Evidence map›Paper›PMID 39449001›Full record

ArticleBMC public health2024

The effects of mass media messages, perceived susceptibility and self-rated health on public attitude towards COVID-19 in South Africa.

Chidiebere A Nwachukwu, Chukwuedozie K Ajaero, Ijeoma D Ajaero

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

  1. 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

3 authors.

Chidiebere A NwachukwuDepartment of Mass Communication, University of Nigeria Nsukka, Enugu, Nigeria.
Chukwuedozie K AjaeroDepartment of Geography, University of Nigeria Nsukka, Enugu, Nigeria. chukwuedozie.ajaero@unn.edu.ng.
Ijeoma D AjaeroDepartment of Mass Communication, University of Nigeria Nsukka, Enugu, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesSouth Africa was the worst affected country in Africa by the COVID-19 pandemic and it is important to interrogate the attitude of the populace towards the pandemic for future interventions. Therefore, this study examined effects of mass media messages, susceptibility to COVID-19 and self-rated health on the attitudes of South Africans towards the COVID-19 pandemic.

methodsData was from the National Income Dynamics Study - Coronavirus Rapid Mobile Survey (NIDS-CRAM) of 2021 which is a nationally representative panel survey of about 7,000 South African individuals in all the nine provinces. Analyses of data were through descriptive statistics, chi square test and logistic regression models.

resultsThe results showed that 61.28% of the resondents did not take COVID-19 test while 91.09% of them engaged in behavioral changes such as social distancing and wearing of face masks. In addition, 74.27% of the respondents had access to mass media information, 70.44% believed they have good physical health while 32.43% felt they were not susceptible to COVID-19. The chi-square results of attitude towards COVID-19 showed significant differences in access to mass media messages on COVID-19, race, and province of residence. Furthermore, respondents who had access to mass media information on COVID-19 (OR = 1.469; p = 0.001) and respondents who believed that they were susceptible to COVID-19 infection (OR = 1.443; p = 0.001) were significantly associated with increased likelihood of engagement in behavioral changes to avoid the COVID-19.

conclusionThese findings therefore emphasize the need for increased awareness and sensitization of the people about the susceptibility and adverse effects of diseases to ensure that they adopt the appropriate attitudes that will safeguard them from such diseases outbreak.

Indexed as

COVID-19Mass MediaAdolescentAdultAttitude to HealthDisease SusceptibilityFemaleHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedPublic OpinionSARS-CoV-2South AfricaSurveys and QuestionnairesYoung AdultCovid-19Mass mediaSelf-rated healthSouth AfricaSusceptibility

Identifiers

PMID39449001
PMCPMC11505730

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.