Behavioral and social drivers of COVID-19 vaccination initiation in the US: a longitudinal study March─ October 2021 DOI Creative Commons
Neetu Abad, Kimberly Bonner, Qian Huang

et al.

Journal of Behavioral Medicine, Journal Year: 2024, Volume and Issue: 47(3), P. 422 - 433

Published: April 8, 2024

Abstract Many studies have examined behavioral and social drivers of COVID-19 vaccination initiation, but few these longitudinally. We sought to identify the initiation using Behavioral Social Drivers Vaccination (BeSD) Framework. Participants were a nationally-representative sample 1,563 US adults who had not received vaccine by baseline. took surveys online at baseline (spring 2021) follow-up (fall 2021). The assessed variables from BeSD Framework domains (i.e., thinking feeling, processes, practical issues), demographics follow-up. Between follow-up, 65% respondents reported initiating vaccination. intent increased ( p < .01). Higher confidence, more positive norms towards vaccination, receiving recommendations predicted subsequent (all Among factors responsibility requirements greatest associations with Baseline norms, associated all which could be useful targets for interventions. Furthermore, interventions that highlight vaccinate or promote also beneficial.

Language: Английский

Change in Threads on Twitter Regarding Influenza, Vaccines, and Vaccination During the COVID-19 Pandemic: Artificial Intelligence–Based Infodemiology Study DOI Creative Commons
Arriel Benis, Anat Chatsubi, Eugene Levner

et al.

JMIR Infodemiology, Journal Year: 2021, Volume and Issue: 1(1), P. e31983 - e31983

Published: Oct. 14, 2021

Discussions of health issues on social media are a crucial information source reflecting real-world responses regarding events and opinions. They often important in public care, since these influencing pathways that affect vaccination decision-making by hesitant individuals. Artificial intelligence methodologies based internet search engine queries have been suggested to detect disease outbreaks population behavior. Among media, Twitter is common platform choice share opinions (mis)information about care issues, including vaccines.Our primary objective was support the design implementation future eHealth strategies interventions increase quality targeted communication campaigns therefore influenza rates. Our goal define an artificial intelligence-based approach elucidate how threads changed during COVID-19 pandemic. Such findings may adapted could be generalized other health-related mass communications.The study comprised following 5 stages: (1) collecting tweets from related influenza, vaccines, United States; (2) data cleansing storage using machine learning techniques; (3) identifying terms, hashtags, topics vaccination; (4) building dynamic folksonomy previously defined vocabulary (terms topics) understanding its trends; (5) labeling evaluating folksonomy.We collected analyzed 2,782,720 420,617 unique users between December 30, 2019, April 2021. These were English, States, included at least one terms: "flu," "influenza," "vaccination," "vaccine," "vaxx." We noticed prevalence terms vaccine increased over 2020, "flu" "covid" occurrences inversely correlated as disappeared time tweets. By combining word embedding clustering, we then identified built around 3 dominating content tweets: "health medicine (biological clinical aspects)," "protection responsibility," "politics." analyzing frequently appearing together, mainly pandemic events.This focused initially against moved COVID-19. Infoveillance supported vaccines communicable diseases their trends can lead personalized messages encouraging subpopulations' engagement vaccination. A greater likelihood receives message associated with higher response, engagement, proactiveness target for process.

Language: Английский

Citations

18
Beyond fear and anger: A global analysis of emotional response to Covid-19 news on Twitter DOI Open Access
Francisco Bráulio Oliveira, Davoud Mougouei, Amanul Haque

et al.

Online Social Networks and Media, Journal Year: 2023, Volume and Issue: 36, P. 100253 - 100253

Published: June 16, 2023

Language: Английский

Citations

7
Dialogical Health Communication via Twitter (X) During COVID-19 in African Countries: Ghana as a Case Study DOI Creative Commons
Yasmin Aldamen,

Ahmed Abdallah

World, Journal Year: 2024, Volume and Issue: 5(4), P. 962 - 980

Published: Oct. 18, 2024

Social media platforms, such as Twitter (X), have a critical role in disseminating health information. The study aims to highlight the potential of (X) an influential tool for communication, addition providing findings related public communication strategies Ghana. investigated platform building interactive between system and citizens Ghana during COVID-19 pandemic 2020–2022. Additionally, it has contribute dialogical communication. analyzed sample COVID-19-related tweets from official Health Service account @_GHS 2020 2022. results showed that was key Ghana, with both institutions sharing large amounts Furthermore, found evidence dialogic which healthcare professionals are actively engaging on (X). It concluded changed over time, well affected positively outbreak. highlighted (X)’s establishing dialogue loop before COVID-19, did not use effectively communicate about matters. its wide reach highly nature through features retweets, become major interactions facilitating spaces surrounding issues like COVID-19.

Language: Английский

Citations

2
Interdependence of Emotion: Conceptualization, Evidence, and Social Implications From Cultural Psychology DOI
Yukiko Uchida, Masataka Nakayama,

Kimberly Bowen

et al.

Current Directions in Psychological Science, Journal Year: 2022, Volume and Issue: 31(5), P. 451 - 456

Published: Sept. 9, 2022

People feel a wide range of emotions. In many psychological traditions, emotions are defined as primarily emerging from within the individual, even if influenced by external factors (e.g., approval other people). This definition is consistent with an independent self-construal. However, in some contexts, understood to have more interdependent characteristics that can be shared people and arise social contexts collective, situations. We define lay theory interdependence emotion perception emotional experience or its causes consequences people. Interdependence conceptualized along spectrum, rather than categorical. Additionally, degree which understand likely varies cultural context. this article, we review studies investigated across cultures, focusing on function. suggest non-WEIRD cultures (i.e., not Western, Educated, Industrialized, Rich, Democratic) others interdependent. Next, highlight examples interdependence, two specific emotions: happiness awe, may both elements. The mechanisms functions discussed using example current collective threat, COVID-19.

Language: Английский

Citations

11
Behavioral and social drivers of COVID-19 vaccination initiation in the US: a longitudinal study March─ October 2021 DOI Creative Commons
Neetu Abad, Kimberly Bonner, Qian Huang

et al.

Journal of Behavioral Medicine, Journal Year: 2024, Volume and Issue: 47(3), P. 422 - 433

Published: April 8, 2024

Abstract Many studies have examined behavioral and social drivers of COVID-19 vaccination initiation, but few these longitudinally. We sought to identify the initiation using Behavioral Social Drivers Vaccination (BeSD) Framework. Participants were a nationally-representative sample 1,563 US adults who had not received vaccine by baseline. took surveys online at baseline (spring 2021) follow-up (fall 2021). The assessed variables from BeSD Framework domains (i.e., thinking feeling, processes, practical issues), demographics follow-up. Between follow-up, 65% respondents reported initiating vaccination. intent increased ( p < .01). Higher confidence, more positive norms towards vaccination, receiving recommendations predicted subsequent (all Among factors responsibility requirements greatest associations with Baseline norms, associated all which could be useful targets for interventions. Furthermore, interventions that highlight vaccinate or promote also beneficial.

Language: Английский

Citations

2