STOC Free: An Innovative Framework to Compare Probability of Freedom From Infection in Heterogeneous Control Programmes
The existence, stage of eradication and design of control programmes (CPs) for diseases that are not regulated by the EU differ between Member States. When freedom from infection is reached or being pursued, safe trade is essential to protect or reach that status. The aim of STOC free, a collaborati...
| Main Authors: | , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2019-04-01
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| Series: | Frontiers in Veterinary Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/article/10.3389/fvets.2019.00133/full |
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| author | Annika M. van Roon Inge M. G. A. Santman-Berends Inge M. G. A. Santman-Berends David Graham Simon J. More Mirjam Nielen Aurélien Madouasse Mathilde Mercat Christine Fourichon Jörn Gethmann Jenny Frössling Ann Lindberg Carla Correia-Gomes George J. Gunn Carola Sauter-Louis Madeleine K. Henry Linda van Duijn Gerdien van Schaik Gerdien van Schaik |
| author_facet | Annika M. van Roon Inge M. G. A. Santman-Berends Inge M. G. A. Santman-Berends David Graham Simon J. More Mirjam Nielen Aurélien Madouasse Mathilde Mercat Christine Fourichon Jörn Gethmann Jenny Frössling Ann Lindberg Carla Correia-Gomes George J. Gunn Carola Sauter-Louis Madeleine K. Henry Linda van Duijn Gerdien van Schaik Gerdien van Schaik |
| author_sort | Annika M. van Roon |
| collection | DOAJ |
| description | The existence, stage of eradication and design of control programmes (CPs) for diseases that are not regulated by the EU differ between Member States. When freedom from infection is reached or being pursued, safe trade is essential to protect or reach that status. The aim of STOC free, a collaborative project between six countries, is to develop and validate a framework that enables a transparent and standardized comparison of confidence of freedom for CPs across herds, regions or countries. The framework consists of a model combined with a tool to facilitate the collection of the necessary parameters. All relevant actions taken in a CP are included in a Bayesian network model, which allows prior distributions for most parameters. In addition, frequency of occurrence and risk estimates for factors that influence either the probability of introduction or temporary misclassification leading to delayed detection of the infection are included in the model. Bovine viral diarrhea virus (BVDV) is used as an example disease. Many countries have CPs in place for BVDV and although elements of the CPs are similar, biosecurity measures and testing protocols, including types of tests and testing frequency, as well as target groups, differ widely. Although the initially developed framework is based on BVDV, the aim is to make it sufficiently generic to be adaptable to CPs for other diseases and possibly other species. Thus, STOC free will result in a single general framework, adaptable to multiple disease CPs, which aims to enhance the safety of trade. |
| first_indexed | 2024-12-14T00:16:38Z |
| format | Article |
| id | doaj.art-ce0d01f33a1143f0809c25221f2acb0a |
| institution | Directory Open Access Journal |
| issn | 2297-1769 |
| language | English |
| last_indexed | 2024-12-14T00:16:38Z |
| publishDate | 2019-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Veterinary Science |
| spelling | doaj.art-ce0d01f33a1143f0809c25221f2acb0a2022-12-21T23:25:30ZengFrontiers Media S.A.Frontiers in Veterinary Science2297-17692019-04-01610.3389/fvets.2019.00133434059STOC Free: An Innovative Framework to Compare Probability of Freedom From Infection in Heterogeneous Control ProgrammesAnnika M. van Roon0Inge M. G. A. Santman-Berends1Inge M. G. A. Santman-Berends2David Graham3Simon J. More4Mirjam Nielen5Aurélien Madouasse6Mathilde Mercat7Christine Fourichon8Jörn Gethmann9Jenny Frössling10Ann Lindberg11Carla Correia-Gomes12George J. Gunn13Carola Sauter-Louis14Madeleine K. Henry15Linda van Duijn16Gerdien van Schaik17Gerdien van Schaik18Department of Farm Animal Health, Faculty of Veterinary Medicine, Utrecht University, Utrecht, NetherlandsDepartment of Farm Animal Health, Faculty of Veterinary Medicine, Utrecht University, Utrecht, NetherlandsDepartment of Epidemiology, GD Animal Health, Deventer, NetherlandsAnimal Health Ireland, Carrick-on-Shannon, IrelandCentre for Veterinary Epidemiology and Risk Analysis, Veterinary Sciences Centre, University College Dublin, Dublin, IrelandDepartment of Farm Animal Health, Faculty of Veterinary Medicine, Utrecht University, Utrecht, NetherlandsBIOEPAR, INRA, Oniris, Université Bretagne Loire, Nantes, FranceBIOEPAR, INRA, Oniris, Université Bretagne Loire, Nantes, FranceBIOEPAR, INRA, Oniris, Université Bretagne Loire, Nantes, FranceFriedrich-Loeffler-Institut, Institute of Epidemiology, Greifswald, GermanySwedish National Veterinary Institute (SVA), Uppsala, SwedenSwedish National Veterinary Institute (SVA), Uppsala, SwedenSRUC (Scotland's Rural College), Edinburgh, United KingdomSRUC (Scotland's Rural College), Edinburgh, United KingdomFriedrich-Loeffler-Institut, Institute of Epidemiology, Greifswald, GermanySRUC (Scotland's Rural College), Edinburgh, United KingdomDepartment of Epidemiology, GD Animal Health, Deventer, NetherlandsDepartment of Farm Animal Health, Faculty of Veterinary Medicine, Utrecht University, Utrecht, NetherlandsDepartment of Epidemiology, GD Animal Health, Deventer, NetherlandsThe existence, stage of eradication and design of control programmes (CPs) for diseases that are not regulated by the EU differ between Member States. When freedom from infection is reached or being pursued, safe trade is essential to protect or reach that status. The aim of STOC free, a collaborative project between six countries, is to develop and validate a framework that enables a transparent and standardized comparison of confidence of freedom for CPs across herds, regions or countries. The framework consists of a model combined with a tool to facilitate the collection of the necessary parameters. All relevant actions taken in a CP are included in a Bayesian network model, which allows prior distributions for most parameters. In addition, frequency of occurrence and risk estimates for factors that influence either the probability of introduction or temporary misclassification leading to delayed detection of the infection are included in the model. Bovine viral diarrhea virus (BVDV) is used as an example disease. Many countries have CPs in place for BVDV and although elements of the CPs are similar, biosecurity measures and testing protocols, including types of tests and testing frequency, as well as target groups, differ widely. Although the initially developed framework is based on BVDV, the aim is to make it sufficiently generic to be adaptable to CPs for other diseases and possibly other species. Thus, STOC free will result in a single general framework, adaptable to multiple disease CPs, which aims to enhance the safety of trade.https://www.frontiersin.org/article/10.3389/fvets.2019.00133/fullcontrol programmesoutput-basedfreedom from diseasebovine viral diarrhea virusbayesian statistics |
| spellingShingle | Annika M. van Roon Inge M. G. A. Santman-Berends Inge M. G. A. Santman-Berends David Graham Simon J. More Mirjam Nielen Aurélien Madouasse Mathilde Mercat Christine Fourichon Jörn Gethmann Jenny Frössling Ann Lindberg Carla Correia-Gomes George J. Gunn Carola Sauter-Louis Madeleine K. Henry Linda van Duijn Gerdien van Schaik Gerdien van Schaik STOC Free: An Innovative Framework to Compare Probability of Freedom From Infection in Heterogeneous Control Programmes Frontiers in Veterinary Science control programmes output-based freedom from disease bovine viral diarrhea virus bayesian statistics |
| title | STOC Free: An Innovative Framework to Compare Probability of Freedom From Infection in Heterogeneous Control Programmes |
| title_full | STOC Free: An Innovative Framework to Compare Probability of Freedom From Infection in Heterogeneous Control Programmes |
| title_fullStr | STOC Free: An Innovative Framework to Compare Probability of Freedom From Infection in Heterogeneous Control Programmes |
| title_full_unstemmed | STOC Free: An Innovative Framework to Compare Probability of Freedom From Infection in Heterogeneous Control Programmes |
| title_short | STOC Free: An Innovative Framework to Compare Probability of Freedom From Infection in Heterogeneous Control Programmes |
| title_sort | stoc free an innovative framework to compare probability of freedom from infection in heterogeneous control programmes |
| topic | control programmes output-based freedom from disease bovine viral diarrhea virus bayesian statistics |
| url | https://www.frontiersin.org/article/10.3389/fvets.2019.00133/full |
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