Publikation:

Online Media Use and COVID-19 Vaccination in Real-World Personal Networks : Quantitative Study

Lade...
Vorschaubild

Dateien

Oana_2-1cvoln3r9f6wy6.pdf
Oana_2-1cvoln3r9f6wy6.pdfGröße: 418.68 KBDownloads: 26

Datum

2024

Autor:innen

Oană, Iulian
Hâncean, Marian-Gabriel
Perc, Matjaž
Mihăilă, Bianca-Elena
Geantă, Marius
Molina, José Luis
Tincă, Isabela
Espina, Carolina

Herausgeber:innen

Kontakt

ISSN der Zeitschrift

Electronic ISSN

ISBN

Bibliografische Daten

Verlag

Schriftenreihe

Auflagebezeichnung

DOI (zitierfähiger Link)
ArXiv-ID

Internationale Patentnummer

Angaben zur Forschungsförderung

European Union (EU): 101104432
Deutsche Forschungsgemeinschaft (DFG): 321869138

Projekt

Open Access-Veröffentlichung
Open Access Gold
Core Facility der Universität Konstanz

Gesperrt bis

Titel in einer weiteren Sprache

Publikationstyp
Zeitschriftenartikel
Publikationsstatus
Published

Erschienen in

Journal of Medical Internet Research (JMIR). JMIR Publications. 2024, 26, e58257. ISSN 1439-4456. eISSN 1438-8871. Verfügbar unter: doi: 10.2196/58257

Zusammenfassung

Background: Most studies assessing the impact of online media and social media use on COVID-19 vaccine hesitancy predominantly rely on survey data, which often fail to capture the clustering of health opinions and behaviors within real-world networks. In contrast, research using social network analysis aims to uncover the diverse communities and discourse themes related to vaccine support and hesitancy within social media platforms. Despite these advancements, there is a gap in the literature on how a person’s social circle affects vaccine acceptance, wherein an important part of social influence stems from offline interactions.

Objective: We aimed to examine how online media consumption influences vaccination decisions within real-world social networks by analyzing unique quantitative network data collected from Romania, an Eastern European state and member of the European Union.

Methods: We conducted 83 face-to-face interviews with participants from a living lab in Lerești, a small rural community in Romania, using a personal network analysis framework. This approach involved gathering data on both the respondents and individuals within their social circles (referred to as alters). After excluding cases with missing data, our analysis proceeded with 73% (61/83) of the complete personal networks. To examine the hierarchical structure of alters nested within ego networks, we used a mixed multilevel logistic regression model with random intercepts. The model aimed to predict vaccination status among alters, with the focal independent variable being the respondents’ preferred source of health and prevention information. This variable was categorized into 3 types: traditional media, online media (including social media), and a combination of both, with traditional media as the reference category.

Results: In this study, we analyzed 61 personal networks, encompassing between 15 and 25 alters each, totaling 1280 alters with valid data across all variables of interest. Our primary findings indicate that alters within personal networks, whose respondents rely solely on online media for health information, exhibit lower vaccination rates (odds ratio [OR] 0.37, 95% CI 0.15-0.92; P=.03). Conversely, the transition from exclusive traditional media use to a combination of both traditional and online media does not significantly impact vaccination rate odds (OR 0.75, 95% CI 0.32-1.78; P=.52). In addition, our analysis revealed that alters in personal networks of respondents who received the vaccine are more likely to have received the vaccine themselves (OR 3.75, 95% CI 1.79-7.85; P<.001).

Conclusions: Real-world networks combine diverse human interactions and attributes along with consequences on health opinions and behaviors. As individuals’ vaccination status is influenced by how their social alters use online media and vaccination behavior, further insights are needed to create tailored communication campaigns and interventions regarding vaccination in areas with low levels of digital health literacy and vaccination rates, as Romania exposes.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

vaccine hesitancy, online media, social media, assortative mixing, personal network analysis, social network analysis, Romania, vaccination, health information, COVID-19

Konferenz

Rezension
undefined / . - undefined, undefined

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Zugehörige Datensätze in KOPS

Zitieren

ISO 690OANĂ, Iulian, Marian-Gabriel HÂNCEAN, Matjaž PERC, Jürgen LERNER, Bianca-Elena MIHĂILĂ, Marius GEANTĂ, José Luis MOLINA, Isabela TINCĂ, Carolina ESPINA, 2024. Online Media Use and COVID-19 Vaccination in Real-World Personal Networks : Quantitative Study. In: Journal of Medical Internet Research (JMIR). JMIR Publications. 2024, 26, e58257. ISSN 1439-4456. eISSN 1438-8871. Verfügbar unter: doi: 10.2196/58257
BibTex
@article{Oana2024-10-25Onlin-71346,
  year={2024},
  doi={10.2196/58257},
  title={Online Media Use and COVID-19 Vaccination in Real-World Personal Networks : Quantitative Study},
  volume={26},
  issn={1439-4456},
  journal={Journal of Medical Internet Research (JMIR)},
  author={Oană, Iulian and Hâncean, Marian-Gabriel and Perc, Matjaž and Lerner, Jürgen and Mihăilă, Bianca-Elena and Geantă, Marius and Molina, José Luis and Tincă, Isabela and Espina, Carolina},
  note={Article Number: e58257}
}
RDF
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/71346">
    <dc:creator>Oană, Iulian</dc:creator>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2024-11-20T08:17:46Z</dc:date>
    <dcterms:abstract>Background:
Most studies assessing the impact of online media and social media use on COVID-19 vaccine hesitancy predominantly rely on survey data, which often fail to capture the clustering of health opinions and behaviors within real-world networks. In contrast, research using social network analysis aims to uncover the diverse communities and discourse themes related to vaccine support and hesitancy within social media platforms. Despite these advancements, there is a gap in the literature on how a person’s social circle affects vaccine acceptance, wherein an important part of social influence stems from offline interactions.

Objective:
We aimed to examine how online media consumption influences vaccination decisions within real-world social networks by analyzing unique quantitative network data collected from Romania, an Eastern European state and member of the European Union.

Methods:
We conducted 83 face-to-face interviews with participants from a living lab in Lerești, a small rural community in Romania, using a personal network analysis framework. This approach involved gathering data on both the respondents and individuals within their social circles (referred to as alters). After excluding cases with missing data, our analysis proceeded with 73% (61/83) of the complete personal networks. To examine the hierarchical structure of alters nested within ego networks, we used a mixed multilevel logistic regression model with random intercepts. The model aimed to predict vaccination status among alters, with the focal independent variable being the respondents’ preferred source of health and prevention information. This variable was categorized into 3 types: traditional media, online media (including social media), and a combination of both, with traditional media as the reference category.

Results:
In this study, we analyzed 61 personal networks, encompassing between 15 and 25 alters each, totaling 1280 alters with valid data across all variables of interest. Our primary findings indicate that alters within personal networks, whose respondents rely solely on online media for health information, exhibit lower vaccination rates (odds ratio [OR] 0.37, 95% CI 0.15-0.92; P=.03). Conversely, the transition from exclusive traditional media use to a combination of both traditional and online media does not significantly impact vaccination rate odds (OR 0.75, 95% CI 0.32-1.78; P=.52). In addition, our analysis revealed that alters in personal networks of respondents who received the vaccine are more likely to have received the vaccine themselves (OR 3.75, 95% CI 1.79-7.85; P&lt;.001).

Conclusions:
Real-world networks combine diverse human interactions and attributes along with consequences on health opinions and behaviors. As individuals’ vaccination status is influenced by how their social alters use online media and vaccination behavior, further insights are needed to create tailored communication campaigns and interventions regarding vaccination in areas with low levels of digital health literacy and vaccination rates, as Romania exposes.</dcterms:abstract>
    <dc:creator>Espina, Carolina</dc:creator>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:contributor>Oană, Iulian</dc:contributor>
    <dc:contributor>Espina, Carolina</dc:contributor>
    <dc:creator>Tincă, Isabela</dc:creator>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2024-11-20T08:17:46Z</dcterms:available>
    <dc:language>eng</dc:language>
    <dc:contributor>Perc, Matjaž</dc:contributor>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:contributor>Molina, José Luis</dc:contributor>
    <dc:contributor>Lerner, Jürgen</dc:contributor>
    <dcterms:issued>2024-10-25</dcterms:issued>
    <dc:contributor>Tincă, Isabela</dc:contributor>
    <dc:contributor>Geantă, Marius</dc:contributor>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:creator>Mihăilă, Bianca-Elena</dc:creator>
    <dc:creator>Molina, José Luis</dc:creator>
    <dc:contributor>Hâncean, Marian-Gabriel</dc:contributor>
    <dc:creator>Hâncean, Marian-Gabriel</dc:creator>
    <dc:rights>terms-of-use</dc:rights>
    <dc:creator>Perc, Matjaž</dc:creator>
    <dc:creator>Geantă, Marius</dc:creator>
    <dc:creator>Lerner, Jürgen</dc:creator>
    <dcterms:title>Online Media Use and COVID-19 Vaccination in Real-World Personal Networks : Quantitative Study</dcterms:title>
    <dc:contributor>Mihăilă, Bianca-Elena</dc:contributor>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/71346/4/Oana_2-1cvoln3r9f6wy6.pdf"/>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/71346"/>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/71346/4/Oana_2-1cvoln3r9f6wy6.pdf"/>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
  </rdf:Description>
</rdf:RDF>

Interner Vermerk

xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter

Kontakt
URL der Originalveröffentl.

Prüfdatum der URL

Prüfungsdatum der Dissertation

Finanzierungsart

Kommentar zur Publikation

Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Ja
Diese Publikation teilen