Modelling spread and surveillance of Mycobacterium avium subsp. paratuberculosis in the Swedish cattle trade network.

ABSTRACT: To monitor a state of disease freedom and to ensure a timely detection of new introductions of disease, surveillance programmes need be evaluated prior to implementation. We present a strategy to evaluate surveillance of Mycobacterium avium subsp. paratuberculosis (MAP) using simulated testing of bulk milk in an infectious disease spread model. MAP is a globally distributed, chronic infectious disease with substantial animal health impact. Designing surveillance for this disease poses specific challenges because methods for surveillance evaluation have focused on estimating surveillance system sensitivity and probability of freedom from disease and do not account for spread of disease or complex and changing population structure over long periods. The aims of the study were to 1. define a

SUBMITTER: Rosendal T 

PROVIDER: S-EPMC7493800 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature