Application of portfolio theory to risk-based allocation of surveillance resources in animal populations.

摘要: Distribution of finite levels resources between multiple competing tasks can be a challenging problem. Resources need to distributed across time periods and geographic locations increase the probability detection disease incursion or significant change in pattern. Efforts should focus primarily on areas populations where risk factors for given reach relatively high levels. In order target into these areas, overall level evaluated periodically create dynamic national landscape. Methods are described integrate various an score each area, account certainty variability around those measures then allocate surveillance this addition targeting continues lower there is small yet positive chance occurrence. paper we describe application portfolio theory concepts, routinely used finance, design portfolios series examples. The appropriate resource investment chosen geographical area period degree uncertainty present.