Estimating Loss of Brucella Abortus Antibodies from Age-Specific Serological Data In Elk

J. A. Benavides, D. Caillaud, B. M. Scurlock, E. J. Maichak, W. H. Edwards, P. C. Cross

Resultado de la investigación: Article

5 Citas (Scopus)

Resumen

Serological data are one of the primary sources of information for disease monitoring in wildlife. However, the duration of the seropositive status of exposed individuals is almost always unknown for many free-ranging host species. Directly estimating rates of antibody loss typically requires difficult longitudinal sampling of individuals following seroconversion. Instead, we propose a Bayesian statistical approach linking age and serological data to a mechanistic epidemiological model to infer brucellosis infection, the probability of antibody loss, and recovery rates of elk (Cervus canadensis) in the Greater Yellowstone Ecosystem. We found that seroprevalence declined above the age of ten, with no evidence of disease-induced mortality. The probability of antibody loss was estimated to be 0.70 per year after a five-year period of seropositivity and the basic reproduction number for brucellosis to 2.13. Our results suggest that individuals are unlikely to become re-infected because models with this mechanism were unable to reproduce a significant decline in seroprevalence in older individuals. This study highlights the possible implications of antibody loss, which could bias our estimation of critical epidemiological parameters for wildlife disease management based on serological data.

Idioma originalEnglish
Páginas (desde-hasta)234-243
Número de páginas10
PublicaciónEcoHealth
Volumen14
N.º2
DOI
EstadoPublished - 1 jun 2017

Huella dactilar

Brucella abortus
antibody
brucellosis
Brucellosis
Antibodies
Seroepidemiologic Studies
Basic Reproduction Number
Bayes Theorem
Disease Management
Ecosystem
mortality
Mortality
loss
ecosystem
sampling
monitoring
Infection
wildlife
rate

ASJC Scopus subject areas

  • Ecology
  • Health, Toxicology and Mutagenesis

Citar esto

Benavides, J. A., Caillaud, D., Scurlock, B. M., Maichak, E. J., Edwards, W. H., & Cross, P. C. (2017). Estimating Loss of Brucella Abortus Antibodies from Age-Specific Serological Data In Elk. EcoHealth, 14(2), 234-243. https://doi.org/10.1007/s10393-017-1235-z
Benavides, J. A. ; Caillaud, D. ; Scurlock, B. M. ; Maichak, E. J. ; Edwards, W. H. ; Cross, P. C. / Estimating Loss of Brucella Abortus Antibodies from Age-Specific Serological Data In Elk. En: EcoHealth. 2017 ; Vol. 14, N.º 2. pp. 234-243.
@article{d033d3d5fbb44503bff1517ba9b8aac2,
title = "Estimating Loss of Brucella Abortus Antibodies from Age-Specific Serological Data In Elk",
abstract = "Serological data are one of the primary sources of information for disease monitoring in wildlife. However, the duration of the seropositive status of exposed individuals is almost always unknown for many free-ranging host species. Directly estimating rates of antibody loss typically requires difficult longitudinal sampling of individuals following seroconversion. Instead, we propose a Bayesian statistical approach linking age and serological data to a mechanistic epidemiological model to infer brucellosis infection, the probability of antibody loss, and recovery rates of elk (Cervus canadensis) in the Greater Yellowstone Ecosystem. We found that seroprevalence declined above the age of ten, with no evidence of disease-induced mortality. The probability of antibody loss was estimated to be 0.70 per year after a five-year period of seropositivity and the basic reproduction number for brucellosis to 2.13. Our results suggest that individuals are unlikely to become re-infected because models with this mechanism were unable to reproduce a significant decline in seroprevalence in older individuals. This study highlights the possible implications of antibody loss, which could bias our estimation of critical epidemiological parameters for wildlife disease management based on serological data.",
keywords = "Antibody loss, Approximate Bayesian computation, Basic reproduction number, Brucellosis, Greater Yellowstone Ecosystem, Serology",
author = "Benavides, {J. A.} and D. Caillaud and Scurlock, {B. M.} and Maichak, {E. J.} and Edwards, {W. H.} and Cross, {P. C.}",
year = "2017",
month = "6",
day = "1",
doi = "10.1007/s10393-017-1235-z",
language = "English",
volume = "14",
pages = "234--243",
journal = "EcoHealth",
issn = "1612-9202",
publisher = "Springer New York",
number = "2",

}

Benavides, JA, Caillaud, D, Scurlock, BM, Maichak, EJ, Edwards, WH & Cross, PC 2017, 'Estimating Loss of Brucella Abortus Antibodies from Age-Specific Serological Data In Elk', EcoHealth, vol. 14, n.º 2, pp. 234-243. https://doi.org/10.1007/s10393-017-1235-z

Estimating Loss of Brucella Abortus Antibodies from Age-Specific Serological Data In Elk. / Benavides, J. A.; Caillaud, D.; Scurlock, B. M.; Maichak, E. J.; Edwards, W. H.; Cross, P. C.

En: EcoHealth, Vol. 14, N.º 2, 01.06.2017, p. 234-243.

Resultado de la investigación: Article

TY - JOUR

T1 - Estimating Loss of Brucella Abortus Antibodies from Age-Specific Serological Data In Elk

AU - Benavides, J. A.

AU - Caillaud, D.

AU - Scurlock, B. M.

AU - Maichak, E. J.

AU - Edwards, W. H.

AU - Cross, P. C.

PY - 2017/6/1

Y1 - 2017/6/1

N2 - Serological data are one of the primary sources of information for disease monitoring in wildlife. However, the duration of the seropositive status of exposed individuals is almost always unknown for many free-ranging host species. Directly estimating rates of antibody loss typically requires difficult longitudinal sampling of individuals following seroconversion. Instead, we propose a Bayesian statistical approach linking age and serological data to a mechanistic epidemiological model to infer brucellosis infection, the probability of antibody loss, and recovery rates of elk (Cervus canadensis) in the Greater Yellowstone Ecosystem. We found that seroprevalence declined above the age of ten, with no evidence of disease-induced mortality. The probability of antibody loss was estimated to be 0.70 per year after a five-year period of seropositivity and the basic reproduction number for brucellosis to 2.13. Our results suggest that individuals are unlikely to become re-infected because models with this mechanism were unable to reproduce a significant decline in seroprevalence in older individuals. This study highlights the possible implications of antibody loss, which could bias our estimation of critical epidemiological parameters for wildlife disease management based on serological data.

AB - Serological data are one of the primary sources of information for disease monitoring in wildlife. However, the duration of the seropositive status of exposed individuals is almost always unknown for many free-ranging host species. Directly estimating rates of antibody loss typically requires difficult longitudinal sampling of individuals following seroconversion. Instead, we propose a Bayesian statistical approach linking age and serological data to a mechanistic epidemiological model to infer brucellosis infection, the probability of antibody loss, and recovery rates of elk (Cervus canadensis) in the Greater Yellowstone Ecosystem. We found that seroprevalence declined above the age of ten, with no evidence of disease-induced mortality. The probability of antibody loss was estimated to be 0.70 per year after a five-year period of seropositivity and the basic reproduction number for brucellosis to 2.13. Our results suggest that individuals are unlikely to become re-infected because models with this mechanism were unable to reproduce a significant decline in seroprevalence in older individuals. This study highlights the possible implications of antibody loss, which could bias our estimation of critical epidemiological parameters for wildlife disease management based on serological data.

KW - Antibody loss

KW - Approximate Bayesian computation

KW - Basic reproduction number

KW - Brucellosis

KW - Greater Yellowstone Ecosystem

KW - Serology

UR - http://www.scopus.com/inward/record.url?scp=85019256204&partnerID=8YFLogxK

U2 - 10.1007/s10393-017-1235-z

DO - 10.1007/s10393-017-1235-z

M3 - Article

VL - 14

SP - 234

EP - 243

JO - EcoHealth

JF - EcoHealth

SN - 1612-9202

IS - 2

ER -