Evidence map›Paper›PMID 36612674›Full record

ArticleInternational journal of environmental research and public health2022

Examining Vaccine Sentiment on Twitter and Local Vaccine Deployment during the COVID-19 Pandemic.

Lourdes S Martinez, Matthew W Savage, Elisabeth Jones, Elizabeth Mikita, Varun Yadav, Ming-Hsiang Tsou

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Lourdes S MartinezSchool of Communication, San Diego State University, San Diego, CA 92182, USA.ORCID 0000-0001-8011-120X
Matthew W SavageSchool of Communication, San Diego State University, San Diego, CA 92182, USA.ORCID 0000-0003-3704-558X
Elisabeth JonesCollege of Arts and Letters, San Diego State University, San Diego, CA 92182, USA.
Elizabeth MikitaSchool of Public Health, San Diego State University, San Diego, CA 92182, USA.ORCID 0000-0002-2113-8274
Varun YadavDepartment of Biochemistry, University of California, San Diego, CA 92093, USA.
Ming-Hsiang TsouDepartment of Geography, San Diego State University, San Diego, CA 92182, USA.ORCID 0000-0003-3421-486X
San Diego State University · USUniversity of California San Diego · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding local public attitudes toward receiving vaccines is vital to successful vaccine campaigns. Social media platforms may help uncover vaccine sentiments during infectious disease outbreaks at the local level, and whether offline local events support vaccine-promotion efforts. Communication Infrastructure Theory (CIT) served as a guiding framework for this case study of the San Diego region examining local public sentiment toward vaccines expressed on Twitter during the COVID-19 pandemic. We performed a sentiment analysis (including positivity and subjectivity) of 187,349 tweets gathered from May 2020 to March 2021, and examined how sentiment corresponded with local vaccine deployment. The months of November and December (52.9%) 2020 saw a majority of tweets expressing positive sentiment and coincided with announcements of offline local events signaling San Diego's imminent deployment of COVID-19 vaccines. Across all months, tweets remained mostly objective (never falling below 63%). In terms of CIT, considering multiple levels of the Story Telling Network in online spaces, and examining sentiment about vaccines on Twitter may help scholars to explore the Communication Action Context, as well as cultivate positive community attitudes to improve the Field of Health Action regarding vaccines. Real-time analysis of local tweets during development and deployment of new vaccines may help monitor local public responses and guide promotion of immunizations in communities.

Indexed as

COVID-19Social MediaVaccinesAttitudeCOVID-19 VaccinesHumansPandemicsCOVID-19 VaccinesVaccinesCommunication Infrastructure TheoryCOVID-19sentimentTwittervaccines

Identifiers

PMID36612674
PMCPMC9819151
OpenAlexW4313244989

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.