Dataset Information

Lyme Disease and YouTube ^TM: A Cross-Sectional Study of Video Contents.

ABSTRACT:

Objectives

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

Methods

Most viewed English YouTube^TM 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 YouTube ^TM videos were not created by public health professionals. Responsible reporting and creative video-making facilitate Lyme disease education. Partnership with YouTube^TM celebrities to co-develop educational videos may be a future direction.

SUBMITTER: Basch CH

PROVIDER: S-EPMC5594718 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Lyme Disease and YouTube <sup>TM</sup>: A Cross-Sectional Study of Video Contents.

Basch Corey H CH Mullican Lindsay A LA Boone Kwanza D KD Yin Jingjing J Berdnik Alyssa A Eremeeva Marina E ME Fung Isaac Chun-Hai IC

Osong public health and research perspectives 20170831 4

<h4>Objectives</h4>Lyme disease is the most common tick-borne disease. People seek health information on Lyme disease from YouTube<sup>TM</sup> videos. In this study, we investigated if the contents of Lyme disease-related YouTube<sup>TM</sup> videos varied by their sources.<h4>Methods</h4>Most viewed English YouTube<sup>TM</sup> videos (n = 100) were identified and manually coded for contents and sources.<h4>Results</h4>Within the sample, 40 videos were consumer-generated, 31 were internet-base ...[more]

PMID: 28904853

Similar Datasets

Project description:BackgroundWe assessed the humoral immune response of both ChAdOx1-nCOV (CovishieldTM) and BBV-152 (CovaxinTM) vaccines in Indian health care workers (HCW).MethodsA Pan-India, Cross-sectional, Coronavirus Vaccine-induced Antibody Titre (COVAT) study was conducted that measured SARS-CoV-2 anti-spike binding antibody quantitatively, 21 days or more after the first and second dose of two vaccines in both severe acute respiratory syndrome (SARS-CoV-2) naïve and recovered HCW. Primary aim was to analyze antibody response (seropositivity rate, Geometric Mean Titre [GMT] and 95% Confidence Interval [CI]) following each dose of both vaccines and its correlation to age, sex, blood group, body mass index (BMI) and comorbidities. Here we report the results of anti-spike antibody response after first and two completed doses.ResultsAmong the 515 HCW (305 Male, 210 Female) who took two doses of both vaccines, 95.0% showed seropositivity to anti-spike antibody. However, both seropositivity rate and GMT (95% CI) of anti-spike antibody was significantly higher in Covishield vs. Covaxin recipients (98.1 vs. 80.0%; 129.3 vs. 48.3 AU/mL; both p < 0.001). This difference persisted in 457 SARS-CoV-2 naïve and propensity-matched (age, sex and BMI) analysis of 116 participants. Age > 60-years, males, people with any comorbidities, and history of hypertension (HTN) had a significantly less anti-spike antibody GMT compared to age ≤ 60 years, females, no comorbidities and no HTN respectively, after the completion of two doses of either vaccine. Gender, presence of comorbidities, and vaccine type were independent predictors of antibody seropositivity rate and anti-spike antibody titre levels in multiple logistic and log transformed linear regression analysis. Both vaccine recipients had similar solicited mild to moderate adverse events and none had severe or unsolicited side effects.ConclusionsBoth vaccines elicited good immune response after two doses, although seropositivity rates and GMT of anti-spike antibody titre was significantly higher in Covishield compared to Covaxin recipients.

Project description:BackgroundIn South Korea, the number of coronavirus disease (COVID-19) cases has declined rapidly and much sooner than in other countries. South Korea is one of the most digitalized countries in the world, and YouTube may have served as a rapid delivery mechanism for increasing public awareness of COVID-19. Thus, the platform may have helped the South Korean public fight the spread of the disease.ObjectiveThe aim of this study is to compare the reliability, overall quality, title-content consistency, and content coverage of Korean-language YouTube videos on COVID-19, which have been uploaded by different sources.MethodsA total of 200 of the most viewed YouTube videos from January 1, 2020, to April 30, 2020, were screened, searching in Korean for the terms "Coronavirus," "COVID," "Corona," "Wuhan virus," and "Wuhan pneumonia." Non-Korean videos and videos that were duplicated, irrelevant, or livestreamed were excluded. Source and video metrics were collected. The videos were scored based on the following criteria: modified DISCERN index, Journal of the American Medical Association Score (JAMAS) benchmark criteria, global quality score (GQS), title-content consistency index (TCCI), and medical information and content index (MICI).ResultsOf the 105 total videos, 37.14% (39/105) contained misleading information; independent user-generated videos showed the highest proportion of misleading information at 68.09% (32/47), while all of the government-generated videos were useful. Government agency-generated videos achieved the highest median score of DISCERN (5.0, IQR 5.0-5.0), JAMAS (4.0, IQR 4.0-4.0), GQS (4.0, IQR 3.0-4.5), and TCCI (5.0, IQR 5.0-5.0), while independent user-generated videos achieved the lowest median score of DISCERN (2.0, IQR 1.0-3.0), JAMAS (2.0, IQR 1.5-2.0), GQS (2.0, IQR 1.5-2.0), and TCCI (3.0, IQR 3.0-4.0). However, the total MICI was not significantly different among sources. "Transmission and precautionary measures" were the most commonly covered content by government agencies, news agencies, and independent users. In contrast, the most mentioned content by news agencies was "prevalence," followed by "transmission and precautionary measures."ConclusionsMisleading videos had more likes, fewer comments, and longer running times than useful videos. Korean-language YouTube videos on COVID-19 uploaded by different sources varied significantly in terms of reliability, overall quality, and title-content consistency, but the content coverage was not significantly different. Government-generated videos had higher reliability, overall quality, and title-content consistency than independent user-generated videos.

Dataset Information

Lyme Disease and YouTube ^TM: A Cross-Sectional Study of Video Contents.

Objectives

Methods

Results

Conclusion

Publications

Lyme Disease and YouTube <sup>TM</sup>: A Cross-Sectional Study of Video Contents.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

Dataset Information

Lyme Disease and YouTube TM: A Cross-Sectional Study of Video Contents.

Objectives

Methods

Results

Conclusion

Publications

Lyme Disease and YouTube <sup>TM</sup>: A Cross-Sectional Study of Video Contents.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

Lyme Disease and YouTube ^TM: A Cross-Sectional Study of Video Contents.