Proper planning and execution of mass vaccination at the onset of a pandemic outbreak is
important for local health departments. Mass vaccination clinics are required to be setup
and run for naturally occurring pandemic outbreaks or even in response to terrorist attacks,
e.g., anthrax attack. Walk-in clinics have often been used to administer vaccines. When a
large percentage of a population must be vaccinated to mitigate the ill-effects of an attack
or pandemic, drive-through clinics appear to be more effective because a much higher
throughput can be achieved when compared to walk-in clinics. There are other benefits
as well. For example, the spread of the disease can be minimized because infected patients
are not exposed to uninfected patients. This research extends the simulation modeling
work that was done for a mass vaccination drive-through clinic in the city of Louisville
in November 2009. This clinic is one of the largest clinics ever set up with more than
19,000 patients served, over two-thirds via ten drive-through lanes. The intent of the
model in this paper is to illustrate a general tool that can be customized for a community
of any size. The simulation–optimization tool will allow decision makers to investigate several
interacting control variables in a simultaneous fashion; any of several criterion models
in which various performance measures are either optimized or constrained, can be investigated.
The model helps the decision maker determine the required number of Points of
Dispense (POD) lanes, number and length of the lanes for consent hand outs and fill in, staff
needed at the consent handout stations and PODs, and average user waiting time in the
system.