Assessing the mandatory bovine abortion notification system in France using unilist capture-recapture approach
The mandatory bovine abortion notification system in France aims to detect as soon as possible any resurgence of bovine brucellosis. However, under-reporting seems to be a major limitation of this system. We used a unilist capture-recapture approach to assess the sensitivity, i.e. the proportion of farmers who reported at least one abortion among those who detected such events, and representativeness of the system during 2006-2011. We implemented a zero-inflated Poisson model to estimate the proportion of farmers who detected at least one abortion, and among them, the proportion of farmers not reporting. We also applied a hurdle model to evaluate the effect of factors influencing the notification process. We found that the overall surveillance sensitivity was about 34%, and was higher in beef than dairy cattle farms. The observed increase in the proportion of notifying farmers from 2007 to 2009 resulted from an increase in the surveillance sensitivity in 2007/2008 and an increase in the proportion of farmers who detected at least one abortion in 2008/2009. These patterns suggest a raise in farmers' awareness in 2007/2008 when the Bluetongue Virus (BTV) was detected in France, followed by an increase in the number of abortions in 2008/2009 as BTV spread across the country. Our study indicated a lack of sensitivity of the mandatory bovine abortion notification system, raising concerns about the ability to detect brucellosis outbreaks early. With the increasing need to survey the zoonotic Rift Valley Fever and Q fever diseases that may also cause bovine abortions, our approach is of primary interest for animal health stakeholders to develop information programs to increase abortion notifications. Our framework combining hurdle and ZIP models may also be applied to estimate the completeness of other clinical surveillance systems.
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Format: | article biblioteca |
Language: | eng |
Subjects: | L73 - Maladies des animaux, D50 - Législation, L70 - Sciences et hygiène vétérinaires - Considérations générales, bovin, avortement, système d'information, déclaration, brucellose, fièvre, modèle mathématique, surveillance épidémiologique, contrôle de maladies, agriculteur, http://aims.fao.org/aos/agrovoc/c_1391, http://aims.fao.org/aos/agrovoc/c_22, http://aims.fao.org/aos/agrovoc/c_11769, http://aims.fao.org/aos/agrovoc/c_50197, http://aims.fao.org/aos/agrovoc/c_1122, http://aims.fao.org/aos/agrovoc/c_10810, http://aims.fao.org/aos/agrovoc/c_24199, http://aims.fao.org/aos/agrovoc/c_16411, http://aims.fao.org/aos/agrovoc/c_2327, http://aims.fao.org/aos/agrovoc/c_2805, http://aims.fao.org/aos/agrovoc/c_3081, |
Online Access: | http://agritrop.cirad.fr/569383/ http://agritrop.cirad.fr/569383/1/document_569383.pdf |
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dig-cirad-fr-5693832024-01-28T21:27:23Z http://agritrop.cirad.fr/569383/ http://agritrop.cirad.fr/569383/ Assessing the mandatory bovine abortion notification system in France using unilist capture-recapture approach. Bronner Anne-Christine, Hénaux Viviane, Vergne Timothée, Vinard Jean-Luc, Morignat Eric, Hendrikx Pascal, Calavas Didier, Gay Emilie. 2013. PloS One, 8 (4):e63246, 9 p.https://doi.org/10.1371/journal.pone.0063246 <https://doi.org/10.1371/journal.pone.0063246> Assessing the mandatory bovine abortion notification system in France using unilist capture-recapture approach Bronner, Anne-Christine Hénaux, Viviane Vergne, Timothée Vinard, Jean-Luc Morignat, Eric Hendrikx, Pascal Calavas, Didier Gay, Emilie eng 2013 PloS One L73 - Maladies des animaux D50 - Législation L70 - Sciences et hygiène vétérinaires - Considérations générales bovin avortement système d'information déclaration brucellose fièvre modèle mathématique surveillance épidémiologique contrôle de maladies agriculteur http://aims.fao.org/aos/agrovoc/c_1391 http://aims.fao.org/aos/agrovoc/c_22 http://aims.fao.org/aos/agrovoc/c_11769 http://aims.fao.org/aos/agrovoc/c_50197 http://aims.fao.org/aos/agrovoc/c_1122 http://aims.fao.org/aos/agrovoc/c_10810 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_16411 http://aims.fao.org/aos/agrovoc/c_2327 http://aims.fao.org/aos/agrovoc/c_2805 France http://aims.fao.org/aos/agrovoc/c_3081 The mandatory bovine abortion notification system in France aims to detect as soon as possible any resurgence of bovine brucellosis. However, under-reporting seems to be a major limitation of this system. We used a unilist capture-recapture approach to assess the sensitivity, i.e. the proportion of farmers who reported at least one abortion among those who detected such events, and representativeness of the system during 2006-2011. We implemented a zero-inflated Poisson model to estimate the proportion of farmers who detected at least one abortion, and among them, the proportion of farmers not reporting. We also applied a hurdle model to evaluate the effect of factors influencing the notification process. We found that the overall surveillance sensitivity was about 34%, and was higher in beef than dairy cattle farms. The observed increase in the proportion of notifying farmers from 2007 to 2009 resulted from an increase in the surveillance sensitivity in 2007/2008 and an increase in the proportion of farmers who detected at least one abortion in 2008/2009. These patterns suggest a raise in farmers' awareness in 2007/2008 when the Bluetongue Virus (BTV) was detected in France, followed by an increase in the number of abortions in 2008/2009 as BTV spread across the country. Our study indicated a lack of sensitivity of the mandatory bovine abortion notification system, raising concerns about the ability to detect brucellosis outbreaks early. With the increasing need to survey the zoonotic Rift Valley Fever and Q fever diseases that may also cause bovine abortions, our approach is of primary interest for animal health stakeholders to develop information programs to increase abortion notifications. Our framework combining hurdle and ZIP models may also be applied to estimate the completeness of other clinical surveillance systems. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/569383/1/document_569383.pdf application/pdf Cirad license info:eu-repo/semantics/openAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1371/journal.pone.0063246 10.1371/journal.pone.0063246 info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0063246 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1371/journal.pone.0063246 |
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L73 - Maladies des animaux D50 - Législation L70 - Sciences et hygiène vétérinaires - Considérations générales bovin avortement système d'information déclaration brucellose fièvre modèle mathématique surveillance épidémiologique contrôle de maladies agriculteur http://aims.fao.org/aos/agrovoc/c_1391 http://aims.fao.org/aos/agrovoc/c_22 http://aims.fao.org/aos/agrovoc/c_11769 http://aims.fao.org/aos/agrovoc/c_50197 http://aims.fao.org/aos/agrovoc/c_1122 http://aims.fao.org/aos/agrovoc/c_10810 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_16411 http://aims.fao.org/aos/agrovoc/c_2327 http://aims.fao.org/aos/agrovoc/c_2805 http://aims.fao.org/aos/agrovoc/c_3081 L73 - Maladies des animaux D50 - Législation L70 - Sciences et hygiène vétérinaires - Considérations générales bovin avortement système d'information déclaration brucellose fièvre modèle mathématique surveillance épidémiologique contrôle de maladies agriculteur http://aims.fao.org/aos/agrovoc/c_1391 http://aims.fao.org/aos/agrovoc/c_22 http://aims.fao.org/aos/agrovoc/c_11769 http://aims.fao.org/aos/agrovoc/c_50197 http://aims.fao.org/aos/agrovoc/c_1122 http://aims.fao.org/aos/agrovoc/c_10810 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_16411 http://aims.fao.org/aos/agrovoc/c_2327 http://aims.fao.org/aos/agrovoc/c_2805 http://aims.fao.org/aos/agrovoc/c_3081 |
spellingShingle |
L73 - Maladies des animaux D50 - Législation L70 - Sciences et hygiène vétérinaires - Considérations générales bovin avortement système d'information déclaration brucellose fièvre modèle mathématique surveillance épidémiologique contrôle de maladies agriculteur http://aims.fao.org/aos/agrovoc/c_1391 http://aims.fao.org/aos/agrovoc/c_22 http://aims.fao.org/aos/agrovoc/c_11769 http://aims.fao.org/aos/agrovoc/c_50197 http://aims.fao.org/aos/agrovoc/c_1122 http://aims.fao.org/aos/agrovoc/c_10810 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_16411 http://aims.fao.org/aos/agrovoc/c_2327 http://aims.fao.org/aos/agrovoc/c_2805 http://aims.fao.org/aos/agrovoc/c_3081 L73 - Maladies des animaux D50 - Législation L70 - Sciences et hygiène vétérinaires - Considérations générales bovin avortement système d'information déclaration brucellose fièvre modèle mathématique surveillance épidémiologique contrôle de maladies agriculteur http://aims.fao.org/aos/agrovoc/c_1391 http://aims.fao.org/aos/agrovoc/c_22 http://aims.fao.org/aos/agrovoc/c_11769 http://aims.fao.org/aos/agrovoc/c_50197 http://aims.fao.org/aos/agrovoc/c_1122 http://aims.fao.org/aos/agrovoc/c_10810 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_16411 http://aims.fao.org/aos/agrovoc/c_2327 http://aims.fao.org/aos/agrovoc/c_2805 http://aims.fao.org/aos/agrovoc/c_3081 Bronner, Anne-Christine Hénaux, Viviane Vergne, Timothée Vinard, Jean-Luc Morignat, Eric Hendrikx, Pascal Calavas, Didier Gay, Emilie Assessing the mandatory bovine abortion notification system in France using unilist capture-recapture approach |
description |
The mandatory bovine abortion notification system in France aims to detect as soon as possible any resurgence of bovine brucellosis. However, under-reporting seems to be a major limitation of this system. We used a unilist capture-recapture approach to assess the sensitivity, i.e. the proportion of farmers who reported at least one abortion among those who detected such events, and representativeness of the system during 2006-2011. We implemented a zero-inflated Poisson model to estimate the proportion of farmers who detected at least one abortion, and among them, the proportion of farmers not reporting. We also applied a hurdle model to evaluate the effect of factors influencing the notification process. We found that the overall surveillance sensitivity was about 34%, and was higher in beef than dairy cattle farms. The observed increase in the proportion of notifying farmers from 2007 to 2009 resulted from an increase in the surveillance sensitivity in 2007/2008 and an increase in the proportion of farmers who detected at least one abortion in 2008/2009. These patterns suggest a raise in farmers' awareness in 2007/2008 when the Bluetongue Virus (BTV) was detected in France, followed by an increase in the number of abortions in 2008/2009 as BTV spread across the country. Our study indicated a lack of sensitivity of the mandatory bovine abortion notification system, raising concerns about the ability to detect brucellosis outbreaks early. With the increasing need to survey the zoonotic Rift Valley Fever and Q fever diseases that may also cause bovine abortions, our approach is of primary interest for animal health stakeholders to develop information programs to increase abortion notifications. Our framework combining hurdle and ZIP models may also be applied to estimate the completeness of other clinical surveillance systems. |
format |
article |
topic_facet |
L73 - Maladies des animaux D50 - Législation L70 - Sciences et hygiène vétérinaires - Considérations générales bovin avortement système d'information déclaration brucellose fièvre modèle mathématique surveillance épidémiologique contrôle de maladies agriculteur http://aims.fao.org/aos/agrovoc/c_1391 http://aims.fao.org/aos/agrovoc/c_22 http://aims.fao.org/aos/agrovoc/c_11769 http://aims.fao.org/aos/agrovoc/c_50197 http://aims.fao.org/aos/agrovoc/c_1122 http://aims.fao.org/aos/agrovoc/c_10810 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_16411 http://aims.fao.org/aos/agrovoc/c_2327 http://aims.fao.org/aos/agrovoc/c_2805 http://aims.fao.org/aos/agrovoc/c_3081 |
author |
Bronner, Anne-Christine Hénaux, Viviane Vergne, Timothée Vinard, Jean-Luc Morignat, Eric Hendrikx, Pascal Calavas, Didier Gay, Emilie |
author_facet |
Bronner, Anne-Christine Hénaux, Viviane Vergne, Timothée Vinard, Jean-Luc Morignat, Eric Hendrikx, Pascal Calavas, Didier Gay, Emilie |
author_sort |
Bronner, Anne-Christine |
title |
Assessing the mandatory bovine abortion notification system in France using unilist capture-recapture approach |
title_short |
Assessing the mandatory bovine abortion notification system in France using unilist capture-recapture approach |
title_full |
Assessing the mandatory bovine abortion notification system in France using unilist capture-recapture approach |
title_fullStr |
Assessing the mandatory bovine abortion notification system in France using unilist capture-recapture approach |
title_full_unstemmed |
Assessing the mandatory bovine abortion notification system in France using unilist capture-recapture approach |
title_sort |
assessing the mandatory bovine abortion notification system in france using unilist capture-recapture approach |
url |
http://agritrop.cirad.fr/569383/ http://agritrop.cirad.fr/569383/1/document_569383.pdf |
work_keys_str_mv |
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