Cargando…
The pig transport network in Switzerland: Structure, patterns, and implications for the transmission of infectious diseases between animal holdings
The topology of animal transport networks contributes substantially to how fast and to what extent a disease can transmit between animal holdings. Therefore, public authorities in many countries mandate livestock holdings to report all movements of animals. However, the reported data often does not...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6544307/ https://www.ncbi.nlm.nih.gov/pubmed/31150524 http://dx.doi.org/10.1371/journal.pone.0217974 |
_version_ | 1783423236533387264 |
---|---|
author | Sterchi, Martin Faverjon, Céline Sarasua, Cristina Vargas, Maria Elena Berezowski, John Bernstein, Abraham Grütter, Rolf Nathues, Heiko |
author_facet | Sterchi, Martin Faverjon, Céline Sarasua, Cristina Vargas, Maria Elena Berezowski, John Bernstein, Abraham Grütter, Rolf Nathues, Heiko |
author_sort | Sterchi, Martin |
collection | PubMed |
description | The topology of animal transport networks contributes substantially to how fast and to what extent a disease can transmit between animal holdings. Therefore, public authorities in many countries mandate livestock holdings to report all movements of animals. However, the reported data often does not contain information about the exact sequence of transports, making it impossible to assess the effect of truck sharing and truck contamination on disease transmission. The aim of this study was to analyze the topology of the Swiss pig transport network by means of social network analysis and to assess the implications for disease transmission between animal holdings. In particular, we studied how additional information about transport sequences changes the topology of the contact network. The study is based on the official animal movement database in Switzerland and a sample of transport data from one transport company. The results show that the Swiss pig transport network is highly fragmented, which mitigates the risk of a large-scale disease outbreak. By considering the time sequence of transports, we found that even in the worst case, only 0.34% of all farm-pairs were connected within one month. However, both network connectivity and individual connectedness of farms increased if truck sharing and especially truck contamination were considered. Therefore, the extent to which a disease may be transmitted between animal holdings may be underestimated if we only consider data from the official animal movement database. Our results highlight the need for a comprehensive analysis of contacts between farms that includes indirect contacts due to truck sharing and contamination. As the nature of animal transport networks is inherently temporal, we strongly suggest the use of temporal network measures in order to evaluate individual and overall risk of disease transmission through animal transportation. |
format | Online Article Text |
id | pubmed-6544307 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-65443072019-06-17 The pig transport network in Switzerland: Structure, patterns, and implications for the transmission of infectious diseases between animal holdings Sterchi, Martin Faverjon, Céline Sarasua, Cristina Vargas, Maria Elena Berezowski, John Bernstein, Abraham Grütter, Rolf Nathues, Heiko PLoS One Research Article The topology of animal transport networks contributes substantially to how fast and to what extent a disease can transmit between animal holdings. Therefore, public authorities in many countries mandate livestock holdings to report all movements of animals. However, the reported data often does not contain information about the exact sequence of transports, making it impossible to assess the effect of truck sharing and truck contamination on disease transmission. The aim of this study was to analyze the topology of the Swiss pig transport network by means of social network analysis and to assess the implications for disease transmission between animal holdings. In particular, we studied how additional information about transport sequences changes the topology of the contact network. The study is based on the official animal movement database in Switzerland and a sample of transport data from one transport company. The results show that the Swiss pig transport network is highly fragmented, which mitigates the risk of a large-scale disease outbreak. By considering the time sequence of transports, we found that even in the worst case, only 0.34% of all farm-pairs were connected within one month. However, both network connectivity and individual connectedness of farms increased if truck sharing and especially truck contamination were considered. Therefore, the extent to which a disease may be transmitted between animal holdings may be underestimated if we only consider data from the official animal movement database. Our results highlight the need for a comprehensive analysis of contacts between farms that includes indirect contacts due to truck sharing and contamination. As the nature of animal transport networks is inherently temporal, we strongly suggest the use of temporal network measures in order to evaluate individual and overall risk of disease transmission through animal transportation. Public Library of Science 2019-05-31 /pmc/articles/PMC6544307/ /pubmed/31150524 http://dx.doi.org/10.1371/journal.pone.0217974 Text en © 2019 Sterchi et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Sterchi, Martin Faverjon, Céline Sarasua, Cristina Vargas, Maria Elena Berezowski, John Bernstein, Abraham Grütter, Rolf Nathues, Heiko The pig transport network in Switzerland: Structure, patterns, and implications for the transmission of infectious diseases between animal holdings |
title | The pig transport network in Switzerland: Structure, patterns, and implications for the transmission of infectious diseases between animal holdings |
title_full | The pig transport network in Switzerland: Structure, patterns, and implications for the transmission of infectious diseases between animal holdings |
title_fullStr | The pig transport network in Switzerland: Structure, patterns, and implications for the transmission of infectious diseases between animal holdings |
title_full_unstemmed | The pig transport network in Switzerland: Structure, patterns, and implications for the transmission of infectious diseases between animal holdings |
title_short | The pig transport network in Switzerland: Structure, patterns, and implications for the transmission of infectious diseases between animal holdings |
title_sort | pig transport network in switzerland: structure, patterns, and implications for the transmission of infectious diseases between animal holdings |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6544307/ https://www.ncbi.nlm.nih.gov/pubmed/31150524 http://dx.doi.org/10.1371/journal.pone.0217974 |
work_keys_str_mv | AT sterchimartin thepigtransportnetworkinswitzerlandstructurepatternsandimplicationsforthetransmissionofinfectiousdiseasesbetweenanimalholdings AT faverjonceline thepigtransportnetworkinswitzerlandstructurepatternsandimplicationsforthetransmissionofinfectiousdiseasesbetweenanimalholdings AT sarasuacristina thepigtransportnetworkinswitzerlandstructurepatternsandimplicationsforthetransmissionofinfectiousdiseasesbetweenanimalholdings AT vargasmariaelena thepigtransportnetworkinswitzerlandstructurepatternsandimplicationsforthetransmissionofinfectiousdiseasesbetweenanimalholdings AT berezowskijohn thepigtransportnetworkinswitzerlandstructurepatternsandimplicationsforthetransmissionofinfectiousdiseasesbetweenanimalholdings AT bernsteinabraham thepigtransportnetworkinswitzerlandstructurepatternsandimplicationsforthetransmissionofinfectiousdiseasesbetweenanimalholdings AT grutterrolf thepigtransportnetworkinswitzerlandstructurepatternsandimplicationsforthetransmissionofinfectiousdiseasesbetweenanimalholdings AT nathuesheiko thepigtransportnetworkinswitzerlandstructurepatternsandimplicationsforthetransmissionofinfectiousdiseasesbetweenanimalholdings AT sterchimartin pigtransportnetworkinswitzerlandstructurepatternsandimplicationsforthetransmissionofinfectiousdiseasesbetweenanimalholdings AT faverjonceline pigtransportnetworkinswitzerlandstructurepatternsandimplicationsforthetransmissionofinfectiousdiseasesbetweenanimalholdings AT sarasuacristina pigtransportnetworkinswitzerlandstructurepatternsandimplicationsforthetransmissionofinfectiousdiseasesbetweenanimalholdings AT vargasmariaelena pigtransportnetworkinswitzerlandstructurepatternsandimplicationsforthetransmissionofinfectiousdiseasesbetweenanimalholdings AT berezowskijohn pigtransportnetworkinswitzerlandstructurepatternsandimplicationsforthetransmissionofinfectiousdiseasesbetweenanimalholdings AT bernsteinabraham pigtransportnetworkinswitzerlandstructurepatternsandimplicationsforthetransmissionofinfectiousdiseasesbetweenanimalholdings AT grutterrolf pigtransportnetworkinswitzerlandstructurepatternsandimplicationsforthetransmissionofinfectiousdiseasesbetweenanimalholdings AT nathuesheiko pigtransportnetworkinswitzerlandstructurepatternsandimplicationsforthetransmissionofinfectiousdiseasesbetweenanimalholdings |