Dynamic Modeling of Workforce Requirements for Mass Prophylaxis Under Highly Uncertain Conditions: Cornell Dynamic POD Simulator [open pdf - 2MB]
Alternate Title: Dynamic Modeling of Workforce Requirements for Mass Prophylaxis Under Highly Uncertain Conditions: Cornell Dynamic Point of Dispensing Simulator
"The public health response to a bioterrorist attack or other large-scale health emergency may include mass prophylaxis using multiple Points of Dispensing (PODs) to deliver countermeasures rapidly to affected populations. Although computer models exist to determine 'optimal' staffing levels at PODs under certain steady-state conditions, no quantitative studies address the requirements of the POD workforce management systems needed to enable efficient, population-wide coverage in the face of a dynamic and uncertain operational environment. Our goal was to investigate quantitatively the impact of dynamic and uncertain patient arrival patterns on workforce requirements and on overall POD effectiveness and efficiency over the duration of a mass prophylaxis campaign. To investigate the dynamic behavior of POD systems, many extensive simulation experiments were conducted using a Monte Carlo simulation model, called the Dynamic POD Simulator (D-PODS). Using this simulation environment, we designed POD station layouts, capacities, staffing patterns, patient types, and work flows and then observed the consequences of operating PODs based on these plans under various patient arrival scenarios. The D-PODS user interface is an Excel worksheet and the model is implemented in Visual Basic."
Technical Report No. 1471
College of Engineering and Weill Medical College
Cornell University: http://www.cornell.edu/