Literature DB >> 34098961

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 Elsobky1, David Nganwa2, Gamal El Afandi3,4, Ahmed Byomi5, Gopal Reddy6, Ehsan Abdalla7.   

Abstract

BACKGROUND: The 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.
RESULTS: By 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.
CONCLUSION: It 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.

Entities:  

Keywords:  Egypt; HPAI-H5N1; Menoufia governorate; Monte Carlo simulations; Prevalence; Quantitative risk assessment; Sensitivity analysis

Year:  2021        PMID: 34098961     DOI: 10.1186/s12917-021-02917-7

Source DB:  PubMed          Journal:  BMC Vet Res        ISSN: 1746-6148            Impact factor:   2.741


  38 in total

1.  Phylogenetic analysis of hemagglutinin and neuraminidase genes of highly pathogenic avian influenza H5N1 Egyptian strains isolated from 2006 to 2008 indicates heterogeneity with multiple distinct sublineages.

Authors:  A Arafa; D L Suarez; M K Hassan; M M Aly
Journal:  Avian Dis       Date:  2010-03       Impact factor: 1.577

2.  Circulation of avian influenza H5N1 in live bird markets in Egypt.

Authors:  E M Abdelwhab; A A Selim; A Arafa; S Galal; W H Kilany; M K Hassan; M M Aly; M H Hafez
Journal:  Avian Dis       Date:  2010-06       Impact factor: 1.577

3.  Epidemiological findings of outbreaks of disease caused by highly pathogenic H5N1 avian influenza virus in poultry in Egypt during 2006.

Authors:  M M Aly; A Arafa; M K Hassan
Journal:  Avian Dis       Date:  2008-06       Impact factor: 1.577

4.  Isolation of H9N2 avian influenza virus from bobwhite quail (Colinus virginianus) in Egypt.

Authors:  Elham F El-Zoghby; Abdel-Satar Arafa; Mohamed K Hassan; Mona M Aly; Abdullah Selim; Walid H Kilany; Usama Selim; Soad Nasef; Mohamed G Aggor; E M Abdelwhab; Hafez M Hafez
Journal:  Arch Virol       Date:  2012-03-17       Impact factor: 2.574

5.  Genetic characterization of highly pathogenic H5N1 avian influenza viruses isolated from poultry farms in Egypt.

Authors:  Abd Elfattah H Eladl; Kamel I Abou El-Azm; Abd Elshakour N Ismail; Ahmed Ali; Yehia M Saif; Chang-Won Lee
Journal:  Virus Genes       Date:  2011-06-15       Impact factor: 2.332

6.  In vitro evolution of H5N1 avian influenza virus toward human-type receptor specificity.

Authors:  Li-Mei Chen; Ola Blixt; James Stevens; Aleksandr S Lipatov; Charles T Davis; Brian E Collins; Nancy J Cox; James C Paulson; Ruben O Donis
Journal:  Virology       Date:  2011-11-05       Impact factor: 3.616

7.  Avian influenza H5N1 virus infections in vaccinated commercial and backyard poultry in Egypt.

Authors:  M H Hafez; A Arafa; E M Abdelwhab; A Selim; S G Khoulosy; M K Hassan; M M Aly
Journal:  Poult Sci       Date:  2010-08       Impact factor: 3.352

8.  The epidemiological and molecular aspects of influenza H5N1 viruses at the human-animal interface in Egypt.

Authors:  Ghazi Kayali; Richard J Webby; Mariette F Ducatez; Rabeh A El Shesheny; Ahmed M Kandeil; Elena A Govorkova; Ahmed Mostafa; Mohamed A Ali
Journal:  PLoS One       Date:  2011-03-21       Impact factor: 3.240

9.  In Silico Prediction and Experimental Confirmation of HA Residues Conferring Enhanced Human Receptor Specificity of H5N1 Influenza A Viruses.

Authors:  Sonja Schmier; Ahmed Mostafa; Thomas Haarmann; Norbert Bannert; John Ziebuhr; Veljko Veljkovic; Ursula Dietrich; Stephan Pleschka
Journal:  Sci Rep       Date:  2015-06-19       Impact factor: 4.379

10.  Avian Influenza A(H5N1) Virus in Egypt.

Authors:  Ghazi Kayali; Ahmed Kandeil; Rabeh El-Shesheny; Ahmed S Kayed; Asmaa M Maatouq; Zhipeng Cai; Pamela P McKenzie; Richard J Webby; Samir El Refaey; Amr Kandeel; Mohamed A Ali
Journal:  Emerg Infect Dis       Date:  2016-03       Impact factor: 6.883

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