New Insights on the Management of Wildlife Diseases Using Multi-State Recapture Models: The Case of Classical Swine Fever in Wild Boar

Rossi, Sophie; Toïgo, Carole; Hars, Jean; Pol, Françoise; Depner, Klaus; Potier, Marie‐Frédérique Le

doi:10.1371/journal.pone.0024257

Cited by 31 publications

(42 citation statements)

References 36 publications

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“…The tools to study the immune response in wild animal populations are, however, increasingly available (Garnier and Graham 2014) and are starting to be applied to wild animal populations that are the focus of long-term research programs (Lachish et al 2009;Graham et al 2010;Rossi et al 2011; ]; orange, chicks from females vaccinated 2 entire years before sampling [chicks ϩ3y ]; yellow, chicks from females vaccinated 4 years before sampling [chicks ϩ5y ]). In both cases, solid lines correspond to the mean for each group estimated using generalized additive mixed models (GAMMs), and colored regions around the means delimited by dashed lines represent the associated 95% confidence interval of the slopes.…”

Section: Acquired Immune Response In Long-lived Birdsmentioning

confidence: 99%

“…Yet very little is known about the dynamics of the immune response in natural populations of wild long-lived vertebrates (Staszewski et al 2007b;Miller and OleaPopelka 2009;Root et al 2010;Rossi et al 2011;Bodewes et al 2013). Most studies so far have focused on humans, livestock and poultry species, model laboratory animals, and relatively fast-living species (Feuer et al 1999;Frank 2002;Beal et al 2004;Bunikis et al 2004;Gibbs et al 2005;Kuenzi et al 2005;Henning et al 2006;Amanna et al 2007;Tizard 2013).…”

Section: Introductionmentioning

confidence: 99%

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Long Antibody Persistence and Transgenerational Transfer of Immunity in a Long-Lived Vertebrate

Ramos

Garnier

González‐Solís

et al. 2014

The American Naturalist

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JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact support@jstor.org.. abstract: Although little studied in natural populations, the persistence of immunoglobulins may dramatically affect the dynamics of immunity and the ecology and evolution of host-pathogen interactions involving vertebrate hosts. By means of a multiple-year vaccination design against Newcastle disease virus, we experimentally addressed whether levels of specific antibodies can persist over several years in females of a long-lived procellariiform seabird-Cory's shearwater-and whether maternal antibodies against that antigen could persist over a long period in offspring several years after the mother was exposed. We found that a single vaccination led to high levels of antibodies for several years and that the females transmitted antibodies to their offspring that persisted for several weeks after hatching even 5 years after a single vaccination. The temporal persistence of maternally transferred antibodies in nestlings was highly dependent on the level at hatching. A second vaccination boosted efficiently the level of antibodies in females and thus their transfer to offspring. Overall, these results stress the need to consider the temporal dynamics of immune responses if we are to understand the evolutionary ecology of host-parasite interactions and trade-offs between immunity and other life-history characteristics, in particular in long-lived species. They also have strong implications for conservation when vaccination may be used in natural populations facing disease threats.

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Section: Acquired Immune Response In Long-lived Birdsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Long Antibody Persistence and Transgenerational Transfer of Immunity in a Long-Lived Vertebrate

Ramos

Garnier

González‐Solís

et al. 2014

The American Naturalist

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“…This illustrates for instance the case of morbilliviruses such as CDV (15), measles, or rinderpest (36), classical swine fever (11) or rabbit haemorrhagic disease (25). For such types of diseases, the final data sets should comprise far more individuals in the R state—a “final” state, than in the S or the I states.…”

Section: Discussionmentioning

confidence: 99%

“…The assignment of infection states may depend on several diagnostic methods such as field observations of clinical signs and/or laboratory techniques including serology and/or molecular screening techniques [e.g., (11, 15)]. These diagnostic methods are often specific to the assignment of given infection state(s).…”

Section: Introductionmentioning

confidence: 99%

Robustness of Eco-Epidemiological Capture-Recapture Parameter Estimates to Variation in Infection State Uncertainty

et al. 2018

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Estimating eco-epidemiological parameters in free-ranging populations can be challenging. As known individuals may be undetected during a field session, or their health status uncertain, the collected data are typically “imperfect”. Multi-event capture-mark-recapture (MECMR) models constitute a substantial methodological advance by accounting for such imperfect data. In these models, animals can be “undetected” or “detected” at each time step. Detected animals can be assigned an infection state, such as “susceptible” (S), “infected” (I), or “recovered” (R), or an “unknown” (U) state, when for instance no biological sample could be collected. There may be heterogeneity in the assignment of infection states, depending on the manifestation of the disease in the host or the diagnostic method. For example, if obtaining the samples needed to prove viral infection in a detected animal is difficult, this can result in a low chance of assigning the I state. Currently, it is unknown how much uncertainty MECMR models can tolerate to provide reliable estimates of eco-epidemiological parameters and whether these parameters are sensitive to heterogeneity in the assignment of infection states. We used simulations to assess how estimates of the survival probability of individuals in different infection states and the probabilities of infection and recovery responded to (1) increasing infection state uncertainty (i.e., the proportion of U) from 20 to 90%, and (2) heterogeneity in the probability of assigning infection states. We simulated data, mimicking a highly virulent disease, and used SIR-MECMR models to quantify bias and precision. For most parameter estimates, bias increased and precision decreased gradually with state uncertainty. The probabilities of survival of I and R individuals and of detection of R individuals were very robust to increasing state uncertainty. In contrast, the probabilities of survival and detection of S individuals, and the infection and recovery probabilities showed high biases and low precisions when state uncertainty was >50%, particularly when the assignment of the S state was reduced. Considering this specific disease scenario, SIR-MECMR models are globally robust to state uncertainty and heterogeneity in state assignment, but the previously mentioned parameter estimates should be carefully interpreted if the proportion of U is high.

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“…These are sometimes used as covariates (Bonner et al 2010), for instance, for studying the relation between mass and survival, but it is often convenient to relate such non-discrete measurements to a state (Conn and Cooch 2009). For instance, a given measurement obtained using a specific immunological assay could be indicative of a probable seropositive status of the individual (Rossi et al 2010, Chambert et al 2012. As another example, a given stable-isotope ratio in a feather tissue sample could be indicative of a probable particular winter diet or location (Powell 2004, Bearhop et al 2005, Kelly et al 2008, Hoye et al 2012.…”

Section: Introductionmentioning

confidence: 99%

Estimating transitions between states using measurements with imperfect detection: application to serological data

Choquet

Carrié

Chambert

et al. 2013

Ecology

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Abstract. Classifying the states of an individual and quantifying transitions between states are crucial while modeling animal behavior, movement, and physiologic status. When these states are hidden or imperfectly known, it is particularly convenient to relate them to appropriate quantitative measurements taken on the individual. This task is, however, challenging when quantitative measurements are not available at each sampling occasion. For capture-recapture data, various ways of incorporating such non-discrete information have been used, but they are either ad hoc and/or use a fraction of the available information by relying on a priori thresholds to assign individual states. Here we propose assigning discrete states based on a continuous measurement, and then modeled survival and transition probabilities based on these assignments. The main advantage of this new approach is that a more informative use of the non-discrete information is done. As an illustrative working example, we applied this approach to eco-epidemiological data collected across a series of years in which individuals of a long-lived seabird, the Black-legged Kittiwake (Rissa tridactyla), could either be visually detected or physically recaptured and blood sampled for subsequent immunological analyses. We discuss how this approach opens many perspectives in eco-epidemiology, but also more broadly, in population ecology.

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New Insights on the Management of Wildlife Diseases Using Multi-State Recapture Models: The Case of Classical Swine Fever in Wild Boar

Cited by 31 publications

References 36 publications

Long Antibody Persistence and Transgenerational Transfer of Immunity in a Long-Lived Vertebrate

Long Antibody Persistence and Transgenerational Transfer of Immunity in a Long-Lived Vertebrate

Robustness of Eco-Epidemiological Capture-Recapture Parameter Estimates to Variation in Infection State Uncertainty

Estimating transitions between states using measurements with imperfect detection: application to serological data

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