A large scale public health emergency such as an epidemic (occurring naturally or due to a bioterrorism attack) can result in an overwhelming number of human casualties. This can result in scarcity of healthcare resources such as beds, staffing, supplies and equipment. Regional aid in the form of central stockpiles and resource redistribution can help mitigate the resulting demand surge. However, optimizing resources across regional healthcare units requires continuous monitoring of resource usage in each unit, and coordinating the distribution of resources among them. Application of autonomic self-management concepts can greatly relieve the cognitive challenges faced by decision makers in this context. This paper discusses an autonomic resource allocation approach for optimizing regional aid during public health emergencies. We explore three different regional aid programs and show that relative program effectiveness is dependent on resource and budget availability.