Evidence map›Paper›PMID 32792251›Full record

ArticleVaccine2020

Prospective associations of regional social media messages with attitudes and actual vaccination: A big data and survey study of the influenza vaccine in the United States.

Man-Pui Sally Chan, Kathleen Hall Jamieson, Dolores Albarracin

Open access · greenAbstract read
In one paragraph

Article in Vaccine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
7.3field-weighted citation impact, top 2% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 63 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Man-Pui Sally ChanDepartment of Psychology, University of Illinois at Urbana-Champaign, IL, United States. Electronic address: sallycmp@illinois.edu.
Kathleen Hall JamiesonThe Annenberg Public Policy Center, University of Pennsylvania, PA, United States.
Dolores AlbarracinDepartment of Psychology, University of Illinois at Urbana-Champaign, IL, United States; The Annenberg Public Policy Center, University of Pennsylvania, PA, United States.
University of Pennsylvania · USUniversity of Illinois Urbana-Champaign · US

Funding

Digital, Community-Led, Social Action Initiative to Reduce Opioid Vulnerability and HIV/HCV in Rural Areas of the Midwest and AppalachiaDP1DA048570 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI ALBARRACIN, DOLORES · 2019 to 2023
$4.0M
Mining Social Media Messages for HIV Testing and Prevention CommunicationR01MH114847 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI ALBARRACIN, DOLORES · 2018 to 2022
$2.9M
Development and validation of regional models of HIV vulnerabilities and solutionsR01AI147487 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI ALBARRACIN, DOLORES · 2019 to 2022
$2.4M
NIAID NIH HHS R01 AI147487NIDA NIH HHS DP1 DA048570NIMH NIH HHS R01 MH114847
6 · The paper itself

Abstract

objectiveUsing longitudinal methods to assess regional associations between social media posts about vaccines and attitudes and actual vaccination against influenza in the US.

methodsGeolocated tweets from U.S. counties (N = 115,330) were analyzed using MALLET LDA (Latent Dirichlet allocation) topic modeling techniques to correlate with prospective individual survey data (N = 3005) about vaccine attitudes, actual vaccination, and real-life discussions about vaccines with family and friends during the 2018-2019 influenza season.

resultsTen topics were common across U.S. counties during the 2018-2019 influenza season. In the overall analyses, two of these topics (i.e., Vaccine Science Matters and Big Pharma) were associated with attitudes and behaviors. The topic concerning vaccine science in November-February was positively correlated with attitudes in February-March, r = 0.09, BF DISCUSSION: Regional vaccine content correlated with prospective measures of vaccine attitudes and actual vaccination.

conclusionsSocial media have demonstrated strong associations with vaccination patterns. When the associations are negative, discussions with family and friends appear to eliminate them. Programs to promote vaccination should encourage real-life conversations about vaccines.

Indexed as

Influenza, HumanInfluenza VaccinesSocial MediaBig DataChildHealth Knowledge, Attitudes, PracticeHumansProspective StudiesSurveys and QuestionnairesUnited StatesVaccinationInfluenza VaccinesDiscussions with family and friendsInfluenza vaccineSocial mediaVaccinationVaccine attitude

Identifiers

PMID32792251
PMCPMC7415418
OpenAlexW3048221890

What OpenQuestion holds

Textmetadata
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.