Evidence map›Paper›PMID 36146838›Full record

ArticleViruses2022

Wild Bird Surveillance in the Gauteng Province of South Africa during the High-Risk Period for Highly Pathogenic Avian Influenza Virus Introduction.

Celia Abolnik, Thandeka P Phiri, Gerbrand van der Zel, Jade Anthony, Nadine Daniell, Liesl de Boni

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 7% 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, 1 synthesis or guideline pooled it, 24 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

6 authors at 2 institutions in 1 country.

Celia AbolnikDepartment of Production Animal Studies, Faculty of Veterinary Science, University of Pretoria, Onderstepoort 0110, South Africa.ORCID 0000-0003-3044-465X
Thandeka P PhiriDepartment of Production Animal Studies, Faculty of Veterinary Science, University of Pretoria, Onderstepoort 0110, South Africa.ORCID 0000-0002-0873-9614
Gerbrand van der ZelGauteng Department of Agriculture and Rural Development, Johannesburg 2000, South Africa.
Jade AnthonyDepartment of Production Animal Studies, Faculty of Veterinary Science, University of Pretoria, Onderstepoort 0110, South Africa.
Nadine DaniellDepartment of Production Animal Studies, Faculty of Veterinary Science, University of Pretoria, Onderstepoort 0110, South Africa.
Liesl de BoniGauteng Department of Agriculture and Rural Development, Johannesburg 2000, South Africa.
Onderstepoort Veterinary Academic Hospital · ZAGauteng Department of Agriculture and Rural Development · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Migratory birds carried clade 2.3.4.4B H5Nx highly pathogenic avian influenza (HPAI) viruses to South Africa in 2017, 2018 and 2021, where the Gauteng Province is a high-risk zone for virus introduction. Here, we combined environmental faecal sampling with sensitive rRT-PCR methods and direct Ion Torrent sequencing to survey wild populations between February and May 2022. An overall IAV incidence of 42.92% (100/231) in water bird faecal swab pools or swabs from moribund or dead European White Storks (

Indexed as

Influenza A Virus, H5N1 SubtypeInfluenza A Virus, H5N2 SubtypeInfluenza A Virus, H9N2 SubtypeInfluenza in BirdsStruthioniformesAnimalsAnimals, WildDucksPhylogenySouth AfricaWaterWateravian influenzaenvironmental faecal samplingH5N1H9N2wild bird surveillance

Identifiers

PMID36146838
PMCPMC9504564
OpenAlexW4296764707

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.