Evidence map›Paper›PMID 36162486›Full record

ArticlePreventive medicine2022

Multilevel determinants on COVID-19 booster intention among Americans.

Feng Hao

Abstract read
In one paragraph

Article in Preventive medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

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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

1 author.

Feng HaoDepartment of Sociology, University of South Florida, 4202 E. Fowler Avenue, Tampa, FL 33620, USA. Electronic address: fenghao@usf.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pandemic has disrupted public health and social well-being for more than two years. With the vaccine efficacy waning over time and the spread of new variants, a booster becomes increasingly imperative. This study investigates predictors of the American public's COVID-19 booster intention. A national survey was conducted from September 23rd to October 31st, 2021, on a representative sample. The survey data is merged with state-level indicators of vaccination rate, case rate, political context, and economic recovery. Multilevel regression modeling is adopted for statistical estimation. Results show that a higher proportion of vaccinated people in the network is positively related to one's chance of getting the booster (β = 0.593, p = 0.000). In comparison, a higher proportion of infected people in the network is negatively related to one's intention to become boosted (β = -0.240, p = 0.039). Additionally, the higher educated (β = 0.080, p = 0.001) and older (β = 0.004, p = 0.013) were more likely to say they would get the booster than their counterparts. Meanwhile, the odds of people taking the COVID-19 booster decrease by 3.541 points (p = 0.002) for each unit increase in the case rate at the state level. This study articulates that individual intention to take the booster is a function of their personal characteristics and is also rooted in social networks. These findings contribute to the literature and have policy implications. Knowledge of the profiles among people who intend to take/refuse the booster provides essential information to leverage certain factors and maximize booster uptake to mitigate the pandemic's devastating impact.

Indexed as

COVID-19HumansIntentionPandemicsSurveys and QuestionnairesUnited StatesVaccinationBooster intentionCOVID-19Multilevel predictorsSocial network

Identifiers

PMID36162486
PMCPMC9502435

What OpenQuestion holds

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Registered trials

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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.