@article{carr_roberts_2010, title={PLANNING FOR INFECTIOUS DISEASE OUTBREAKS: A GEOGRAPHIC DISEASE SPREAD, CLINIC LOCATION, AND RESOURCE ALLOCATION SIMULATION}, ISSN={["0891-7736"]}, DOI={10.1109/wsc.2010.5678858}, abstractNote={In the event of an outbreak of a highly contagious communicable disease, public health departments often open mass-vaccination or antiviral dispensing clinics to treat the infected population or reduce the further spread of disease. In this research, we have created a simulation of the disease spread process employing a SEIR compartmental model. The model includes employment patterns and separates the population into age groups and spatial location to more accurately describe disease spread behavior. The analysis involves measuring health-related performance as we change the number of days elapsing between clinic days. We open clinics in locations that maximize the infected population coverage subject to budget and resource-related constraints, using a MIP location-allocation model. An example case is provided in the context of an outbreak occurring in Wake County, NC. The simulation is coded in C++, using ILOG Concert Technology to implement the location-allocation model.}, journal={PROCEEDINGS OF THE 2010 WINTER SIMULATION CONFERENCE}, author={Carr, Sean and Roberts, Stephen}, year={2010}, pages={2171–2184} }