Data on Leptospira interrogans sv Pomona infection in Meat Workers in New Zealand
M. Pittavino,
A. Dreyfus,
C. Heuer,
J. Benschop,
P. Wilson,
J. Collins-Emerson,
P.R. Torgerson,
R. Furrer
Affiliations
M. Pittavino
Department of Mathematics, University of Zurich, Zurich, Switzerland; Correspondence to: Department of Mathematics, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland. E-Mail: [email protected].
A. Dreyfus
Section of Epidemiology, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland
C. Heuer
Instituteof Veterinary Animal and Biomedical Sciences, Massey University, Palmerston North, New Zealand
J. Benschop
Instituteof Veterinary Animal and Biomedical Sciences, Massey University, Palmerston North, New Zealand
P. Wilson
Instituteof Veterinary Animal and Biomedical Sciences, Massey University, Palmerston North, New Zealand
J. Collins-Emerson
Instituteof Veterinary Animal and Biomedical Sciences, Massey University, Palmerston North, New Zealand
P.R. Torgerson
Section of Epidemiology, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland
R. Furrer
Department of Mathematics, University of Zurich, Zurich, Switzerland; Department of Computational Science, University of Zurich, Zurich, Switzerland
The data presented in this article are related to the research article entitled “Comparison between Generalized Linear Modelling and Additive Bayesian Network; Identification of Factors associated with the Incidence of Antibodies against Leptospira interrogans sv Pomona in Meat Workers in New Zealand” (Pittavino et al., 2017) [5].A prospective cohort study was conducted in four sheep slaughtering abattoirs in New Zealand (NZ) (Dreyfus et al., 2015) [1]. Sera were collected twice a year from 384 meat workers and tested by Microscopic Agglutination for Leptospira interrogans sv Pomona (Pomona) infection, one of the most common Leptospira serovars in humans in NZ. This article provides an extended analysis of the data, illustrating the different steps of a multivariable (i.e. generalized linear model) and especially a multivariate tool based on additive Bayesian networks (ABN) modelling. Keywords: Leptospirosis, Interviews, Bayesian networks, Markov chain Monte Carlo, Bootstrapping
