Evidence map›Paper›PMID 35236319›Full record

ArticleBMC public health2022

Longitudinal changes in COVID-19 vaccination intent among South African adults: evidence from the NIDS-CRAM panel survey, February to May 2021.

Ronelle Burger, Timothy Köhler, Aleksandra M Golos, Alison M Buttenheim, René English, Michele Tameris, Brendan Maughan-Brown

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
5.7field-weighted citation impact, top 3% 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

27 citing papers in PubMed, 38 citations in OpenAlex.

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  16. The SARS-COV-2 Seroprevalence among Oncology Patients.Journal of clinical medicine · 2023
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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

7 authors at 3 institutions in 2 countries.

Ronelle BurgerResearch on Socio-Economic Policy, Department of Economics, Stellenbosch University, Stellenbosch, South Africa.
Timothy KöhlerDevelopment Policy Research Unit, School of Economics, University of Cape Town, Cape Town, South Africa.
Aleksandra M GolosDepartment of Family and Community Health, University of Pennsylvania School of Nursing, 416 Fagin Hall, 418 Curie Blvd, Philadelphia, PA, 19104, USA. agolos@nursing.upenn.edu.
Alison M ButtenheimDepartment of Family and Community Health, University of Pennsylvania School of Nursing, 416 Fagin Hall, 418 Curie Blvd, Philadelphia, PA, 19104, USA.
René EnglishDivision of Health Systems and Public Health. Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Stellenbosch, South Africa.
Michele TamerisSouth African Tuberculosis Vaccine Initiative, Department of Pathology, Institute of Infectious Diseases and Molecular Medicine, University of Cape Town, Cape Town, South Africa.
Brendan Maughan-BrownSouthern Africa Labour and Development Research Unit, School of Economics, University of Cape Town, Cape Town, South Africa.
University of Cape Town · ZAStellenbosch University · ZAUniversity of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 vaccine hesitancy has threatened the ability of many countries worldwide to contain the pandemic. Given the severe impact of the pandemic in South Africa and disruptions to the roll-out of the vaccine in early 2021, slower-than-expected uptake is a pressing public health challenge in the country. We examined longitudinal changes in COVID-19 vaccination intent among South African adults, as well as determinants of intent to receive a vaccine.

methodsWe used longitudinal data from Wave 4 (February/March 2021) and Wave 5 (April/May 2021) of the National Income Dynamics Study: Coronavirus Rapid Mobile Survey (NIDS-CRAM), a national and broadly representative panel survey of adults in South Africa. We conducted cross-sectional analyses on aggregate and between-group variation in vaccination intent, examined individual-level changes between waves, and modeled demographic predictors of intent.

resultsWe analysed data for 5629 (Wave 4; 48% male, mean age 41.5 years) and 5862 (Wave 5; 48% male, mean age 41.6 years) respondents. Willingness to get a COVID-19 vaccine significantly increased from 70.8% (95% CI: 68.5-73.1) in Wave 4 to 76.1% (95% CI: 74.2-77.8) in Wave 5. Individual-level analyses indicated that only 6.6% of respondents remained strongly hesitant between survey waves. Although respondents aged 18-24 years were 8.5 percentage points more likely to report hesitancy, hesitant respondents in this group were 5.6 percentage points more likely to change their minds by Wave 5. Concerns about rushed testing and safety of the vaccines were frequent and strongly-held reasons for hesitancy.

conclusionsWillingness to receive a COVID-19 vaccine has increased among adults in South Africa, and those who were entrenched in their reluctance make up a small proportion of the country's population. Younger adults, those in formal housing, and those who trusted COVID-19 information on social media were more likely to be hesitant. Given that stated vaccination intent may not translate into behaviour, our finding that three-quarters of the population were willing to accept the vaccine may reflect an upper bound. Vaccination promotion campaigns should continue to frame vaccine acceptance as the norm and tailor strategies to different demographic groups.

Indexed as

COVID-19COVID-19 VaccinesAdolescentAdultCross-Sectional StudiesFemaleHumansMaleSARS-CoV-2VaccinationYoung AdultCOVID-19 VaccinesCOVID-19 vaccinePanel surveySouth AfricaVaccine acceptanceVaccine hesitancy

Identifiers

PMID35236319
PMCPMC8889513
OpenAlexW4214873920

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.