2017
DOI: 10.1371/journal.pntd.0006048
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Longitudinal survey of two serotine bat (Eptesicus serotinus) maternity colonies exposed to EBLV-1 (European Bat Lyssavirus type 1): Assessment of survival and serological status variations using capture-recapture models

Abstract: This study describes two longitudinal serological surveys of European Bat Lyssavirus type 1 (EBLV-1) antibodies in serotine bat (Eptesicus serotinus) maternity colonies located in the North-East of France. This species is currently considered as the main EBLV-1 reservoir. Multievent capture-recapture models were used to determine the factors influencing bat rabies transmission as this method accounts for imperfect detection and uncertainty in disease states. Considering the period of study, analyses revealed t… Show more

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Cited by 22 publications
(46 citation statements)
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“…For instance, multi-site cross-sectional data could be integrated with single-site longitudinal data (e.g., Picard-Meyer et al 2011, Robardet et al 2017 to overcome the need of a priori knowledge on the host kinetics of the immune response, which is likely conserved within a species sampled across sites. The cross-sectional estimator can nonetheless be accurate for hosts with short lifespan and/or short antibody level persistence or when informed with reliable a priori knowledge on these parameters.…”
Section: Discussionmentioning
confidence: 99%
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“…For instance, multi-site cross-sectional data could be integrated with single-site longitudinal data (e.g., Picard-Meyer et al 2011, Robardet et al 2017 to overcome the need of a priori knowledge on the host kinetics of the immune response, which is likely conserved within a species sampled across sites. The cross-sectional estimator can nonetheless be accurate for hosts with short lifespan and/or short antibody level persistence or when informed with reliable a priori knowledge on these parameters.…”
Section: Discussionmentioning
confidence: 99%
“…We then estimated the survival, seroconversion, and seroreversion probabilities using the integrated estimator based on the best model retained in Robardet et al (2017), in which the resighting probability varies over time: /(. In parallel, during each of the eight capture occasions, n CS (20, 40, or 60) unmarked individuals were randomly captured and used to calculate the seroprevalence at each occasion (corresponding to the simulated cross-sectional data).…”
Section: Illustrative Examplementioning
confidence: 99%
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