Evidence map›Paper›PMID 39350111›Full record

ArticleBMC public health2024

Dissonance between posts of health agencies and public comments regarding COVID-19 and vaccination on Facebook in Northern California.

Christopher Calabrese, Haoning Xue, Jingwen Zhang

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Christopher CalabreseDepartment of Communication, Clemson University, Clemson, SC, USA.
Haoning XueDepartment of Communication, University of Utah, Salt Lake City, UT, USA.
Jingwen ZhangDepartment of Communication, University of California, Davis, One Shields Avenue, Davis, CA, 95616, USA. jwzzhang@ucdavis.edu.

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI KC KENT LLOYD · 2002 to 2026
$84.9M
National Cancer Institute of the National Institutes of Health 3P30CA093373-18S5NCI NIH HHS P30 CA093373
6 · The paper itself

Abstract

backgroundPublic health crises, such as the COVID-19 pandemic, have prompted a need for health agencies to improve their disease preparedness strategies, informing their communities of new information and promoting preventive behaviors to help curb the spread of the virus.

methodsWe ran unsupervised machine learning and emotion analysis, validated with manual coding, on posts of health agencies (N = 1588) and their associated public comments (N = 7813) during a crucial initial period of the COVID-19 pandemic (January 2020 to February 2021) among nine different counties with a higher proportion of vaccine-hesitant communities in Northern California. In addition, we explored differences in concerns and expressed emotions by two key group-level factors, county-level COVID-19 death rate and political party affiliation.

resultsWe consistently find that while health agencies primarily disseminated information about COVID-19 and the vaccine, they failed to address the concerns of their communities as expressed in public comment sections. Topics among public audiences focused on concerns with the COVID-19 vaccine safety and rollout, state mandates, flu vaccination, and frustration with politicians, and they expressed more positive and more negative emotions than health agencies. Further, there were several differences in primary topics and emotions expressed among public audiences by county-level COVID-19 death rate and political party affiliation.

conclusionWhile this research serves as a case study, findings indicate how local health agencies, and their audiences, discuss their perceptions and concerns regarding the COVID-19 pandemic and may inform health communication researchers and practitioners on how to prepare and manage for emerging health crises.

Indexed as

COVID-19COVID-19 VaccinesSocial MediaCaliforniaHumansMachine LearningSARS-CoV-2VaccinationVaccination HesitancyCOVID-19 VaccinesCOVID-19EmotionFacebookHealth agenciesNorthern CaliforniaSocial mediaUnsupervised machine learningVaccination

Identifiers

PMID39350111
PMCPMC11441105

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.