title: Assessing the mandatory bovine abortion notification system in France using unilist capture-recapture approach.
abstract: 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.
authors.affiliation: Agence nationale de sécurité sanitaire de l'alimentation, de l'environnement et du travail (Anses), Unité Epidémiologie du Laboratoire de Lyon, Lyon, France.
authors.forename: Anne
authors.initials: A
authors.lastname: Bronner
authors.forename: Viviane
authors.initials: V
authors.lastname: Hénaux
authors.forename: Timothée
authors.initials: T
authors.lastname: Vergne
authors.forename: Jean-Luc
authors.initials: JL
authors.lastname: Vinard
authors.forename: Eric
authors.initials: E
authors.lastname: Morignat
authors.forename: Pascal
authors.initials: P
authors.lastname: Hendrikx
authors.forename: Didier
authors.initials: D
authors.lastname: Calavas
authors.forename: Emilie
authors.initials: E
authors.lastname: Gay
mesh_terms: D000818:Animals; D002007:Brucellosis, Bovine / Q000453:epidemiology*; D002417:Cattle; D018563:Disease Notification / Q000379:methods*; D005260:Female; D005602:France; D019221:Mandatory Reporting; D015233:Models, Statistical; D011336:Probability