Modelling farm-to-farm disease transmission through personnel movements: from visits to contacts, and back

Abstract Infectious diseases in livestock can be transmitted through fomites: objects able to convey infectious agents. Between-farm spread of infections through fomites is mostly due to indirect contacts generated by on-farm visits of personnel that can carry pathogens on their clothes, equipment,...

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Autores principales:	Gianluigi Rossi, Rebecca L. Smith, Stefano Pongolini, Luca Bolzoni
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/bc69fa06e61f45ceb68c2691d0ebb94c
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spelling	oai:doaj.org-article:bc69fa06e61f45ceb68c2691d0ebb94c2021-12-02T16:06:24ZModelling farm-to-farm disease transmission through personnel movements: from visits to contacts, and back10.1038/s41598-017-02567-62045-2322https://doaj.org/article/bc69fa06e61f45ceb68c2691d0ebb94c2017-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-02567-6https://doaj.org/toc/2045-2322Abstract Infectious diseases in livestock can be transmitted through fomites: objects able to convey infectious agents. Between-farm spread of infections through fomites is mostly due to indirect contacts generated by on-farm visits of personnel that can carry pathogens on their clothes, equipment, or vehicles. However, data on farm visitors are often difficult to obtain because of the heterogeneity of their nature and privacy issues. Thus, models simulating disease spread between farms usually rely on strong assumptions about the contribution of indirect contacts on infection spread. By using data on veterinarian on-farm visits in a dairy farm system, we built a simple simulation model to assess the role of indirect contacts on epidemic dynamics compared to cattle movements (i.e. direct contacts). We showed that including in the simulation model only specific subsets of the information available on indirect contacts could lead to outputs widely different from those obtained with the full-information model. Then, we provided a simple preferential attachment algorithm based on the probability to observe consecutive on-farm visits from the same operator that allows overcoming the information gaps. Our results suggest the importance of detailed data and a deeper understanding of visit dynamics for the prevention and control of livestock diseases.Gianluigi RossiRebecca L. SmithStefano PongoliniLuca BolzoniNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Gianluigi Rossi Rebecca L. Smith Stefano Pongolini Luca Bolzoni Modelling farm-to-farm disease transmission through personnel movements: from visits to contacts, and back
description	Abstract Infectious diseases in livestock can be transmitted through fomites: objects able to convey infectious agents. Between-farm spread of infections through fomites is mostly due to indirect contacts generated by on-farm visits of personnel that can carry pathogens on their clothes, equipment, or vehicles. However, data on farm visitors are often difficult to obtain because of the heterogeneity of their nature and privacy issues. Thus, models simulating disease spread between farms usually rely on strong assumptions about the contribution of indirect contacts on infection spread. By using data on veterinarian on-farm visits in a dairy farm system, we built a simple simulation model to assess the role of indirect contacts on epidemic dynamics compared to cattle movements (i.e. direct contacts). We showed that including in the simulation model only specific subsets of the information available on indirect contacts could lead to outputs widely different from those obtained with the full-information model. Then, we provided a simple preferential attachment algorithm based on the probability to observe consecutive on-farm visits from the same operator that allows overcoming the information gaps. Our results suggest the importance of detailed data and a deeper understanding of visit dynamics for the prevention and control of livestock diseases.
format	article
author	Gianluigi Rossi Rebecca L. Smith Stefano Pongolini Luca Bolzoni
author_facet	Gianluigi Rossi Rebecca L. Smith Stefano Pongolini Luca Bolzoni
author_sort	Gianluigi Rossi
title	Modelling farm-to-farm disease transmission through personnel movements: from visits to contacts, and back
title_short	Modelling farm-to-farm disease transmission through personnel movements: from visits to contacts, and back
title_full	Modelling farm-to-farm disease transmission through personnel movements: from visits to contacts, and back
title_fullStr	Modelling farm-to-farm disease transmission through personnel movements: from visits to contacts, and back
title_full_unstemmed	Modelling farm-to-farm disease transmission through personnel movements: from visits to contacts, and back
title_sort	modelling farm-to-farm disease transmission through personnel movements: from visits to contacts, and back
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/bc69fa06e61f45ceb68c2691d0ebb94c
work_keys_str_mv	AT gianluigirossi modellingfarmtofarmdiseasetransmissionthroughpersonnelmovementsfromvisitstocontactsandback AT rebeccalsmith modellingfarmtofarmdiseasetransmissionthroughpersonnelmovementsfromvisitstocontactsandback AT stefanopongolini modellingfarmtofarmdiseasetransmissionthroughpersonnelmovementsfromvisitstocontactsandback AT lucabolzoni modellingfarmtofarmdiseasetransmissionthroughpersonnelmovementsfromvisitstocontactsandback
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Modelling farm-to-farm disease transmission through personnel movements: from visits to contacts, and back

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