Project Leadership Team
News and Media Updates
This project will focus its efforts on the information and disaster response requirements of at-risk and conditional at-risk populations in the coastal counties of North Carolina.
These populations pose important challenges in the event of a natural or human-caused disaster. They might not survive the event in their current location and may be unable to evacuate using methods available to the general population. Further specialized care requirements dictate the locations capable of hosting these special needs evacuees. Once evacuated, alternate sources of medical care for the at-risk (the homebound and those requiring respirators or dialysis) and conditionally at-risk (elderly, infants, or those with chronic diseases such as COPD, diabetes, and heart failure), including availability of pharmaceuticals will have to be arranged. Transfer of medical information or records will also be vital to the success of these efforts.
There are likely unique aspects to recovery that may well determine when and if these populations can return to their living arrangements present before the disaster. Experts have pointed out that dealing with individuals in the disaster region with chronic disease may be the greatest single challenge.
Define and identify at-risk and conditional at-risk populations. Review current classifications systems that apply and propose classifications where current systems are inappropriate or unavailable. Identify the stakeholders and sources of information needed for the development of a registry of individuals and locations. Address the patient consent requirements for creating such a database and explore alternative methods of providing this information to emergency managers, first responders, and health personnel.
Work with RENCI experts to address the technical aspect of this dynamic information archive and delivery system. Coordinate with the state public health and emergency management agencies to work toward creating a system that is compatible with statewide health informatics systems under development.
Identify a pilot area and collect information for the purpose of modeling disaster events. Coordinate with other C-SIM research areas to identify complementarities in model creation.