Lee, Szu-Yin, authorPendell, Dustin, advisorThilmany, Dawn, committee memberMushinski, David, committee member2016-01-112016-01-112015http://hdl.handle.net/10217/170374A meta-regression analysis was conducted to more clearly identify the control strategies that influence the economic impacts due to a foot-and-mouth disease (FMD) outbreak in North America. Models were specified accounting for differences across control strategies (culling rate, vaccination, improving in traceability, and delayed detection) and epidemiological models that are used to simulate FMD outbreaks under different assumption. Results of the analysis show that applying vaccination-to-die policies increases the national loss but it might be a method to contain the disease when spreading widely. Delayed detection of infected animals is the most influential factor that impacts economic losses, however, by improving traceability system, the economic impacts can be reduces by localizing and depopulating latent or potentially infected animals before they allow disease to spread.born digitalmasters thesesengCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.foot-and-mouth diseasemeta-regression analysisText