Epidemic growth rates and host movement patterns shape management performance for pathogen spillover at the wildlife-livestock interface.

ABSTRACT: Managing pathogen spillover at the wildlife-livestock interface is a key step towards improving global animal health, food security and wildlife conservation. However, predicting the effectiveness of management actions across host-pathogen systems with different life histories is an on-going challenge since data on intervention effectiveness are expensive to collect and results are system-specific. We developed a simulation model to explore how the efficacies of different management strategies vary according to host movement patterns and epidemic growth rates. The model suggested that fast-growing, fast-moving epidemics like avian influenza were best-managed with actions like biosecurity or containment, which limited and localized overall spillover risk. For fast-growing, slower-moving dis

SUBMITTER: Manlove KR 

PROVIDER: S-EPMC6711312 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature