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The One Health Epidemiology of Avian Influenza Infection in Bangladesh: Lessons Learned from the Past 15 Years

Mohammad Mahmudul Hassan 1, 2
Pronesh Dutta 1
Md Mazharul Islam 3
Md Ahaduzzaman 1
Shovon Chakma 2
Ariful Islam 4, 5
Ricardo Magalhães 2
Тип публикацииJournal Article
Дата публикации2023-11-30
scimago Q1
wos Q1
БС1
SJR0.919
CiteScore9.6
Impact factor3.0
ISSN18651674, 18651682
General Medicine
General Immunology and Microbiology
General Veterinary
Краткое описание

Avian influenza viruses (AIVs) are significant transboundary zoonotic pathogens that concern both animal and human. Since the first report of H5N1 AIV in Bangladesh in early 2007, it resulted in numerous outbreaks across the country, hindering the sustainable growth of the poultry industry through economic losses in different production systems (commercial and backyard). Highly pathogenic avian influenza (HPAI) virus and low pathogenic avian influenza (LPAI) virus are currently cocirculating and causing infection in poultry sectors in an endemic manner in Bangladesh as well as in wild bird species. The introduction of multiple clades of H5N1 in different poultry species and the reassortment of AIVs with different patterns of infections have complicated the epidemiological situation for control and created conditions to increase the virulence of the virus, host range, and potential zoonotic transmission. The risk of viral transmission at the human–poultry interface is increasing over time due to inadequate surveillance and early detection strategies and practices, ineffective biosecurity practices among poultry raisers, and the complex supply chains of backyard and commercial poultry and live bird market (LBM) systems. Improving AIV surveillance in poultry flocks and LBMs, vaccination, biosecurity, and awareness among poultry professionals is beneficial to controlling the disease burden in the poultry sector. However, human cases of AIV related to poultry production and marketing chain in Bangladesh suggest a One Health approach engaging various stakeholders from the public and private would be a better option for successfully controlling avian influenza outbreaks in Bangladesh. This review of literature presents the comprehensive overview of AIV infection status in Bangladesh, including a description of pathways for zoonotic transmission at different epidemiological interfaces, the genetic evolution of the virus, and the need for improvement of disease control strategies incorporated with early detection, application of effective vaccines, increases the proper biosecurity practices and improvement of awareness among the poultry raisers, traders and consumers using a One Health approach.

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Emerging Microbes & Infections
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Hassan M. M. et al. The One Health Epidemiology of Avian Influenza Infection in Bangladesh: Lessons Learned from the Past 15 Years // Transboundary and Emerging Diseases. 2023. Vol. 2023. pp. 1-16.
ГОСТ со всеми авторами (до 50) Скопировать
Hassan M. M., Dutta P., Islam M. M., Ahaduzzaman M., Chakma S., Islam A., Magalhães R. The One Health Epidemiology of Avian Influenza Infection in Bangladesh: Lessons Learned from the Past 15 Years // Transboundary and Emerging Diseases. 2023. Vol. 2023. pp. 1-16.
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TY - JOUR
DO - 10.1155/2023/6981327
UR - https://doi.org/10.1155/2023/6981327
TI - The One Health Epidemiology of Avian Influenza Infection in Bangladesh: Lessons Learned from the Past 15 Years
T2 - Transboundary and Emerging Diseases
AU - Hassan, Mohammad Mahmudul
AU - Dutta, Pronesh
AU - Islam, Md Mazharul
AU - Ahaduzzaman, Md
AU - Chakma, Shovon
AU - Islam, Ariful
AU - Magalhães, Ricardo
PY - 2023
DA - 2023/11/30
PB - Wiley
SP - 1-16
VL - 2023
SN - 1865-1674
SN - 1865-1682
ER -
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@article{2023_Hassan,
author = {Mohammad Mahmudul Hassan and Pronesh Dutta and Md Mazharul Islam and Md Ahaduzzaman and Shovon Chakma and Ariful Islam and Ricardo Magalhães},
title = {The One Health Epidemiology of Avian Influenza Infection in Bangladesh: Lessons Learned from the Past 15 Years},
journal = {Transboundary and Emerging Diseases},
year = {2023},
volume = {2023},
publisher = {Wiley},
month = {nov},
url = {https://doi.org/10.1155/2023/6981327},
pages = {1--16},
doi = {10.1155/2023/6981327}
}