Evidence map›Paper›PMID 35365542›Full record

ArticleBMJ open2022

Public risk perception and behaviours towards COVID-19 during the first and second waves in Nigeria: a secondary data analysis.

Chinwe Lucia Ochu, Michael Onoja, David Olatunji, Babasola O Okusanya, Ifeoma Sophia Usuwa, David O Akeju, Yahya Disu, Samuel Ojima Adejo, Sunday Eziechina, Gloria Nwiyi and 11 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. 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
1.4field-weighted citation impact, top 13% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. COVID-19 Pandemic: A Survey of its Knowledge and Risk Perception among Nigerians.Nigerian medical journal : journal of the Nigeria Medical Association
    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

21 authors at 5 institutions in 4 countries.

Chinwe Lucia OchuPrevention Programmes and Knowledge Management, Nigeria Centre for Disease Control, Abuja, Federal Capital Territory, Nigeria chinwe.ochu@ncdc.gov.ng.ORCID 0000-0002-0630-7332
Michael OnojaSurveillance and Epidemiology, Nigeria Centre for Disease Control, Abuja, Federal Capital Territory, Nigeria.
David OlatunjiPrevention Programmes and Knowledge Management, Nigeria Centre for Disease Control, Abuja, Federal Capital Territory, Nigeria.
Babasola O OkusanyaDepartment of Obstetrics and Gynaecology, College of Medicine, University of Lagos, Akoka, Lagos State, Nigeria.
Ifeoma Sophia UsuwaNigeria Field Epidemiology Training Programme, Nigeria Centre for Disease Control, Abuja, Federal Capital Territory, Nigeria.ORCID 0000-0002-9584-784X
David O AkejuDepartment of Sociology, University of Lagos, Lagos, Nigeria.
Yahya DisuPrevention Programmes and Knowledge Management, Nigeria Centre for Disease Control, Abuja, Federal Capital Territory, Nigeria.
Samuel Ojima AdejoDepartment of Social Works, University of Lagos, Lagos, Nigeria.
Sunday EziechinaPrevention Programmes and Knowledge Management, Nigeria Centre for Disease Control, Abuja, Federal Capital Territory, Nigeria.
Gloria NwiyiPrevention Programmes and Knowledge Management, Nigeria Centre for Disease Control, Abuja, Federal Capital Territory, Nigeria.
James Olatunde OkediranNigeria Field Epidemiology Training Programme, Nigeria Centre for Disease Control, Abuja, Federal Capital Territory, Nigeria.
Kelly Osezele ElimianDepartment of Global Public Health, Karolinska Institute, Stockholm, Stockholm, Sweden.ORCID 0000-0003-2729-1613
Oluwatosin Wuraola AkandePrevention Programmes and Knowledge Management, Nigeria Centre for Disease Control, Abuja, Federal Capital Territory, Nigeria.
Lauryn DunkwuAfrica Advisory, Tony Blair Institute for Global Change, Abuja, Federal Capital Territory, Nigeria.
Babafunke FagbemiDepartment of Management and Program, Center for Communication and Social Impact, Abuja, Federal Capital Territory, Nigeria.
Adolor AisiriDepartment of Research, Center for Communication and Social Impact, Abuja, Federal Capital Territory, Nigeria.
Emmanuel A AgogoNigeria Country Office, Resolve to Save Lives, Abuja, Federal Capital Territory, Nigeria.
Bassey EbensoNuffield Centre for International Health and Development, Leeds Institute of Health Sciences, University of Leeds Faculty of Medicine and Health, Leeds, UK.ORCID 0000-0003-4147-0968
David Adewale OkeDepartment of Medicine, College of Medicine, University of Lagos, Lagos, Nigeria.
Ehimario IgumborPrevention Programmes and Knowledge Management, Nigeria Centre for Disease Control, Abuja, Federal Capital Territory, Nigeria.
Chikwe IhekweazuOffice of the Director General, Nigeria Centre for Disease Control, Abuja, Federal Capital Territory, Nigeria.
Nigeria Centre for Disease Control · NGUniversity of Lagos · NGKarolinska Institutet · SENational Office for Technology Acquisition and Promotion · NGUniversity of Leeds · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo describe changes in public risk perception and risky behaviours during the first wave (W1) and second wave (W2) of COVID-19 in Nigeria, associated factors and observed trend of the outbreak.

designA secondary data analysis of cross-sectional telephone-based surveys conducted during the W1 and W2 of COVID-19 in Nigeria.

settingNigeria.

participantsData from participants randomly selected from all states in Nigeria. PRIMARY OUTCOME: Risk perception for COVID-19 infection categorised as risk perceived and risk not perceived. SECONDARY OUTCOME: Compliance to public health and social measures (PHSMs) categorised as compliant; non-compliant and indifferent. ANALYSIS: Comparison of frequencies during both waves using χ

resultsTriangulated datasets had a total of 6401 respondents, majority (49.5%) aged 25-35 years. Overall, 55.4% and 56.1% perceived themselves to be at risk of COVID-19 infection during the W1 and W2, respectively. A higher proportion of males than females perceived themselves to be at risk during the W1 (60.3% vs 50.3%, p<0.001) and the W2 (58.3% vs 52.6%, p<0.05). Residing in the south-west was associated with not perceiving oneself at risk of COVID-19 infection (W1-AOdds Ratio (AOR) 0.28; 95% CI 0.20 to 0.40; W2-AOR 0.71; 95% CI 0.52 to 0.97). There was significant increase in non-compliance to PHSMs in the W2 compared with W1. Non-compliance rate was higher among individuals who perceived themselves not to be at risk of getting infected (p<0.001).

conclusionRisk communication and community engagement geared towards increasing risk perception of COVID-19 should be implemented, particularly among the identified population groups. This could increase adherence to PHSMs and potentially reduce the burden of COVID-19 in Nigeria.

Indexed as

COVID-19AdultCross-Sectional StudiesData AnalysisFemaleHumansMaleNigeriaPerceptionCOVID-19epidemiologyinfection controlpublic health

Identifiers

PMID35365542
PMCPMC8977458
OpenAlexW4220785462

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.