Evidence map›Paper›PMID 34083945›Full record

ArticleVeterinary world2021

Epidemiological surveillance of H9N2 avian influenza virus infection among chickens in farms and backyards in Egypt 2015-2016.

Moataz Mohamed El-Sayed, Abdel Satar Arafa, Marwa Abdelmagid, Ahmed Ibrahim Youssef

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Article in Veterinary world, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 13 citations in OpenAlex.

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4 · The record

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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

4 authors at 1 institution in 1 country.

Moataz Mohamed El-SayedReference Laboratory for Veterinary Quality Control on Poultry Production, Animal Health Research Institute, P.O. Box 264, Dokki, Giza 12618, Egypt.
Abdel Satar ArafaReference Laboratory for Veterinary Quality Control on Poultry Production, Animal Health Research Institute, P.O. Box 264, Dokki, Giza 12618, Egypt.
Marwa AbdelmagidReference Laboratory for Veterinary Quality Control on Poultry Production, Animal Health Research Institute, P.O. Box 264, Dokki, Giza 12618, Egypt.
Ahmed Ibrahim YoussefAnimal Hygiene and Zoonoses, Faculty of Veterinary Medicine, Suez Canal University, Ismailia, 41522, Egypt.
Suez Canal University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimLPAI H9N2 infection among the poultry population in Egypt constitutes an additional risk factor in the poultry industry. This study aimed to determine the prevalence of H9N2 avian influenza virus (AIV) in commercial and backyard chickens in Egypt. A 2-year survey of H9N2 AIV in chickens in farms and backyards was carried out in 2015 and 2016. MATERIALS AND

methodsDirect detection of H9N2 AIV was performed by detecting the virus in tracheal and cloacal swabs using real-time polymerase chain reaction assays. A total of 20,421 samples were collected from chickens in farms and backyards in 26 Egyptian governorates.

resultsIn 2015, cases positive for H9N2 AIV numbered 388 (3.9%) out of 10,016 examined cases. However, in 2016, the total positive cases numbered 447 (4.3%) out of 10,405 examined cases. The prevalence of H9N2 AIV among chickens on commercial farms was 4.6% out of the 16,666 chickens examined. The rates of positive cases in 2015 and 2016 were 4.4% (349/7884) and 4.7% (417/8782), respectively. The prevalence of H9N2 AIV in backyard chickens was 1.8% (69/3755). The rates of positive cases in backyard chickens were 1.8% (39/2132) in 2015 and again 1.8% (30/1623) in 2016. The highest positivity rate of H9N2 in chicken farms was in Beni-Suef (61.5%) (8/13), whereas the highest positivity rate in backyard chickens was in Fayoum (8.2%) (8/97).

conclusionThe analysis of H9N2 infections among chicken farms and in backyard chickens in the different governorates of Egypt over 2 years indicated widespread infection throughout the country. Thus, continuous surveillance and implementation of control programs are warranted.

Indexed as

EgyptH9N2 avian influenza virusinfluenzasurveillance

Identifiers

PMID34083945
PMCPMC8167522
OpenAlexW3155743755

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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.