Skip Navigation
Skip to contents

PHRP : Osong Public Health and Research Perspectives

OPEN ACCESS
SEARCH
Search

Articles

Page Path
HOME > Osong Public Health Res Perspect > Volume 8(4); 2017 > Article
Brief Report
Lyme Disease and YouTubeTM: A Cross-Sectional Study of Video Contents
Corey H. Bascha, Lindsay A. Mullicanb, Kwanza D. Booneb, Jingjing Yinc, Alyssa Berdnikd, Marina E. Eremeevab, Isaac Chun-Hai Fungb
Osong Public Health and Research Perspectives 2017;8(4):289-292.
DOI: https://doi.org/10.24171/j.phrp.2017.8.4.10
Published online: August 31, 2017

aDepartment of Public Health, William Paterson University, Wayne, New Jersey, United States of America

bDepartment of Epidemiology and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, Georgia, United States of America

cDepartment of Biostatistics, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, Georgia, United States of America

dTeachers College, Columbia University, New York City, New York, United States of America

Corresponding author: Isaac Chun-Hai Fung, E-mail: cfung@georgiasouthern.edu
*Corey H. Basch, Lindsay A. Mullican, and Kwanza D. Boone contributed equally to this study as co-first authors.
• Received: March 31, 2017   • Revised: August 7, 2017   • Accepted: August 14, 2017

Copyright ©2017, Korea Centers for Disease Control and Prevention

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

  • 5,449 Views
  • 34 Download
  • 12 Crossref
  • 17 Scopus
prev
  • 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.
Lyme disease is the most common tick-borne disease, with approximately 300,000 cases diagnosed annually in the United States [1] and approximately 85,000 estimated cases diagnosed annually in Europe [2]. Lyme disease is also present in China, but exact estimates are not available. Meanwhile, Lyme disease is rare in Korea and Japan [2]. Lyme disease is known for different acute and chronic clinical manifestations in humans and it is capable of causing clinical symptoms in dogs, horses and sometimes cattle [1,3]. Common symptoms of acute illness include fever, headache, fatigue, and erythema migrans [1]. Effective health communication can be used to empower individuals to prevent potential acquisition of Lyme disease by avoiding tick-infested areas, wearing protective clothing or repellent, and subsequent timely checking for and correct removal of ticks [1].
Social media disseminates information efficiently, making it crucial for health communication. With over 1 billion users, YouTubeTM is the second most visited website [4]. Many health-related videos are uploaded, searched, and viewed daily [4], but no study to date analyzes Lyme disease-related YouTubeTM videos. Given the large audience of YouTubeTM users and the concern of accuracy regarding disease-related information released on these videos, it is important to know if the videos made by public health professionals reach a wide audience or not.
In this study, we investigated if the contents of Lyme disease-related YouTubeTM videos varied by their sources.
The approval for this study of Institutional Review Board at William Paterson University was waived since this study did not involve human subjects.
For this study, we adapted a research protocol that was previously established for the study of Zika virus-related YouTubeTM videos [5] to allow for the study of Lyme disease-related videos. YouTube.com was searched with the keyword “Lyme Disease” on September 2, 2016. Videos were sorted by their number of views in descending order. After excluding two videos, one in French and one in Spanish, the 100 most viewed English language Lyme disease-related videos were manually coded for content and sources. Video sources were categorized as (1) consumer-generated (uploaded by non-healthcare-professionals who were members of the general public), (2) professional (uploaded by healthcare professionals), (3) news broadcasted by television networks, and (4) other internet-based news (news clips that were part of an internet-based program rather than one that was aired on network television). The video title, date of upload, URL, length, number of views, and number of thumbs-up and thumbs-down were recorded and analyzed. A random sample of 10 videos out of the sample (n = 100) were double coded; our manual coding was found reliable with 100% agreement.
Statistical analysis was performed in R 3.3.1 through R Studio [6]. Non-parametric methods were used to analyze the video length, number of views, thumbs-up, and thumbs-down. The Kruskal–Wallis H-test was used across categories, and the Nemenyi test was used for pairwise comparisons. Spearman’s rho was used to assess bivariate correlation. Manually coded contents that were binary were analyzed using univariate logistic regression with the video source as the predictor variable.
There were 40 consumer-generated videos, 31 internet-based news videos, 16 professional videos, and 13 TV news videos among the 100 most viewed English videos on Lyme disease. Collectively, they were viewed 10,380,848 times. Consumer-generated videos were viewed 3,231,374 times, accounting for 31.1% of overall views, followed by TV news (2,783,934, 26.8%), internet-based news (2,395,154, 23.1%), and professional news (1,971,286, 19.0%). The difference in distribution of the overall views was marginally statistically significant between the categories (Kruskal–Wallis test, χ2 = 7.98, p = 0.05); however, pairwise comparison revealed no significant difference between the categories.
Compared with amateur-generated videos, TV news videos were more likely to mention or feature a celebrity (odds ratio [OR], 10.57; 95% confidence interval [CI], 2.13–52.58; p = 0.004), to mention Lyme disease prevention through wearing proper clothing (OR, 5.63; 95% CI, 1.23–25.76; p = 0.03), and to mention Lyme disease prevention through spraying insecticides either on clothing or in the environment (OR, 7.71; 95% CI, 1.52–39.05; p = 0.01) (Table 1). Internet-based news videos were 4.3 times as likely as consumer-generated videos to mention non-specific prevention methods (OR, 4.29; 95% CI, 1.19–15.39; p = 0.03). Non-specific prevention methods were defined as mentions of the importance of prevention with little detail (e.g., prepare your home or use caution outside). Further details are presented in the online Supplementary Materials (available at https://doi.org/10.24171/j.phrp.2017.8.4.10).
Among the 100 most viewed YouTubeTM videos on Lyme disease, 40 were uploaded by amateurs; only 16 were created by healthcare professionals. Prevention of Lyme disease relies primarily on education about personal protection measures, and signs and symptoms of the disease [7]. Most individuals with early-stage Lyme disease respond to antibiotic therapy very well [7]. With over half of low literacy adults who sought health information preferring the internet as their first choice for a source of information [8], the untapped potential of online videos in health communication could not be overstated. Professional sources ensure accurate and valid information dissemination. Our findings suggest the possibility that many Lyme disease-related YouTubeTM videos made by public health professionals are not popular enough to make it to the list of the most viewed 100. Given YouTube’s popularity, the public health implication of our study is that if we want to reach a wider audience with infectious disease prevention messages, more creative video-making might be needed. A future direction that public health professionals can consider is to collaborate with YouTubeTM celebrities who have millions of online subscribers to co-develop interesting videos that educate the public about infectious disease prevention.
There are limitations to this study. The cross-sectional design could not capture the changing numbers of views and other meta-data. The cut-off point of 100 for the most popular videos was arbitrary. Our findings may not be generalizable to the less popular videos. We chose to focus on English videos; videos in other languages might have different contents. We did not code for misinformation, nor did we evaluate video quality, because these were beyond the scope of this study.
In conclusion, Lyme disease-related YouTubeTM videos attracted over 10 million views. Responsible TV news reporting and innovative videos created by healthcare professionals could harness YouTube’s untapped potential and facilitate health education on Lyme disease.
Acknowledgements
We received no external funding for this project. ICHF received salary support from the US Centers for Disease Control and Prevention (16IPA1609578). This paper is not part of his CDC-supported research projects. The opinions expressed in this review do not represent the CDC nor the United States Government.

CONFLICTS OF INTEREST

No potential conflict of interest relevant to this article was reported.

Table 1
The OR of different video source categories containing different categories of Lyme disease-related contents as compared to consumer-generated videos
Content category OR (95% CI) p-value
A celebrity featured or mentioned
 Internet-based news videos 0.85 (0.13–5.43) 0.86
 Professional videosa
 Television news videos 10.57 (2.13–52.58) 0.004
Borrelia burgdorferi spirochete shown or mentioned
 Internet-based news videos 0.76 (0.28–2.09) 0.59
 Professional videos 0.43 (0.10–1.76) 0.24
 Television news videos 0.83 (0.22–3.17) 0.78
Pain mentioned
 Internet-based news videos 0.59 (0.23–1.52) 0.28
 Professional videos 0.82 (0.26–2.61) 0.73
 Television news videos 0.36 (0.10–1.38) 0.14
Anxiety or fear of diagnosis mentioned
 Internet-based news videos 1.31 (0.17–9.87) 0.79
 Professional videos 4.39 (0.66–29.22) 0.13
 Television news videos 5.70 (0.84–38.88) 0.08
Bull’s-eye rash shown or mentioned
 Internet-based news videos 0.64 (0.24–1.72) 0.38
 Professional videos 0.62 (0.18–2.10) 0.44
 Television news videos 0.60 (0.16–2.28) 0.46
Fatigue symptoms mentioned
 Internet-based news videos 1.24 (0.48–3.19) 0.66
 Professional videos 0.90 (0.27–2.97) 0.86
 Television news videos 1.29 (0.36–4.54) 0.70
Headache symptoms mentioned
 Internet-based news videos 0.68 (0.25–1.86) 0.46
 Professional videos 0.56 (0.15–2.04) 0.38
 Television news videos 0.74 (0.19–2.83) 0.66
Fever symptoms mentioned
 Internet-based news videos 0.68 (0.23–2.00) 0.49
 Professional videos 1.06 (0.30–3.72) 0.93
 Television news videos 1.04 (0.27–4.03) 0.96
Treatment mentioned
 Internet-based news videos 0.61 (0.22–1.69) 0.34
 Professional videos 5.00 (0.58–42.80) 0.14
 Television news videos 1.11 (0.25–4.86) 0.89
Damage to nervous system mentioned
 Internet-based news videos 0.63 (0.21–1.96) 0.43
 Professional videos 2.05 (0.61–6.86) 0.24
 Television news videos 1.65 (0.44–6.14) 0.46
Damage to joints mentioned
 Internet-based news videos 2.20 (0.76–6.40) 0.15
 Professional videos 1.33 (0.34–5.25) 0.68
 Television news videos 1.78 (0.43–7.28) 0.42
Damage to heart mentioned
 Internet-based news videos 0.59 (0.16–2.19) 0.43
 Professional videos 0.27 (0.03–2.33) 0.23
 Television news videos 1.20 (0.27–5.41) 0.81
Prevention: Preventive clothing mentioned
 Internet-based news videos 0.30 (0.03–2.83) 0.29
 Professional videos 0.60 (0.06–5.82) 0.66
 Television news videos 5.63 (1.23–25.76) 0.03
Prevention: Insecticides mentioned
 Internet-based news videos 1.32 (0.25–7.05) 0.74
 Professional videos 1.76 (0.27–11.69) 0.56
 Television news videos 7.71 (1.52–39.05) 0.01
Prevention: Removal of ticks mentioned
 Internet-based news videos 0.84 (0.22–3.28) 0.80
 Professional videos 1.31 (0.28–6.02) 0.73
 Television news videos 1.70 (0.36–8.05) 0.50
Prevention: Removal of habitat mentioned
 Internet-based news videosa
 Professional videosa
 Television news videosa
Prevention (not specific) mentioned
 Internet-based news videos 4.29 (1.19–15.39) 0.03
 Professional videosa
 Television news videos 0.75 (0.08–7.38) 0.81
Geography (where Lyme disease is most probable) mentioned
 Internet-based news videos 0.53 (0.15–1.92) 0.33
 Professional videos 0.49 (0.09–2.58) 0.40
 Television news videos 2.15 (0.56–8.23) 0.26
Ticks as vectors mentioned
 Internet-based news videos 0.87 (0.34–2.24) 0.78
 Professional videos 0.82 (0.26–2.61) 0.73
 Television news videos 0.96 (0.27–3.35) 0.94
Individual experience included
 Internet-based news videos 0.75 (0.28–1.96) 0.55
 Professional videos 1.62 (0.44–5.95) 0.47
 Television news videos 1.21 (0.32–4.65) 0.78
Products or services sold
 Internet-based news videos 3.65 (0.66–20.28) 0.14
 Professional videos 4.39 (0.66–29.22) 0.13
 Television news videosa
Lyme disease in animals mentioned
 Internet-based news videos 0.48 (0.09–2.68) 0.40
 Professional videos 1.00 (0.17–5.77) 1.00
 Television news videos 1.27 (0.22–7.50) 0.79
Natural cure mentioned
 Internet-based news videos 0.75 (0.17–3.41) 0.71
 Professional videos 2.33 (0.54–10.14) 0.26
 Television news videos 0.58 (0.06–5.51) 0.64

OR, odds ratio; CI, confidence interval.

a If all videos belonged to a particular category of source of video, resulting in a zero cell count in the other category, then we could not calculate the OR or the standard error, and p-values would not be meaningful.

Figure & Data

References

    Citations

    Citations to this article as recorded by  
    • Identifying Trusted Sources of Lyme Disease Prevention Information Among Internet Users Connected to Academic Public Health Resources: Internet-Based Survey Study
      Heather L Kopsco, Rayda K Krell, Thomas N Mather, Neeta P Connally
      JMIR Formative Research.2023; 7: e43516.     CrossRef
    • Identifying Potential Lyme Disease Cases Using Self-Reported Worldwide Tweets: Deep Learning Modeling Approach Enhanced With Sentimental Words Through Emojis
      Elda Kokoe Elolo Laison, Mohamed Hamza Ibrahim, Srikanth Boligarla, Jiaxin Li, Raja Mahadevan, Austen Ng, Venkataraman Muthuramalingam, Wee Yi Lee, Yijun Yin, Bouchra R Nasri
      Journal of Medical Internet Research.2023; 25: e47014.     CrossRef
    • Approaches to Research Ethics in Health Research on YouTube: Systematic Review
      Joshua P Tanner, Courtney Takats, Hannah Stuart Lathan, Amy Kwan, Rachel Wormer, Diana Romero, Heidi E Jones
      Journal of Medical Internet Research.2023; 25: e43060.     CrossRef
    • Leveraging machine learning approaches for predicting potential Lyme disease cases and incidence rates in the United States using Twitter
      Srikanth Boligarla, Elda Kokoè Elolo Laison, Jiaxin Li, Raja Mahadevan, Austen Ng, Yangming Lin, Mamadou Yamar Thioub, Bruce Huang, Mohamed Hamza Ibrahim, Bouchra Nasri
      BMC Medical Informatics and Decision Making.2023;[Epub]     CrossRef
    • Assessing Public Tick Identification Ability and Tick Bite Riskiness Using Passive Photograph-Based Crowdsourced Tick Surveillance
      Heather L Kopsco, Roland J Duhaime, Thomas N Mather, Holly Gaff
      Journal of Medical Entomology.2021; 58(2): 837.     CrossRef
    • Spray Safe, Play Safe: Story-Based Films Increase Homeowner Confidence About Backyard Tick Management
      Victoria L Hornbostel, Rayda K Krell, Jennifer J Reid, Brittany L Schappach, Scott Volpe, Neeta P Connally, Holly Gaff
      Journal of Medical Entomology.2021; 58(2): 857.     CrossRef
    • Cross‐sectional study on the quality of oral lichen planus videos on YouTube™
      Antonio Romano, Dorina Lauritano, Fausto Fiori, Marco Di Petrillo, Iquebal Hasan, Alberta Lucchese, Rosario Serpico, Dario Di Stasio
      Journal of Oral Pathology & Medicine.2021; 50(2): 220.     CrossRef
    • Experience and knowledge of Lyme disease: A scoping review of patient-provider communication
      Anna T. Nesgos, Laura C. Harrington, Emily M. Mader
      Ticks and Tick-borne Diseases.2021; 12(4): 101714.     CrossRef
    • The Coronavirus Intervention in Ethiopia and the Challenges for Implementation
      Hagos Nigussie
      Frontiers in Communication.2021;[Epub]     CrossRef
    • Lyme disease prevention: A content analysis of Canadian patient group and government websites
      Audrey‐Ann Journault, Lucie Richard, Cécile Aenishaenslin
      Zoonoses and Public Health.2020; 67(2): 177.     CrossRef
    • Mapping tweets to a known disease epidemiology; a case study of Lyme disease in the United Kingdom and Republic of Ireland
      John S.P. Tulloch, Roberto Vivancos, Rob M. Christley, Alan D. Radford, Jenny C. Warner
      Journal of Biomedical Informatics.2019; 100: 100060.     CrossRef
    • Eastern Equine Encephalitis and YouTube videos: A content analysis
      Corey H. Basch, Elizabeth B. Blankenship, Isaac Chun-Hai Fung, Christina C. Yarborough, R. Christopher Rustin, Jingjing Yin
      Infection, Disease & Health.2018; 23(4): 197.     CrossRef

    • PubReader PubReader
    • Cite
      Cite
      export Copy
      Close
    • XML DownloadXML Download
    Lyme Disease and YouTubeTM: A Cross-Sectional Study of Video Contents
    Lyme Disease and YouTubeTM: A Cross-Sectional Study of Video Contents
    Content categoryOR (95% CI)p-value
    A celebrity featured or mentioned
     Internet-based news videos0.85 (0.13–5.43)0.86
     Professional videosa
     Television news videos10.57 (2.13–52.58)0.004
    Borrelia burgdorferi spirochete shown or mentioned
     Internet-based news videos0.76 (0.28–2.09)0.59
     Professional videos0.43 (0.10–1.76)0.24
     Television news videos0.83 (0.22–3.17)0.78
    Pain mentioned
     Internet-based news videos0.59 (0.23–1.52)0.28
     Professional videos0.82 (0.26–2.61)0.73
     Television news videos0.36 (0.10–1.38)0.14
    Anxiety or fear of diagnosis mentioned
     Internet-based news videos1.31 (0.17–9.87)0.79
     Professional videos4.39 (0.66–29.22)0.13
     Television news videos5.70 (0.84–38.88)0.08
    Bull’s-eye rash shown or mentioned
     Internet-based news videos0.64 (0.24–1.72)0.38
     Professional videos0.62 (0.18–2.10)0.44
     Television news videos0.60 (0.16–2.28)0.46
    Fatigue symptoms mentioned
     Internet-based news videos1.24 (0.48–3.19)0.66
     Professional videos0.90 (0.27–2.97)0.86
     Television news videos1.29 (0.36–4.54)0.70
    Headache symptoms mentioned
     Internet-based news videos0.68 (0.25–1.86)0.46
     Professional videos0.56 (0.15–2.04)0.38
     Television news videos0.74 (0.19–2.83)0.66
    Fever symptoms mentioned
     Internet-based news videos0.68 (0.23–2.00)0.49
     Professional videos1.06 (0.30–3.72)0.93
     Television news videos1.04 (0.27–4.03)0.96
    Treatment mentioned
     Internet-based news videos0.61 (0.22–1.69)0.34
     Professional videos5.00 (0.58–42.80)0.14
     Television news videos1.11 (0.25–4.86)0.89
    Damage to nervous system mentioned
     Internet-based news videos0.63 (0.21–1.96)0.43
     Professional videos2.05 (0.61–6.86)0.24
     Television news videos1.65 (0.44–6.14)0.46
    Damage to joints mentioned
     Internet-based news videos2.20 (0.76–6.40)0.15
     Professional videos1.33 (0.34–5.25)0.68
     Television news videos1.78 (0.43–7.28)0.42
    Damage to heart mentioned
     Internet-based news videos0.59 (0.16–2.19)0.43
     Professional videos0.27 (0.03–2.33)0.23
     Television news videos1.20 (0.27–5.41)0.81
    Prevention: Preventive clothing mentioned
     Internet-based news videos0.30 (0.03–2.83)0.29
     Professional videos0.60 (0.06–5.82)0.66
     Television news videos5.63 (1.23–25.76)0.03
    Prevention: Insecticides mentioned
     Internet-based news videos1.32 (0.25–7.05)0.74
     Professional videos1.76 (0.27–11.69)0.56
     Television news videos7.71 (1.52–39.05)0.01
    Prevention: Removal of ticks mentioned
     Internet-based news videos0.84 (0.22–3.28)0.80
     Professional videos1.31 (0.28–6.02)0.73
     Television news videos1.70 (0.36–8.05)0.50
    Prevention: Removal of habitat mentioned
     Internet-based news videosa
     Professional videosa
     Television news videosa
    Prevention (not specific) mentioned
     Internet-based news videos4.29 (1.19–15.39)0.03
     Professional videosa
     Television news videos0.75 (0.08–7.38)0.81
    Geography (where Lyme disease is most probable) mentioned
     Internet-based news videos0.53 (0.15–1.92)0.33
     Professional videos0.49 (0.09–2.58)0.40
     Television news videos2.15 (0.56–8.23)0.26
    Ticks as vectors mentioned
     Internet-based news videos0.87 (0.34–2.24)0.78
     Professional videos0.82 (0.26–2.61)0.73
     Television news videos0.96 (0.27–3.35)0.94
    Individual experience included
     Internet-based news videos0.75 (0.28–1.96)0.55
     Professional videos1.62 (0.44–5.95)0.47
     Television news videos1.21 (0.32–4.65)0.78
    Products or services sold
     Internet-based news videos3.65 (0.66–20.28)0.14
     Professional videos4.39 (0.66–29.22)0.13
     Television news videosa
    Lyme disease in animals mentioned
     Internet-based news videos0.48 (0.09–2.68)0.40
     Professional videos1.00 (0.17–5.77)1.00
     Television news videos1.27 (0.22–7.50)0.79
    Natural cure mentioned
     Internet-based news videos0.75 (0.17–3.41)0.71
     Professional videos2.33 (0.54–10.14)0.26
     Television news videos0.58 (0.06–5.51)0.64
    Table 1 The OR of different video source categories containing different categories of Lyme disease-related contents as compared to consumer-generated videos

    OR, odds ratio; CI, confidence interval.

    If all videos belonged to a particular category of source of video, resulting in a zero cell count in the other category, then we could not calculate the OR or the standard error, and p-values would not be meaningful.


    PHRP : Osong Public Health and Research Perspectives
    TOP