EPINEST, an agent-based model to simulate epidemic dynamics in large-scale poultry production and distribution networks

Detalhes bibliográficos
Autor(a) principal: Pinotti, Francesco
Data de Publicação: 2024
Outros Autores: Lourenço, José, Gupta, Sunetra, Gupta, Suman Das, Henning, Joerg, Blake, Damer, Tomley, Fiona, Barnett, Tony, Pfeiffer, Dirk, Hoque, Md Ahasanul, Fournié, Guillaume
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.14/44137
Resumo: The rapid intensification of poultry production raises important concerns about the associated risks of zoonotic infections. Here, we introduce EPINEST (EPIdemic NEtwork Simulation in poultry Transportation systems): an agent-based modelling framework designed to simulate pathogen transmission within realistic poultry production and distribution networks. We provide example applications to broiler production in Bangladesh, but the modular structure of the model allows for easy parameterization to suit specific countries and system configurations. Moreover, the framework enables the replication of a wide range of ecoepidemiological scenarios by incorporating diverse pathogen life-history traits, modes of transmission and interactions between multiple strains and/or pathogens. EPINEST was developed in the context of an interdisciplinary multi-centre study conducted in Bangladesh, India, Vietnam and Sri Lanka, and will facilitate the investigation of the spreading patterns of various health hazards such as avian influenza, Campylobacter, Salmonella and antimicrobial resistance in these countries. Furthermore, this modelling framework holds potential for broader application in veterinary epidemiology and One Health research, extending its relevance beyond poultry to encompass other livestock species and disease systems.
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spelling EPINEST, an agent-based model to simulate epidemic dynamics in large-scale poultry production and distribution networksThe rapid intensification of poultry production raises important concerns about the associated risks of zoonotic infections. Here, we introduce EPINEST (EPIdemic NEtwork Simulation in poultry Transportation systems): an agent-based modelling framework designed to simulate pathogen transmission within realistic poultry production and distribution networks. We provide example applications to broiler production in Bangladesh, but the modular structure of the model allows for easy parameterization to suit specific countries and system configurations. Moreover, the framework enables the replication of a wide range of ecoepidemiological scenarios by incorporating diverse pathogen life-history traits, modes of transmission and interactions between multiple strains and/or pathogens. EPINEST was developed in the context of an interdisciplinary multi-centre study conducted in Bangladesh, India, Vietnam and Sri Lanka, and will facilitate the investigation of the spreading patterns of various health hazards such as avian influenza, Campylobacter, Salmonella and antimicrobial resistance in these countries. Furthermore, this modelling framework holds potential for broader application in veterinary epidemiology and One Health research, extending its relevance beyond poultry to encompass other livestock species and disease systems.Veritati - Repositório Institucional da Universidade Católica PortuguesaPinotti, FrancescoLourenço, JoséGupta, SunetraGupta, Suman DasHenning, JoergBlake, DamerTomley, FionaBarnett, TonyPfeiffer, DirkHoque, Md AhasanulFournié, Guillaume2024-03-06T11:44:29Z2024-02-212024-02-21T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.14/44137eng1553-734X10.1371/journal.pcbi.10113758518572627438381804info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-12T01:38:53Zoai:repositorio.ucp.pt:10400.14/44137Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T04:00:21.578843Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv EPINEST, an agent-based model to simulate epidemic dynamics in large-scale poultry production and distribution networks
title EPINEST, an agent-based model to simulate epidemic dynamics in large-scale poultry production and distribution networks
spellingShingle EPINEST, an agent-based model to simulate epidemic dynamics in large-scale poultry production and distribution networks
Pinotti, Francesco
title_short EPINEST, an agent-based model to simulate epidemic dynamics in large-scale poultry production and distribution networks
title_full EPINEST, an agent-based model to simulate epidemic dynamics in large-scale poultry production and distribution networks
title_fullStr EPINEST, an agent-based model to simulate epidemic dynamics in large-scale poultry production and distribution networks
title_full_unstemmed EPINEST, an agent-based model to simulate epidemic dynamics in large-scale poultry production and distribution networks
title_sort EPINEST, an agent-based model to simulate epidemic dynamics in large-scale poultry production and distribution networks
author Pinotti, Francesco
author_facet Pinotti, Francesco
Lourenço, José
Gupta, Sunetra
Gupta, Suman Das
Henning, Joerg
Blake, Damer
Tomley, Fiona
Barnett, Tony
Pfeiffer, Dirk
Hoque, Md Ahasanul
Fournié, Guillaume
author_role author
author2 Lourenço, José
Gupta, Sunetra
Gupta, Suman Das
Henning, Joerg
Blake, Damer
Tomley, Fiona
Barnett, Tony
Pfeiffer, Dirk
Hoque, Md Ahasanul
Fournié, Guillaume
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Veritati - Repositório Institucional da Universidade Católica Portuguesa
dc.contributor.author.fl_str_mv Pinotti, Francesco
Lourenço, José
Gupta, Sunetra
Gupta, Suman Das
Henning, Joerg
Blake, Damer
Tomley, Fiona
Barnett, Tony
Pfeiffer, Dirk
Hoque, Md Ahasanul
Fournié, Guillaume
description The rapid intensification of poultry production raises important concerns about the associated risks of zoonotic infections. Here, we introduce EPINEST (EPIdemic NEtwork Simulation in poultry Transportation systems): an agent-based modelling framework designed to simulate pathogen transmission within realistic poultry production and distribution networks. We provide example applications to broiler production in Bangladesh, but the modular structure of the model allows for easy parameterization to suit specific countries and system configurations. Moreover, the framework enables the replication of a wide range of ecoepidemiological scenarios by incorporating diverse pathogen life-history traits, modes of transmission and interactions between multiple strains and/or pathogens. EPINEST was developed in the context of an interdisciplinary multi-centre study conducted in Bangladesh, India, Vietnam and Sri Lanka, and will facilitate the investigation of the spreading patterns of various health hazards such as avian influenza, Campylobacter, Salmonella and antimicrobial resistance in these countries. Furthermore, this modelling framework holds potential for broader application in veterinary epidemiology and One Health research, extending its relevance beyond poultry to encompass other livestock species and disease systems.
publishDate 2024
dc.date.none.fl_str_mv 2024-03-06T11:44:29Z
2024-02-21
2024-02-21T00:00:00Z
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10.1371/journal.pcbi.1011375
85185726274
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