A data-driven individual-based model of infectious disease in livestock operation: A validation study for paratuberculosis.

ABSTRACT: Chronic livestock diseases cause large financial loss and affect animal health and welfare. Controlling these diseases mostly requires precise information on both individual animal and population dynamics to inform the farmer's decisions, but even successful control programmes do by no means assure elimination. Mathematical models provide opportunities to test different control and elimination options rather than implementing them in real herds, but these models require robust parameter estimation and validation. Fitting these models to data is a difficult task due to heterogeneities in livestock processes. In this paper, we develop an infectious disease modeling framework for a livestock disease (paratuberculosis) that is caused by Mycobacterium avium subsp. paratuberculosis (MAP). Infect

SUBMITTER: Al-Mamun MA 

PROVIDER: S-EPMC6294356 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature