Using Bayesian networks to explore the role of weather as a potential determinant of disease in pigs.

ABSTRACT: Many pathogens are sensitive to climatic variables and this is reflected in their seasonality of occurrence and transmission. The identification of environmental conditions that influence disease occurrence can be subtle, particularly considering their complex interdependencies in addition to those relationships between climate and disease. Statistical treatment of environmental variables is often dependent on their correlations and thus descriptions of climate are often restricted to means rather than accounting for the more precise aspects (including mean, maximum, minimum, variability). Here we utilize a novel multivariate statistical modelling approach, additive Bayesian network (ABN) analyses, to identify the inter-linkages of different weather variables to better capture short-term e

SUBMITTER: McCormick BJ 

PROVIDER: S-EPMC3678611 | biostudies-literature | 2013 May

REPOSITORIES: biostudies-literature