EPINEST, an agent-based model to simulate epidemic dynamics in large-scale poultry production and distribution networks
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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Original language | English |
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Article number | e1011375 |
Journal / Publication | PLoS Computational Biology |
Volume | 20 |
Issue number | 2 |
Online published | 21 Feb 2024 |
Publication status | Published - Feb 2024 |
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Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-85185726274&origin=recordpage |
Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(e36013b4-6ac5-48d2-af9f-058a5df0a266).html |
Abstract
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. © 2024 Pinotti et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).
Citation Format(s)
EPINEST, an agent-based model to simulate epidemic dynamics in large-scale poultry production and distribution networks. / Pinotti, Francesco; Lourenço, José; Gupta, Sunetra et al.
In: PLoS Computational Biology, Vol. 20, No. 2, e1011375, 02.2024.
In: PLoS Computational Biology, Vol. 20, No. 2, e1011375, 02.2024.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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