Evidence map›Paper›PMID 38038663›Full record

ArticleJMIR pediatrics and parenting2023

Detection and Characterization of Web-Based Pediatric COVID-19 Vaccine Discussions and Racial and Ethnic Minority Topics: Retrospective Analysis of Twitter Data.

Tiana McMann, Christine Wenzel, Nicolette Le, Zhuoran Li, Qing Xu, Raphael E Cuomo, Tim Mackey

Open access · goldAbstract read
In one paragraph

Article in JMIR pediatrics and parenting, 2023. 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
1.4field-weighted citation impact, top 18% 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, 5 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

7 authors at 2 institutions in 1 country.

Tiana McMannGlobal Health Program, Department of Anthropology, University of California, San Diego, La Jolla, CA, United States.ORCID http://orcid.org/0000-0003-1964-5549
Christine WenzelS-3 Research, San Diego, CA, United States.ORCID http://orcid.org/0000-0002-6219-9196
Nicolette LeGlobal Health Program, Department of Anthropology, University of California, San Diego, La Jolla, CA, United States.ORCID http://orcid.org/0000-0002-5260-9083
Zhuoran LiGlobal Health Policy and Data Institute, San Diego, CA, United States.ORCID http://orcid.org/0000-0001-6192-4301
Qing XuGlobal Health Policy and Data Institute, San Diego, CA, United States.ORCID http://orcid.org/0000-0002-4507-1094
Raphael E CuomoGlobal Health Policy and Data Institute, San Diego, CA, United States.ORCID http://orcid.org/0000-0002-8179-0619
Tim MackeyGlobal Health Program, Department of Anthropology, University of California, San Diego, La Jolla, CA, United States.ORCID http://orcid.org/0000-0002-2191-7833
University of California San Diego · USGlobal Policy Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite pediatric populations representing a smaller proportion of COVID-19 cases and having a less severe prognosis, those belonging to racial and ethnic minority groups are at an increased risk of developing more severe COVID-19-related outcomes. Vaccine coverage is crucial to pandemic mitigation efforts, yet since the start of the COVID-19 pandemic, vaccine hesitancy has increased and routine pediatric immunizations have decreased. Limited research exists on how vaccine hesitancy may contribute to low pediatric COVID-19 vaccine uptake among racial and ethnic minority populations. Objective: This study aimed to characterize COVID-19 vaccine-related discussion and sentiment among Twitter users, particularly among racial and ethnic minority users. Methods: We used the Twitter application programming interface to collect tweets and replies. Tweets were selected by filtering for keywords associated with COVID-19 vaccines and pediatric-related terms. From this corpus of tweets, we used the Biterm Topic Model to output topics and examined the top 200 retweeted tweets that were coded for pediatric COVID-19 vaccine relevance. Relevant tweets were analyzed using an inductive coding approach to characterize pediatric COVID-19 vaccine-related themes. Replies to relevant tweets were collected and coded. User metadata were assessed for self-reporting of race or ethnic group affiliation and verified account status. Results: A total of 863,007 tweets were collected from October 2020 to October 2021. After outputting Biterm Topic Model topics and reviewing the 200 most retweeted tweets, 208,666 tweets and 3905 replies were identified as being pediatric COVID-19 vaccine related. The majority (150,262/208,666, 72.01%) of tweets expressed vaccine-related concerns. Among tweets discussing vaccine confidence, user replies expressing agreement were significantly outweighed by those expressing disagreement (1016/3106, 32.71% vs 2090/3106, 67.29%; P<.001). The main themes identified in the Twitter interactions were conversations regarding vaccine-related concerns including adverse side effects, concerns that the vaccine is experimental or needs more testing and should not be tested on pediatric populations, the perception that the vaccine is unnecessary given the perceived low risk of pediatric infection, and conversations associated with vaccine-related confidence (ie, the vaccine is protective). Among signal tweets and replies, we identified 418 users who self-identified as a racial minority individual and 40 who self-identified as an ethnic minority individual. Among the subcodes identified in this study, the vaccine being protective was the most discussed topic by racial and ethnic minority groups (305/444, 68.7%). Conclusions: Vaccine-related concerns can have negative consequences on vaccine uptake and participation in vaccine-related clinical trials. This can impact the uptake and development of safe and effective vaccines, especially among racial and ethnic minority populations.

Indexed as

COVID-19 vaccinepediatric COVID-19 vaccinepediatric vaccineracial and ethnic minorityvaccine barriersvaccine beliefsvaccine facilitatorsvaccine hesitancyvaccine-related concernsvaccine-related confidence

Identifiers

PMID38038663
PMCPMC10706352
OpenAlexW4389222161

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.