Evidence map›Paper›PMID 33254358›Full record

SynthesisEpidemiology and health2020

Distribution pattern and prevalence of West Nile virus infection in Nigeria from 1950 to 2020: a systematic review.

Idris Nasir Abdullahi, Anthony Uchenna Emeribe, Peter Elisha Ghamba, Pius Omoruyi Omosigho, Zakariyya Muhammad Bello, Bamidele Soji Oderinde, Samuel Ayobami Fasogbon, Lawal Olayemi, Isa Muhammad Daneji, Muhammad Hamis Musa and 6 more

Open access · diamondAbstract readSystematic Review
In one paragraph

Synthesis in Epidemiology and health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.

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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

16 authors at 12 institutions in 2 countries.

Idris Nasir AbdullahiDepartment of Medical Laboratory Science, Faculty of Allied Health Sciences, Ahmadu Bello University, Zaria, Nigeria.
Anthony Uchenna EmeribeDepartment of Medical Laboratory Science, Faculty of Allied Medical Sciences, University of Calabar, Calabar, Nigeria.
Peter Elisha GhambaWHO National Polio Laboratory, University of Maiduguri Teaching Hospital, Maiduguri, Nigeria.
Pius Omoruyi OmosighoDepartment of Medical Laboratory Science, Kwara State University, Malete, Nigeria.
Zakariyya Muhammad BelloDepartment of Medical Laboratory Science, Faculty of Allied Health Sciences, Ahmadu Bello University, Zaria, Nigeria.
Bamidele Soji OderindeDepartment of Medical Laboratory Science, Faculty of Allied Health Sciences, University of Maiduguri, Maiduguri, Nigeria.
Samuel Ayobami FasogbonPublic Health In-vitro Diagnostic Control Laboratory, Medical Laboratory Science Council of Nigeria, Lagos, Nigeria.
Lawal OlayemiDepartment of Medicine, National University of Samoa, Samoa.
Isa Muhammad DanejiDepartment of Medical Microbiology and Parasitology, Faculty of Clinical Sciences, Bayero University, Kano, Nigeria.
Muhammad Hamis MusaDepartment of Medical Microbiology and Parasitology, Faculty of Clinical Sciences, Bayero University, Kano, Nigeria.
Justin Onyebuchi NwofeDepartment of Medical Laboratory Science, University of Nigeria, Nsukka, Nigeria.
Nkechi Blessing OnukegbeDepartment of Strategic Information and Research, Institute of Human Virology, Abuja, Nigeria.
Chukwudi Crescent OkumeDepartment of Medical Laboratory Service, University of Nigeria Teaching Hospital, Enugu, Nigeria.
Sanusi MusaDepartment of Medical Laboratory Science, Faculty of Allied Health Sciences, Ahmadu Bello University, Zaria, Nigeria.
Abubakar Muhammad GwarzoDepartment of Medical Microbiology and Parasitology, Federal University, Dutse, Nigeria.
Odunayo Oyetola Rahmat AjagbeSolina Center for International Development and Research, Abuja, Nigeria.
Ahmadu Bello University · NGBayero University Kano · NGUniversity of Maiduguri · NGFederal Medical Centre · NGInstitute of Human Virology · NGKwara State University · NGMedical Laboratory Science Council of Nigeria · NGNational University of Samoa · WSSolina Group (Nigeria) · NGUniversity of Calabar · NGUniversity of Nigeria · NGUniversity of Nigeria Teaching Hospital · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWest Nile virus (WNV) is a re-emerging mosquito-borne viral infection. This study investigated the pooled prevalence pattern and risk factors of WNV infection among humans and animals in Nigeria.

methodsA systematic review was conducted of eligible studies published in PubMed, Scopus, Google Scholar, and Web of Science from January 1, 1950 to August 30, 2020. Peer-reviewed cross-sectional studies describing WNV infections in humans and animals were systematically reviewed. Heterogeneity was assessed using the Cochrane Q statistic.

resultsEighteen out of 432 available search output were eligible and included for this study. Of which 13 and 5 were WNV studies on humans and animals, respectively. Although 61.5% of the human studies had a low risk of bias, they all had high heterogeneity. The South West geopolitical zone of Nigeria had the highest pooled prevalence of anti-WNV immunoglobulin M (IgM; 7.8% in humans). The pooled seroprevalence of anti-WNV IgM and immunoglobulin G (IgG) was 7.1% (95% confidence interval [CI], 5.9 to 8.3) and 76.5% (95% CI, 74.0 to 78.8), respectively. The WNV RNA prevalence was 1.9% (95% CI, 1.4 to 2.9), while 14.3% (95% CI, 12.9 to 15.8) had WNV-neutralizing antibodies. In animals, the pooled seroprevalence of anti-WNV IgM and IgG was 90.3% (95% CI, 84.3 to 94.6) and 3.5% (95% CI, 1.9 to 5.8), respectively, while 20.0% (95% CI, 12.9 to 21.4) had WNV-neutralizing antibodies. Age (odds ratio [OR], 3.73; 95% CI, 1.87 to 7.45; p<0.001) and level of education (no formal education: OR, 4.31; 95% CI, 1.08 to 17.2; p<0.05; primary: OR, 7.29; 95% CI, 1.80 to 29.6; p<0.01) were significant risk factors for WNV IgM seropositivity in humans.

conclusionsThe findings of this study highlight the endemicity of WNV in animals and humans in Nigeria and underscore the need for the One Health prevention and control approach.

Indexed as

AnimalsHumansNigeriaPrevalenceWest Nile FeverNigeriaOne HealthPooled prevalenceWest Nile virusZoonosis

Identifiers

PMID33254358
PMCPMC8137371
OpenAlexW3106836365

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.