Evidence map›Paper›PMID 37855218›Full record

ArticleJMIRx med2023

Seroprevalence of SARS-CoV-2 in Niger State: Pilot Cross-Sectional Study.

Hussaini Majiya, Mohammed Aliyu-Paiko, Vincent Tochukwu Balogu, Dickson Achimugu Musa, Ibrahim Maikudi Salihu, Abdullahi Abubakar Kawu, Ishaku Yakubu Bashir, Aishat Rabiu Sani, John Baba, Amina Tako Muhammad and 20 more

Open access · goldAbstract read
In one paragraph

Article in JMIRx med, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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  4. Article
  5. Article
  6. High Seroprevalence of SARS-CoV-2 in Mwanza, Northwestern Tanzania: A Population-Based Survey.International journal of environmental research and public health · 2022
    Article
  7. 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

30 authors at 3 institutions in 1 country.

Hussaini MajiyaDepartment of Microbiology, Ibrahim Badamasi Babangida University, Lapai, Nigeria.ORCID http://orcid.org/0000-0002-0254-4402
Mohammed Aliyu-PaikoCenter for Applied Sciences and Technology Research, Ibrahim Badamasi Babangida University, Lapai, Nigeria.ORCID http://orcid.org/0000-0003-3400-7588
Vincent Tochukwu BaloguDepartment of Microbiology, Ibrahim Badamasi Babangida University, Lapai, Nigeria.ORCID http://orcid.org/0000-0003-4807-2313
Dickson Achimugu MusaCenter for Applied Sciences and Technology Research, Ibrahim Badamasi Babangida University, Lapai, Nigeria.ORCID http://orcid.org/0000-0003-0738-4169
Ibrahim Maikudi SalihuCenter for Applied Sciences and Technology Research, Ibrahim Badamasi Babangida University, Lapai, Nigeria.ORCID http://orcid.org/0000-0002-2356-9238
Abdullahi Abubakar KawuCenter for Applied Sciences and Technology Research, Ibrahim Badamasi Babangida University, Lapai, Nigeria.ORCID http://orcid.org/0000-0003-2531-9539
Ishaku Yakubu BashirCenter for Applied Sciences and Technology Research, Ibrahim Badamasi Babangida University, Lapai, Nigeria.ORCID http://orcid.org/0000-0001-9471-5047
Aishat Rabiu SaniDepartment of Microbiology, Ibrahim Badamasi Babangida University, Lapai, Nigeria.ORCID http://orcid.org/0009-0001-6650-2359
John BabaDepartment of Microbiology, Ibrahim Badamasi Babangida University, Lapai, Nigeria.ORCID http://orcid.org/0000-0003-1594-121X
Amina Tako MuhammadCenter for Applied Sciences and Technology Research, Ibrahim Badamasi Babangida University, Lapai, Nigeria.ORCID http://orcid.org/0009-0004-7486-823X
Fatimah Ladidi JibrilDepartment of Microbiology, Ibrahim Badamasi Babangida University, Lapai, Nigeria.ORCID http://orcid.org/0009-0007-1192-4945
Ezekiel BalaDepartment of Microbiology, Ibrahim Badamasi Babangida University, Lapai, Nigeria.ORCID http://orcid.org/0000-0001-6135-5380
Nuhu George ObajeCenter for Applied Sciences and Technology Research, Ibrahim Badamasi Babangida University, Lapai, Nigeria.ORCID http://orcid.org/0000-0003-1472-5179
Yahaya Badeggi AliyuCenter for Applied Sciences and Technology Research, Ibrahim Badamasi Babangida University, Lapai, Nigeria.ORCID http://orcid.org/0000-0002-9551-2468
Ramatu Gogo MuhammadDepartment of Microbiology, Ibrahim Badamasi Babangida University, Lapai, Nigeria.ORCID http://orcid.org/0009-0001-6679-4611
Hadiza MohammedCenter for Applied Sciences and Technology Research, Ibrahim Badamasi Babangida University, Lapai, Nigeria.ORCID http://orcid.org/0009-0007-1737-6388
Usman Naji GimbaCenter for Applied Sciences and Technology Research, Ibrahim Badamasi Babangida University, Lapai, Nigeria.ORCID http://orcid.org/0000-0003-4183-1284
Abduljelili UthmanCenter for Applied Sciences and Technology Research, Ibrahim Badamasi Babangida University, Lapai, Nigeria.ORCID http://orcid.org/0000-0003-1416-1473
Hadiza Muhammad LimanCenter for Applied Sciences and Technology Research, Ibrahim Badamasi Babangida University, Lapai, Nigeria.ORCID http://orcid.org/0000-0002-4963-0850
Sule Alfa AlhajiGeneral Hospital, Minna, Nigeria.ORCID http://orcid.org/0009-0002-8559-3118
Joseph Kolo JamesNiger State Ministry of Health, Minna, Nigeria.ORCID http://orcid.org/0009-0003-7431-7182
Muhammad Muhammad MakusidiNiger State Ministry of Health, Minna, Nigeria.ORCID http://orcid.org/0009-0009-5214-6873
Mohammed Danasabe IsahGeneral Hospital, Minna, Nigeria.ORCID http://orcid.org/0000-0002-9505-7426
Ibrahim AbdullahiCenter for Applied Sciences and Technology Research, Ibrahim Badamasi Babangida University, Lapai, Nigeria.ORCID http://orcid.org/0000-0002-3467-1203
Umar NdagiTrans-Saharan Disease Research Center, Ibrahim Badamasi Babangida University, Lapai, Nigeria.ORCID http://orcid.org/0000-0001-5239-2227
Bala WaziriIbrahim Badamasi Babangida Specialised Hospital, Minna, Nigeria.ORCID http://orcid.org/0000-0001-6291-6610
Chindo Ibrahim BisallahDepartment of Microbiology, Ibrahim Badamasi Babangida University, Lapai, Nigeria.ORCID http://orcid.org/0000-0003-3441-9224
Naomi John Dadi-MamudCenter for Applied Sciences and Technology Research, Ibrahim Badamasi Babangida University, Lapai, Nigeria.ORCID http://orcid.org/0009-0005-7871-9044
Kolo IbrahimDepartment of Microbiology, Ibrahim Badamasi Babangida University, Lapai, Nigeria.ORCID http://orcid.org/0009-0009-6629-4658
Abu Kasim AdamuCenter for Applied Sciences and Technology Research, Ibrahim Badamasi Babangida University, Lapai, Nigeria.ORCID http://orcid.org/0009-0009-0045-5690
Ibrahim Badamasi Babangida University · NGFederal University of Technology Minna · NGNiger State Ministry of Health · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The COVID-19 pandemic caused by SARS-CoV-2 is causing ongoing human and socioeconomic losses. Objective: To know how far the virus has spread in Niger State, Nigeria, a pilot study was carried out to determine the SARS-CoV-2 seroprevalence, patterns, dynamics, and risk factors in the state. Methods: A cross-sectional study design and clustered, stratified random sampling strategy were used to select 185 test participants across the state. SARS-CoV-2 IgG and IgM rapid test kits (colloidal gold immunochromatography lateral flow system) were used to determine the presence or absence of antibodies to the virus in the blood of sampled participants across Niger State from June 26 to 30, 2020. The test kits were validated using the blood samples of some of the Nigeria Center for Disease Control-confirmed positive and negative COVID-19 cases in the state. SARS-CoV-2 IgG and IgM test results were entered into the Epi Info questionnaire administered simultaneously with each test. Epi Info was then used to calculate the arithmetic mean and percentage, odds ratio, χ2 statistic, and regression at a 95% CI of the data generated. Results: The seroprevalence of SARS-CoV-2 in Niger State was found to be 25.4% (47/185) and 2.2% (4/185) for the positive IgG and IgM results, respectively. Seroprevalence among age groups, genders, and occupations varied widely. The COVID-19 asymptomatic rate in the state was found to be 46.8% (22/47). The risk analyses showed that the chances of infection are almost the same for both urban and rural dwellers in the state. However, health care workers, those who experienced flulike symptoms, and those who had contact with a person who traveled out of Nigeria in the last 6 months (February to June 2020) were at double the risk of being infected with the virus. More than half (101/185, 54.6%) of the participants in this study did not practice social distancing at any time since the pandemic started. Participants' knowledge, attitudes, and practices regarding COVID-19 are also discussed. Conclusions: The observed Niger State SARS-CoV-2 seroprevalence and infection patterns meansuggest that the virus has widely spread, far more SARS-CoV-2 infections have occurred than the reported cases, and there is a high asymptomatic COVID-19 rate across the state.

Indexed as

COVID-19COVID-19 testingepidemiologyNigeriaNiger StatepandemicSARS-CoV-2serologyseroprevalencesocial distancing

Identifiers

PMID37855218
PMCPMC10595504
OpenAlexW4387765751

What OpenQuestion holds

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LicenceCC BY
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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.