ABSTRACT
OBJECTIVES: To describe the methodology and key findings of British Columbia's (BC) COVID-19 SPEAK surveys, developed to understand the experiences, knowledge, and impact of the COVID-19 pandemic on British Columbians. METHODS: Two province-wide, cross-sectional, web-based population health surveys were conducted one year apart (May 2020 and April/May 2021). Questions were drawn from validated sources grounded within the social determinants of health to assess COVID-19 testing and prevention; mental and physical health; risk and protective factors; and healthcare, social, and economic impacts during the pandemic. Quota-based non-probability sampling by geography was applied to recruit a representative sample aged 18 years and older. Recruitment included strategic outreach and longitudinal follow-up of a subgroup of respondents from round one to round two. Post-collection weighting using Census data by age, sex, education, ethnicity, and geography was conducted. RESULTS: Participants included 394,382 and 188,561 British Columbians for the first and second surveys, respectively, including a longitudinal subgroup of 141,728. Key findings showed that societal impacts, both early in the pandemic and one year later, were inequitably distributed. Families with children, young adults, and people from lower socioeconomic backgrounds have been most impacted. Significant negative impacts on mental health and stress and a deterioration in protective resiliency factors were found. CONCLUSION: These population health surveys consisting of two large cross-sectional samples provided valuable insight into the impacts and experiences of British Columbians early in the pandemic and one year later. Timely, actionable data informed several high-priority public health areas during BC's response to the COVID-19 pandemic.
RéSUMé: OBJECTIFS: Décrire la méthode et les principaux constats des enquêtes SPEAK de la Colombie-Britannique sur la COVID-19, élaborées pour comprendre l'expérience des Britanno-Colombiens durant la pandémie, ainsi que leurs connaissances de la pandémie et les effets qu'elle a eus sur eux. MéTHODE: Deux enquêtes en ligne transversales sur la santé de la population ont été menées dans toute la province à un an d'intervalle (en mai 2020 et en avril-mai 2021). Les questions, qui provenaient de sources validées ancrées dans les déterminants sociaux de la santé, ont servi à évaluer le dépistage et la prévention de la COVID-19; la santé mentale et physique; les facteurs de risque et de protection; et les effets sociaux, économiques et sur les soins de santé ressentis durant la pandémie. Un échantillonnage contingentaire non probabiliste par lieu géographique a été appliqué pour recruter un échantillon représentatif de personnes de 18 ans et plus. Le recrutement a inclus une prise de contact stratégique et un suivi longitudinal auprès d'un sous-groupe de répondants entre les cycles un et deux. Après la collecte, les données ont été pondérées selon l'âge, le sexe, le niveau d'instruction, l'ethnicité et le lieu géographique à l'aide des données du Recensement. RéSULTATS: Les participants étaient 394 382 Britanno-Colombiens au cours du premier cycle de l'enquête et 188 561 au deuxième cycle, dont un sous-groupe longitudinal de 141 728 personnes. Selon les principaux constats, la répartition des effets sociétaux, tant au début de la pandémie qu'un an plus tard, a été inéquitable. Les familles avec enfants, les jeunes adultes et les personnes de statut socioéconomique plus faible ont été les plus touchés. D'importants effets nuisibles sur la santé mentale et le stress ont été constatés, ainsi qu'une détérioration des facteurs de résilience protecteurs. CONCLUSION: Ces enquêtes sur la santé de la population comprenant deux grands échantillons transversaux ont jeté un éclairage précieux sur les effets subis et les expériences vécues par les Britanno-Colombiens au début de la pandémie et un an plus tard. Ces données opportunes et exploitables ont éclairé plusieurs domaines hautement prioritaires de la santé publique durant la riposte de la Colombie-Britannique à la pandémie de COVID-19.
ABSTRACT
This study examines the effectiveness of the inoculation strategy in countering vaccine-related misinformation among Hong Kong college students. A three-phase between-subject experiment (n = 123) was conducted to compare the persuasive effects of inoculation messages (two-sided messages forewarning about misinformation related to COVID-19 vaccines), supportive messages (conventional health advocacy), and no message control. The results show that inoculation messages were superior to supportive messages at generating resistance to misinformation, as evidenced by more positive vaccine attitudes and stronger vaccine intention. Notably, while we expected the inoculation condition would produce more resistance than the control condition, there was little evidence in favor of this prediction. Attitudinal threat and counterarguing moderated the experimental effects; issue involvement and political trust were found to directly predict vaccine attitudes and intention. The findings suggest that future interventions focus on developing preventive mechanisms to counter misinformation and spreading inoculation over the issue is an effective strategy to generate resistance to misinformation. Interventions should be cautious about using health advocacy initiated by governments among populations with low political trust.
ABSTRACT
BACKGROUND: During the early stages of the COVID-19 pandemic, developing safe and effective coronavirus vaccines was considered critical to arresting the spread of the disease. News and social media discussions have extensively covered the issue of coronavirus vaccines, with a mixture of vaccine advocacies, concerns, and oppositions. OBJECTIVE: This study aimed to uncover the emerging themes in Twitter users' perceptions and attitudes toward vaccines during the early stages of the COVID-19 outbreak. METHODS: This study employed topic modeling to analyze tweets related to coronavirus vaccines at the start of the COVID-19 outbreak in the United States (February 21 to March 20, 2020). We created a predefined query (eg, "COVID" AND "vaccine") to extract the tweet text and metadata (number of followers of the Twitter account and engagement metrics based on likes, comments, and retweeting) from the Meltwater database. After preprocessing the data, we tested Latent Dirichlet Allocation models to identify topics associated with these tweets. The model specifying 20 topics provided the best overall coherence, and each topic was interpreted based on its top associated terms. RESULTS: In total, we analyzed 100,209 tweets containing keywords related to coronavirus and vaccines. The 20 topics were further collapsed based on shared similarities, thereby generating 7 major themes. Our analysis characterized 26.3% (26,234/100,209) of the tweets as News Related to Coronavirus and Vaccine Development, 25.4% (25,425/100,209) as General Discussion and Seeking of Information on Coronavirus, 12.9% (12,882/100,209) as Financial Concerns, 12.7% (12,696/100,209) as Venting Negative Emotions, 9.9% (9908/100,209) as Prayers and Calls for Positivity, 8.1% (8155/100,209) as Efficacy of Vaccine and Treatment, and 4.9% (4909/100,209) as Conspiracies about Coronavirus and Its Vaccines. Different themes demonstrated some changes over time, mostly in close association with news or events related to vaccine developments. Twitter users who discussed conspiracy theories, the efficacy of vaccines and treatments, and financial concerns had more followers than those focused on other vaccine themes. The engagement level-the extent to which a tweet being retweeted, quoted, liked, or replied by other users-was similar among different themes, but tweets venting negative emotions yielded the lowest engagement. CONCLUSIONS: This study enriches our understanding of public concerns over new vaccines or vaccine development at early stages of the outbreak, bearing implications for influencing vaccine attitudes and guiding public health efforts to cope with infectious disease outbreaks in the future. This study concluded that public concerns centered on general policy issues related to coronavirus vaccines and that the discussions were considerably mixed with political views when vaccines were not made available. Only a small proportion of tweets focused on conspiracy theories, but these tweets demonstrated high engagement levels and were often contributed by Twitter users with more influence.