authors.identifier: 0000-0002-6655-3156
authors.initials: RN
authors.lastname: Hammond
authors.affiliation: Department of Epidemiology and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, USA.
authors.forename: Elizabeth B
authors.identifier: 0000-0003-3650-5441
authors.initials: EB
authors.lastname: Blankenship
authors.affiliation: College of Engineering, The University of Georgia, Athens, GA, USA.
authors.forename: Zion Tsz Ho
authors.identifier: 0000-0001-9741-1137
authors.initials: ZT
authors.lastname: Tse
authors.affiliation: Journalism and Media Studies Centre, The University of Hong Kong, Hong Kong.
authors.forename: King-Wa
authors.identifier: 0000-0001-8157-5276
authors.initials: KW
authors.lastname: Fu
authors.affiliation: Department of Pediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong.
authors.forename: Patrick
authors.identifier: 0000-0002-6797-6898
authors.initials: P
authors.lastname: Ip
authors.affiliation: Department of Health and Behavior Studies, Teachers College, Columbia University, New York, NY, USA.
authors.forename: Charles E
authors.identifier: 0000-0001-8022-0959
authors.initials: CE
authors.lastname: Basch
mesh_terms: D000349:Africa; D001007:Anxiety; D003430:Cross-Sectional Studies; D005239:Fear; D058015:Health Communication; D006801:Humans; D007223:Infant; D020407:Internet; D007802:Language; D007843:Latin America; D016017:Odds Ratio; D061108:Social Media / Q000706:statistics & numerical data*; D000071244:Zika Virus / Q000472:pathogenicity*; D000071243:Zika Virus Infection / Q000473:pathology* / Q000635:transmission
keywords: Health communication; Internet; Social media; Zika virus