Evidence map›Paper›PMID 38847856›Full record

SynthesisArchives of virology2024

Epidemiology of norovirus infection in Nigeria: a systematic review and meta-analysis.

Vincent N Chigor, Daniel C Digwo, Adedapo Adediji, Paul E Chidebelu, Chinyere B Chigor, Kenneth O Ugwu, Ini-Abasi I Ibangha, Renee Street, Kata Farkas

Abstract readSystematic ReviewMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Archives of virology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Increased circulation of GII.17 noroviruses, six European countries and the United States, 2023 to 2024.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2024
    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

9 authors.

Vincent N ChigorWater and Public Health Research Group (WPHRG), Department of Microbiology, Faculty of Biological Sciences, University of Nigeria, Nsukka, 410001, Nigeria. vincent.chigor@unn.edu.ng.ORCID http://orcid.org/0000-0002-0811-4526
Daniel C DigwoWater and Public Health Research Group (WPHRG), Department of Microbiology, Faculty of Biological Sciences, University of Nigeria, Nsukka, 410001, Nigeria.
Adedapo AdedijiWater and Public Health Research Group (WPHRG), Department of Microbiology, Faculty of Biological Sciences, University of Nigeria, Nsukka, 410001, Nigeria.
Paul E ChidebeluWater and Public Health Research Group (WPHRG), Department of Microbiology, Faculty of Biological Sciences, University of Nigeria, Nsukka, 410001, Nigeria.
Chinyere B ChigorWater and Public Health Research Group (WPHRG), Department of Microbiology, Faculty of Biological Sciences, University of Nigeria, Nsukka, 410001, Nigeria.
Kenneth O UgwuWater and Public Health Research Group (WPHRG), Department of Microbiology, Faculty of Biological Sciences, University of Nigeria, Nsukka, 410001, Nigeria.
Ini-Abasi I IbanghaWater and Public Health Research Group (WPHRG), Department of Microbiology, Faculty of Biological Sciences, University of Nigeria, Nsukka, 410001, Nigeria.
Renee StreetSouth African Medical Research Council, Environment & Health Research Unit, Durban, KwaZulu-Natal, South Africa.
Kata FarkasSchool of Ocean Sciences, Bangor University, Menai Bridge, Anglesey, LL59 5AB, United Kingdom.

Funding

Global Challenges Research Fund Environmental Water Samples for SARS-CoV-2Global Challenges Research Fund GCRF-NF252: Co-surveillance of WastewaterGlobal Challenges Research Fund Nigeria: IncidenceGlobal Challenges Research Fund Pathogenic Viruses in South AfricaGlobal Challenges Research Fund risks
6 · The paper itself

Abstract

Human norovirus (HuNoV) is responsible for most cases of gastroenteritis worldwide, but information about the prevalence and diversity of HuNoV infections in lower-income settings is lacking. In order to provide more information about the burden and distribution of norovirus in Nigeria, we systematically reviewed original published research articles on the prevalence of HuNoV in Nigeria by accessing databases, including PubMed, Web of Science, ScienceDirect, Google Scholar, and African Journals Online (AJOL). The protocol for the review was registered on PROSPERO (registration number CRD42022308857). Thirteen relevant articles were included in the review, and 10 of them were used for meta-analysis. The pooled prevalence of HuNoV-associated gastroenteritis among children below 5 years of age in Nigeria, determined using the random-effects model, was 10.9% (95% CI, 6.7-16.7%). Among children below the age of 5 presenting with HuNoV infections, the highest prevalence was in children ≤2 years old (n = 127, 83%). The prevalence of HuNoV infections was seen to decrease with increasing age. In addition, HuNoV was detected in asymptomatic food handlers, bats, and seafoods. A total of 85 sequences of HuNoV isolates from Nigeria have been determined, and based on those sequences, the most prevalent norovirus genogroup was GII (84%). Genotypes GII.4 and GI.3 were the most frequently identified genotypes, with GII.4 constituting 46% of all of the HuNoVs identified in Nigeria. These results suggest a risk associated with cocirculation of emerging variants with known genotypes because of their recombination potential. Larger molecular epidemiological studies are still needed to fully understand the extent and pattern of circulation of HuNoVs in Nigeria.

Indexed as

Caliciviridae InfectionsGastroenteritisNorovirusChild, PreschoolGenotypeHumansInfantInfant, NewbornNigeriaPhylogenyPrevalence

Identifiers

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.