Evidence map›Paper›PMID 34098961›Full record

ArticleBMC veterinary research2021

A quantitative risk assessment to evaluate the efficacy of mitigation strategies to reduce highly pathogenic avian influenza virus, subtype H5N1 (HPAI H5N1) in the Menoufia governorate, Egypt.

Yumna Elsobky, David Nganwa, Gamal El Afandi, Ahmed Byomi, Gopal Reddy, Ehsan Abdalla

Open access · goldAbstract read
In one paragraph

Article in BMC veterinary research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 5 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 3 institutions in 2 countries.

Yumna ElsobkyDepartment of Hygiene and Zoonosis, Faculty of Vet. Medicine, University of Sadat City, Sadat City, Menofia, 32897, Egypt. yumna.elsobky@vet.usc.edu.eg.ORCID https://orcid.org/0000-0001-6881-3479
David NganwaDepartment of Pathobiology/Department of Graduate Public Health, College of Veterinary Medicine, Tuskegee University, Tuskegee, AL, 36088, USA.
Gamal El AfandiCollege of Agriculture, Environment and Nutrition Sciences, Tuskegee University, Tuskegee, AL, 36088, USA.
Ahmed ByomiDepartment of Hygiene and Zoonosis, Faculty of Vet. Medicine, University of Sadat City, Sadat City, Menofia, 32897, Egypt.
Gopal ReddyDepartment of Pathobiology, College of Veterinary Medicine, Tuskegee University, Tuskegee, AL, 36088, USA.
Ehsan AbdallaDepartment of Graduate Public Health, College of Veterinary Medicine, Tuskegee University, Tuskegee, AL, 36088, USA.
Tuskegee University · USUniversity of Sadat City · EGAl-Azhar University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe poultry industry in Egypt has been suffering from endemic highly pathogenic avian influenza (HPAI) virus, subtype H5N1 since 2006. However, the emergence of H9N2, H5N8, and H5N2 in 2011, 2016, and 2019 respectively, has aggravated the situation. Our objective was to evaluate how effective are the mitigation strategies by a Quantitative Risk Assessment (QRA) model which used daily outbreak data of HPAI-H5N1 subtype in Egypt, stratified by different successive epidemic waves from 2006 to 2016.

resultsBy applying the epidemiologic problem-oriented approach methodology, a conceptual scenario tree was drawn based on the knowledgebase. Monte Carlo simulations of QRA parameters based on outbreak data were performed using @Risk software based on a scenario-driven decision tree. In poultry farms, the expected probability of HPAI H5N1 prevalence is 48% due to failure of mitigation strategies in 90% of the time during Monte Carlo simulations. Failure of efficacy of these mitigations will raise prevalence to 70% with missed vaccination, while failure in detection by surveillance activities will raise it to 99%. In backyard poultry farms, the likelihood of still having a high HPAI-H5N1 prevalence in different poultry types due to failure of passive and active surveillance varies between domestic, mixed and reservoir. In mixed poultry, the probability of HPAI-H5N1 not detected by surveillance was the highest with a mean and a SD of 16.8 × 10-3 and 3.26 × 10-01 respectively. The sensitivity analysis ranking for the likelihood of HPAI-H5N1 in poultry farms due to missed vaccination, failure to be detected by passive and active surveillance was examined. Among poultry farms, increasing vaccination by 1 SD will decrease the prevalence by 14%, while active and passive surveillance decreases prevalence by 12, and 6%, respectively. In backyard, the active surveillance had high impact in decreasing the prevalence by 16% in domestic chicken. Whereas the passive surveillance had less impact in decreasing prevalence by 14% in mixed poultry and 3% in domestic chicken.

conclusionIt could be concluded that the applied strategies were not effective in controlling the spread of the HPAI-H5N1 virus. Public health officials should take into consideration the evaluation of their control strategies in their response.

Indexed as

ChickensInfluenza A Virus, H5N1 SubtypeAnimalsDisease OutbreaksEgyptInfluenza in BirdsInfluenza VaccinesModels, BiologicalMonte Carlo MethodPoultry DiseasesPrevalenceRisk AssessmentInfluenza VaccinesEgyptHPAI-H5N1Menoufia governorateMonte Carlo simulationsPrevalenceQuantitative risk assessmentSensitivity analysis

Identifiers

PMID34098961
PMCPMC8186133
OpenAlexW3118290696

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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.