Avian influenza transmission risk along live poultry trading networks in Bangladesh

Abstract Live animal markets are known hotspots of zoonotic disease emergence. To mitigate those risks, we need to understand how networks shaped by trading practices influence disease spread. Yet, those practices are rarely recorded in high-risk settings. Through a large cross-sectional study, we a...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Natalie Moyen, Md. Ahasanul Hoque, Rashed Mahmud, Mahmudul Hasan, Sudipta Sarkar, Paritosh Kumar Biswas, Hossain Mehedi, Joerg Henning, Punam Mangtani, Meerjady Sabrina Flora, Mahmudur Rahman, Nitish C. Debnath, Mohammad Giasuddin, Tony Barnett, Dirk U. Pfeiffer, Guillaume Fournié
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
R
Q
Acceso en línea:https://doaj.org/article/a0021a9b02c047e491a47502956db7ab
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:a0021a9b02c047e491a47502956db7ab
record_format dspace
spelling oai:doaj.org-article:a0021a9b02c047e491a47502956db7ab2021-12-02T18:07:52ZAvian influenza transmission risk along live poultry trading networks in Bangladesh10.1038/s41598-021-98989-42045-2322https://doaj.org/article/a0021a9b02c047e491a47502956db7ab2021-10-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-98989-4https://doaj.org/toc/2045-2322Abstract Live animal markets are known hotspots of zoonotic disease emergence. To mitigate those risks, we need to understand how networks shaped by trading practices influence disease spread. Yet, those practices are rarely recorded in high-risk settings. Through a large cross-sectional study, we assessed the potential impact of live poultry trading networks’ structures on avian influenza transmission dynamics in Bangladesh. Networks promoted mixing between chickens sourced from different farming systems and geographical locations, fostering co-circulation of viral strains of diverse origins in markets. Viral transmission models suggested that the observed rise in viral prevalence from farms to markets was unlikely explained by intra-market transmission alone, but substantially influenced by transmission occurring in upstream network nodes. Disease control interventions should therefore alter the entire network structures. However, as networks differed between chicken types and city supplied, standardised interventions are unlikely to be effective, and should be tailored to local structural characteristics.Natalie MoyenMd. Ahasanul HoqueRashed MahmudMahmudul HasanSudipta SarkarParitosh Kumar BiswasHossain MehediJoerg HenningPunam MangtaniMeerjady Sabrina FloraMahmudur RahmanNitish C. DebnathMohammad GiasuddinTony BarnettDirk U. PfeifferGuillaume FourniéNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Natalie Moyen
Md. Ahasanul Hoque
Rashed Mahmud
Mahmudul Hasan
Sudipta Sarkar
Paritosh Kumar Biswas
Hossain Mehedi
Joerg Henning
Punam Mangtani
Meerjady Sabrina Flora
Mahmudur Rahman
Nitish C. Debnath
Mohammad Giasuddin
Tony Barnett
Dirk U. Pfeiffer
Guillaume Fournié
Avian influenza transmission risk along live poultry trading networks in Bangladesh
description Abstract Live animal markets are known hotspots of zoonotic disease emergence. To mitigate those risks, we need to understand how networks shaped by trading practices influence disease spread. Yet, those practices are rarely recorded in high-risk settings. Through a large cross-sectional study, we assessed the potential impact of live poultry trading networks’ structures on avian influenza transmission dynamics in Bangladesh. Networks promoted mixing between chickens sourced from different farming systems and geographical locations, fostering co-circulation of viral strains of diverse origins in markets. Viral transmission models suggested that the observed rise in viral prevalence from farms to markets was unlikely explained by intra-market transmission alone, but substantially influenced by transmission occurring in upstream network nodes. Disease control interventions should therefore alter the entire network structures. However, as networks differed between chicken types and city supplied, standardised interventions are unlikely to be effective, and should be tailored to local structural characteristics.
format article
author Natalie Moyen
Md. Ahasanul Hoque
Rashed Mahmud
Mahmudul Hasan
Sudipta Sarkar
Paritosh Kumar Biswas
Hossain Mehedi
Joerg Henning
Punam Mangtani
Meerjady Sabrina Flora
Mahmudur Rahman
Nitish C. Debnath
Mohammad Giasuddin
Tony Barnett
Dirk U. Pfeiffer
Guillaume Fournié
author_facet Natalie Moyen
Md. Ahasanul Hoque
Rashed Mahmud
Mahmudul Hasan
Sudipta Sarkar
Paritosh Kumar Biswas
Hossain Mehedi
Joerg Henning
Punam Mangtani
Meerjady Sabrina Flora
Mahmudur Rahman
Nitish C. Debnath
Mohammad Giasuddin
Tony Barnett
Dirk U. Pfeiffer
Guillaume Fournié
author_sort Natalie Moyen
title Avian influenza transmission risk along live poultry trading networks in Bangladesh
title_short Avian influenza transmission risk along live poultry trading networks in Bangladesh
title_full Avian influenza transmission risk along live poultry trading networks in Bangladesh
title_fullStr Avian influenza transmission risk along live poultry trading networks in Bangladesh
title_full_unstemmed Avian influenza transmission risk along live poultry trading networks in Bangladesh
title_sort avian influenza transmission risk along live poultry trading networks in bangladesh
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/a0021a9b02c047e491a47502956db7ab
work_keys_str_mv AT nataliemoyen avianinfluenzatransmissionriskalonglivepoultrytradingnetworksinbangladesh
AT mdahasanulhoque avianinfluenzatransmissionriskalonglivepoultrytradingnetworksinbangladesh
AT rashedmahmud avianinfluenzatransmissionriskalonglivepoultrytradingnetworksinbangladesh
AT mahmudulhasan avianinfluenzatransmissionriskalonglivepoultrytradingnetworksinbangladesh
AT sudiptasarkar avianinfluenzatransmissionriskalonglivepoultrytradingnetworksinbangladesh
AT paritoshkumarbiswas avianinfluenzatransmissionriskalonglivepoultrytradingnetworksinbangladesh
AT hossainmehedi avianinfluenzatransmissionriskalonglivepoultrytradingnetworksinbangladesh
AT joerghenning avianinfluenzatransmissionriskalonglivepoultrytradingnetworksinbangladesh
AT punammangtani avianinfluenzatransmissionriskalonglivepoultrytradingnetworksinbangladesh
AT meerjadysabrinaflora avianinfluenzatransmissionriskalonglivepoultrytradingnetworksinbangladesh
AT mahmudurrahman avianinfluenzatransmissionriskalonglivepoultrytradingnetworksinbangladesh
AT nitishcdebnath avianinfluenzatransmissionriskalonglivepoultrytradingnetworksinbangladesh
AT mohammadgiasuddin avianinfluenzatransmissionriskalonglivepoultrytradingnetworksinbangladesh
AT tonybarnett avianinfluenzatransmissionriskalonglivepoultrytradingnetworksinbangladesh
AT dirkupfeiffer avianinfluenzatransmissionriskalonglivepoultrytradingnetworksinbangladesh
AT guillaumefournie avianinfluenzatransmissionriskalonglivepoultrytradingnetworksinbangladesh
_version_ 1718378647031644160