The Role of Scientific Research in Human Papillomavirus Vaccine Discussions on Twitter: Social Network Analysis (Preprint) DOI
Geneviève Jessiman‐Perreault, Jean-Christophe Boucher, So Youn Kim

et al.

Published: July 5, 2023

BACKGROUND Attitudes toward the human papillomavirus (HPV) vaccine and accuracy of information shared about this topic in web-based settings vary widely. As real-time, global exposure to discourse HPV immunization shapes attitudes people vaccination, spread misinformation misrepresentation scientific knowledge contribute hesitancy. OBJECTIVE In study, we aimed better understand type quality research on Twitter (recently rebranded as <i>X</i>) by vaccine-hesitant vaccine-confident communities. METHODS To analyze use social media, collected tweets retweets using a list keywords associated with vaccines Academic Research Product Track application programming interface from January 2019 May 2021. From data set, identified referring or sharing literature through Boolean search for any embedded links, hashtags, papers. First, used network analysis build retweet reply identify clusters users belonging either Second, thematically assessed all papers based typology evidence. Finally, compared evidence bibliometrics between RESULTS We extracted 250 unique (including peer-reviewed papers, preprints, gray literature) approximately 1 million English-language tweets. Social maps were generated communities Twitter. Vaccine-hesitant share fewer papers; yet, these are more broadly disseminated despite being published less prestigious journals those community. CONCLUSIONS have adopted communication tools traditionally wielded health promotion Vaccine-confident would benefit cohesive strategy communicate their messages widely effectively. CLINICALTRIAL

Language: Английский

Mandating COVID-19 Vaccination on Campus: A Qualitative Analysis of a Cross-Sectional Study of California College Students DOI

Anji Buckner-Capone,

Marcelle Dougan

Health Promotion Practice, Journal Year: 2023, Volume and Issue: 25(5), P. 787 - 798

Published: Aug. 24, 2023

The purpose of this study was to examine college student perceptions related institutional vaccine mandates. We utilized qualitative data (

Language: Английский

Citations

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Comparison of COVID-19 and Influenza-Related Outcomes in the United States during Fall-Winter 2022-2023 DOI Open Access

Hagit Kopel,

Alina Bogdanov, Jessamine Winer‐Jones

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Sept. 11, 2023

Abstract Background Three years into the pandemic, SARS-COV-2 remains a significant burden in comparison to other respiratory illnesses; however, many of monitoring tools available during early phase COVID-19 pandemic have been phased out, making it more difficult track current outpatient medical encounters and hospitalizations, especially for at-risk groups. The objective this analysis was characterize frequency severity medically-attended influenza peak activity pediatric (0-17), adult (18-64), older (65+) populations prevalence underlying conditions among patients hospitalized with COVID-19. Methods This cross-sectional individuals Veradigm Health Insights EHR Database linked Komodo claims data encounter claim between October 1, 2022, March 31, 2023. We captured age, sex, associated higher risk severe 12-month baseline period. identified diagnosis or 2023, stratified them 5 mutually exclusive categories based on highest level care received that season (intensive unit [ICU] > hospitalization without ICU emergency department urgent outpatient). Results Among 23,526,196 dataset, 5.0% had COVID-19-related encounter, 3.0% an influenza-related 6 month observation incidence hospitalizations 4.6 times than diagnosis. Hospitalizations were all age Nearly adults at least one condition, but 25.8% 0-5-year-olds 18.3% 6-17-year-olds no conditions. Conclusions continues place heavy United States healthcare system groups, including 6-month period included 2022-2023 activity.

Language: Английский

Citations

0
A cross-sectional study of perceptions of COVID-19 and adherence to preventive measures among Saudi college students using the health belief model DOI Open Access
Saud A. Alsulaiman

Online Journal of Communication and Media Technologies, Journal Year: 2023, Volume and Issue: 13(4), P. e202357 - e202357

Published: Oct. 17, 2023

This study utilized the health belief model (HBM) to investigate association between perceptions of COVID-19, adherence healthy behaviors, and credibility COVID-19 information. cross-sectional an online survey distributed a random sample graduate undergraduate college students (<i>N</i> = 408) at large public university in Riyadh, Saudi Arabia, during pandemic. The two validated reliable 5-point Likert scales assess individuals’ messages promoted via various communication channels. Various statistical analyses, including Kruskal-Wallis H Pearson correlation coefficient (r) tests, suggested positive information HBM adopting preventive measures. Individuals perceived authorities as more credible sources than traditional social media platforms. recommends that convey tailored, effective, consistent, transparent proper channels persuade motivate individuals adopt behaviors future pandemics.

Language: Английский

Citations

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The Role of Scientific Research in Human Papillomavirus Vaccine Discussions on Twitter: Social Network Analysis (Preprint) DOI
Geneviève Jessiman‐Perreault, Jean-Christophe Boucher, So Youn Kim

et al.

Published: July 5, 2023

BACKGROUND Attitudes toward the human papillomavirus (HPV) vaccine and accuracy of information shared about this topic in web-based settings vary widely. As real-time, global exposure to discourse HPV immunization shapes attitudes people vaccination, spread misinformation misrepresentation scientific knowledge contribute hesitancy. OBJECTIVE In study, we aimed better understand type quality research on Twitter (recently rebranded as <i>X</i>) by vaccine-hesitant vaccine-confident communities. METHODS To analyze use social media, collected tweets retweets using a list keywords associated with vaccines Academic Research Product Track application programming interface from January 2019 May 2021. From data set, identified referring or sharing literature through Boolean search for any embedded links, hashtags, papers. First, used network analysis build retweet reply identify clusters users belonging either Second, thematically assessed all papers based typology evidence. Finally, compared evidence bibliometrics between RESULTS We extracted 250 unique (including peer-reviewed papers, preprints, gray literature) approximately 1 million English-language tweets. Social maps were generated communities Twitter. Vaccine-hesitant share fewer papers; yet, these are more broadly disseminated despite being published less prestigious journals those community. CONCLUSIONS have adopted communication tools traditionally wielded health promotion Vaccine-confident would benefit cohesive strategy communicate their messages widely effectively. CLINICALTRIAL

Language: Английский

Citations

0