Evidence map›Paper›PMID 36313264›Full record

ArticleScientific African2022

Perceived risk of COVID-19 diagnosis and stigma among Nigerians.

Darlingtina Esiaka, Candidus Nwakasi, Kafayat Mahmoud, Aaron Akpu Philip

Abstract read
In one paragraph

Article in Scientific African, 2022. 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
–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

2 citing papers in PubMed.

  1. Review
  2. COVID-19: Experiences of Social Workers Supporting Older Adults With Dementia in Nigeria.Inquiry : a journal of medical care organization, provision and financing
    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

4 authors.

Darlingtina EsiakaDepartment of Family Medicine & Community Health, Rutgers University, NJ, USA.
Candidus NwakasiDepartment of Health Policy and Management, Providence College, Rhode Island, USA.
Kafayat MahmoudSDepartment of Sociology, University of Kansas, Lawrence, KS, USA.
Aaron Akpu PhilipSchool of Public Health & Social Work, Queensland University of Technology, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The World Health Organization (WHO) classified Nigeria as one of the 13 African countries with a higher risk of spreading COVID-19. Although the Nigerian government and its health agencies set directives in place to help curb the spread of COVID-19, there are instances of unconcerned attitudes and adherence to false and superstitious beliefs surrounding COVID-19 among Nigerians. The current study examined the general perception of COVID-19 risk among Nigerians. Additionally, it examined the fear of possible stigmatization if an individual is diagnosed with COVID-19. A cross-section of 332 Nigerian men and women responded to measures on perceived vulnerability to diseases, perception of risk of being infected with COVID-19, COVID-19 stigma, and social and demographic characteristics. The findings show that respondents with a higher perception of vulnerability to diseases reported higher COVID-19 risk and perception of COVID-19-related stigma. Further, we found that gender, age, and education impacted COVID-19 risk and perception of COVID-19-related stigma. Our findings suggest that risk perceptions and attitudes towards COVID-19 can impact the level of preparedness against a pandemic. Also, the findings could inform strategies for the proper implementation of health protective measures at national, state, and local government levels during a viral outbreak.

Indexed as

CoronavirusCOVID-19DiseasesRisk perceptionStigmatization

Identifiers

PMID36313264
PMCPMC9596177

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.