A between-herd data-driven stochastic model to explore the spatio-temporal spread of hepatitis E virus in the French pig production network.
Hepatitis E virus is a zoonotic pathogen for which pigs are recognized as the major reservoir in industrialised countries. A multiscale model was developed to assess the HEV transmission and persistence pattern in the pig production sector through an integrative approach taking into account within-f...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2020-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0230257 |
| _version_ | 1819142727638450176 |
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| author | Morgane Salines Mathieu Andraud Nicolas Rose Stefan Widgren |
| author_facet | Morgane Salines Mathieu Andraud Nicolas Rose Stefan Widgren |
| author_sort | Morgane Salines |
| collection | DOAJ |
| description | Hepatitis E virus is a zoonotic pathogen for which pigs are recognized as the major reservoir in industrialised countries. A multiscale model was developed to assess the HEV transmission and persistence pattern in the pig production sector through an integrative approach taking into account within-farm dynamics and animal movements based on actual data. Within-farm dynamics included both demographic and epidemiological processes. Direct contact and environmental transmission routes were considered along with the possible co-infection with immunomodulating viruses (IMVs) known to modify HEV infection dynamics. Movements were limited to 3,017 herds forming the largest community on the swine commercial network in France and data from the national pig movement database were used to build the contact matrix. Between-herd transmission was modelled by coupling within-herd and network dynamics using the SimInf package. Different introduction scenarios were tested as well as a decrease in the prevalence of IMV-infected farms. After introduction of a single infected gilt, the model showed that the transmission pathway as well as the prevalence of HEV-infected pigs at slaughter age were affected by the type of the index farm, the health status of the population and the type of the infected farms. These outcomes could help design HEV control strategies at a territorial scale based on the assessment of the farms' and network's risk. |
| first_indexed | 2024-12-22T12:14:57Z |
| format | Article |
| id | doaj.art-0a132339809f42e19b8ed62f837a9243 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-22T12:14:57Z |
| publishDate | 2020-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-0a132339809f42e19b8ed62f837a92432022-12-21T18:26:09ZengPublic Library of Science (PLoS)PLoS ONE1932-62032020-01-01157e023025710.1371/journal.pone.0230257A between-herd data-driven stochastic model to explore the spatio-temporal spread of hepatitis E virus in the French pig production network.Morgane SalinesMathieu AndraudNicolas RoseStefan WidgrenHepatitis E virus is a zoonotic pathogen for which pigs are recognized as the major reservoir in industrialised countries. A multiscale model was developed to assess the HEV transmission and persistence pattern in the pig production sector through an integrative approach taking into account within-farm dynamics and animal movements based on actual data. Within-farm dynamics included both demographic and epidemiological processes. Direct contact and environmental transmission routes were considered along with the possible co-infection with immunomodulating viruses (IMVs) known to modify HEV infection dynamics. Movements were limited to 3,017 herds forming the largest community on the swine commercial network in France and data from the national pig movement database were used to build the contact matrix. Between-herd transmission was modelled by coupling within-herd and network dynamics using the SimInf package. Different introduction scenarios were tested as well as a decrease in the prevalence of IMV-infected farms. After introduction of a single infected gilt, the model showed that the transmission pathway as well as the prevalence of HEV-infected pigs at slaughter age were affected by the type of the index farm, the health status of the population and the type of the infected farms. These outcomes could help design HEV control strategies at a territorial scale based on the assessment of the farms' and network's risk.https://doi.org/10.1371/journal.pone.0230257 |
| spellingShingle | Morgane Salines Mathieu Andraud Nicolas Rose Stefan Widgren A between-herd data-driven stochastic model to explore the spatio-temporal spread of hepatitis E virus in the French pig production network. PLoS ONE |
| title | A between-herd data-driven stochastic model to explore the spatio-temporal spread of hepatitis E virus in the French pig production network. |
| title_full | A between-herd data-driven stochastic model to explore the spatio-temporal spread of hepatitis E virus in the French pig production network. |
| title_fullStr | A between-herd data-driven stochastic model to explore the spatio-temporal spread of hepatitis E virus in the French pig production network. |
| title_full_unstemmed | A between-herd data-driven stochastic model to explore the spatio-temporal spread of hepatitis E virus in the French pig production network. |
| title_short | A between-herd data-driven stochastic model to explore the spatio-temporal spread of hepatitis E virus in the French pig production network. |
| title_sort | between herd data driven stochastic model to explore the spatio temporal spread of hepatitis e virus in the french pig production network |
| url | https://doi.org/10.1371/journal.pone.0230257 |
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