Bayesian estimation of herd-level prevalence and risk factors associated with BoHV-1 infection in cattle herds in the State of Paraíba, Brazil

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Standard

Bayesian estimation of herd-level prevalence and risk factors associated with BoHV-1 infection in cattle herds in the State of Paraíba, Brazil. / Fernandes, Leíse Gomes; Denwood, Matthew James; de Sousa Américo Batista Santos, Carolina; Alves, Clebert José; Pituco, Edviges Maristela; de Campos Nogueira Romaldini, Adriana Hellmeister; De Stefano, Eliana; Nielsen, Søren Saxmose; de Azevedo, Sérgio Santos.

I: Preventive Veterinary Medicine, Bind 169, 104705, 01.08.2019.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Fernandes, LG, Denwood, MJ, de Sousa Américo Batista Santos, C, Alves, CJ, Pituco, EM, de Campos Nogueira Romaldini, AH, De Stefano, E, Nielsen, SS & de Azevedo, SS 2019, 'Bayesian estimation of herd-level prevalence and risk factors associated with BoHV-1 infection in cattle herds in the State of Paraíba, Brazil', Preventive Veterinary Medicine, bind 169, 104705. https://doi.org/10.1016/j.prevetmed.2019.104705

APA

Fernandes, L. G., Denwood, M. J., de Sousa Américo Batista Santos, C., Alves, C. J., Pituco, E. M., de Campos Nogueira Romaldini, A. H., ... de Azevedo, S. S. (2019). Bayesian estimation of herd-level prevalence and risk factors associated with BoHV-1 infection in cattle herds in the State of Paraíba, Brazil. Preventive Veterinary Medicine, 169, [104705]. https://doi.org/10.1016/j.prevetmed.2019.104705

Vancouver

Fernandes LG, Denwood MJ, de Sousa Américo Batista Santos C, Alves CJ, Pituco EM, de Campos Nogueira Romaldini AH o.a. Bayesian estimation of herd-level prevalence and risk factors associated with BoHV-1 infection in cattle herds in the State of Paraíba, Brazil. Preventive Veterinary Medicine. 2019 aug 1;169. 104705. https://doi.org/10.1016/j.prevetmed.2019.104705

Author

Fernandes, Leíse Gomes ; Denwood, Matthew James ; de Sousa Américo Batista Santos, Carolina ; Alves, Clebert José ; Pituco, Edviges Maristela ; de Campos Nogueira Romaldini, Adriana Hellmeister ; De Stefano, Eliana ; Nielsen, Søren Saxmose ; de Azevedo, Sérgio Santos. / Bayesian estimation of herd-level prevalence and risk factors associated with BoHV-1 infection in cattle herds in the State of Paraíba, Brazil. I: Preventive Veterinary Medicine. 2019 ; Bind 169.

Bibtex

@article{8229a133948f4cde88beef237cef571d,
title = "Bayesian estimation of herd-level prevalence and risk factors associated with BoHV-1 infection in cattle herds in the State of Para{\'i}ba, Brazil",
abstract = "A cross-sectional study was carried out to estimate the animal- and herd-level prevalence of bovine herpesvirus 1 (BoHV-1) infection in cattle in the State of Para{\'i}ba, and to identify risk factors associated with herd-level infection. The state was divided into three sampling strata, and for each stratum, the prevalence of herds infected with BoHV-1 was estimated through a two-stage sampling survey carried out from September 2012 to January 2013. In total, 2443 animals were sampled from 478 herds. A virus-neutralization test was used for BoHV-1 antibody detection. A Bayesian latent-class model was used to describe the data, taking into account imperfect diagnostic test characteristics and the non-independence of test results from animals within the same herd, and using a dynamic within-model risk factor selection method based on indicator variable selection. The adjusted herd-level prevalence was estimated to be 84{\%} (95{\%} CI: 80-88{\%}) for the State of Para{\'i}ba, and the animal-level prevalence was estimated to be 73{\%} (95{\%} CI: 66-84{\%}). Only five of the available risk factors were used by the model, with the three most influential being disposal of aborted foetuses (3.78, 95{\%} CI: 1.11-13.85), sharing resources with other farms (3.0, 95{\%} CI: 1.1-8,6), and a herd size of > 23 animals (2.5, 95{\%} CI: 1.1-6.0). Our findings suggest that the animal- and herd-level seroprevalence of BoHV-1 infection in the State of Para{\'i}ba is high. While some risk factors such as herd size and sharing resources were identified as risk factors for BoHV-1 infection, these risk factors are initially likely to be of only minor relevance in a control programme due to the extremely high prevalence of infected farms. However, the results are relevant to the risk of reintroduction of disease on farms that have previously eradicated the disease.",
author = "Fernandes, {Le{\'i}se Gomes} and Denwood, {Matthew James} and {de Sousa Am{\'e}rico Batista Santos}, Carolina and Alves, {Clebert Jos{\'e}} and Pituco, {Edviges Maristela} and {de Campos Nogueira Romaldini}, {Adriana Hellmeister} and {De Stefano}, Eliana and Nielsen, {S{\o}ren Saxmose} and {de Azevedo}, {S{\'e}rgio Santos}",
note = "Copyright {\circledC} 2019 Elsevier B.V. All rights reserved.",
year = "2019",
month = "8",
day = "1",
doi = "10.1016/j.prevetmed.2019.104705",
language = "English",
volume = "169",
journal = "Preventive Veterinary Medicine",
issn = "0167-5877",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Bayesian estimation of herd-level prevalence and risk factors associated with BoHV-1 infection in cattle herds in the State of Paraíba, Brazil

AU - Fernandes, Leíse Gomes

AU - Denwood, Matthew James

AU - de Sousa Américo Batista Santos, Carolina

AU - Alves, Clebert José

AU - Pituco, Edviges Maristela

AU - de Campos Nogueira Romaldini, Adriana Hellmeister

AU - De Stefano, Eliana

AU - Nielsen, Søren Saxmose

AU - de Azevedo, Sérgio Santos

N1 - Copyright © 2019 Elsevier B.V. All rights reserved.

PY - 2019/8/1

Y1 - 2019/8/1

N2 - A cross-sectional study was carried out to estimate the animal- and herd-level prevalence of bovine herpesvirus 1 (BoHV-1) infection in cattle in the State of Paraíba, and to identify risk factors associated with herd-level infection. The state was divided into three sampling strata, and for each stratum, the prevalence of herds infected with BoHV-1 was estimated through a two-stage sampling survey carried out from September 2012 to January 2013. In total, 2443 animals were sampled from 478 herds. A virus-neutralization test was used for BoHV-1 antibody detection. A Bayesian latent-class model was used to describe the data, taking into account imperfect diagnostic test characteristics and the non-independence of test results from animals within the same herd, and using a dynamic within-model risk factor selection method based on indicator variable selection. The adjusted herd-level prevalence was estimated to be 84% (95% CI: 80-88%) for the State of Paraíba, and the animal-level prevalence was estimated to be 73% (95% CI: 66-84%). Only five of the available risk factors were used by the model, with the three most influential being disposal of aborted foetuses (3.78, 95% CI: 1.11-13.85), sharing resources with other farms (3.0, 95% CI: 1.1-8,6), and a herd size of > 23 animals (2.5, 95% CI: 1.1-6.0). Our findings suggest that the animal- and herd-level seroprevalence of BoHV-1 infection in the State of Paraíba is high. While some risk factors such as herd size and sharing resources were identified as risk factors for BoHV-1 infection, these risk factors are initially likely to be of only minor relevance in a control programme due to the extremely high prevalence of infected farms. However, the results are relevant to the risk of reintroduction of disease on farms that have previously eradicated the disease.

AB - A cross-sectional study was carried out to estimate the animal- and herd-level prevalence of bovine herpesvirus 1 (BoHV-1) infection in cattle in the State of Paraíba, and to identify risk factors associated with herd-level infection. The state was divided into three sampling strata, and for each stratum, the prevalence of herds infected with BoHV-1 was estimated through a two-stage sampling survey carried out from September 2012 to January 2013. In total, 2443 animals were sampled from 478 herds. A virus-neutralization test was used for BoHV-1 antibody detection. A Bayesian latent-class model was used to describe the data, taking into account imperfect diagnostic test characteristics and the non-independence of test results from animals within the same herd, and using a dynamic within-model risk factor selection method based on indicator variable selection. The adjusted herd-level prevalence was estimated to be 84% (95% CI: 80-88%) for the State of Paraíba, and the animal-level prevalence was estimated to be 73% (95% CI: 66-84%). Only five of the available risk factors were used by the model, with the three most influential being disposal of aborted foetuses (3.78, 95% CI: 1.11-13.85), sharing resources with other farms (3.0, 95% CI: 1.1-8,6), and a herd size of > 23 animals (2.5, 95% CI: 1.1-6.0). Our findings suggest that the animal- and herd-level seroprevalence of BoHV-1 infection in the State of Paraíba is high. While some risk factors such as herd size and sharing resources were identified as risk factors for BoHV-1 infection, these risk factors are initially likely to be of only minor relevance in a control programme due to the extremely high prevalence of infected farms. However, the results are relevant to the risk of reintroduction of disease on farms that have previously eradicated the disease.

U2 - 10.1016/j.prevetmed.2019.104705

DO - 10.1016/j.prevetmed.2019.104705

M3 - Journal article

C2 - 31311643

VL - 169

JO - Preventive Veterinary Medicine

JF - Preventive Veterinary Medicine

SN - 0167-5877

M1 - 104705

ER -

ID: 225425087