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Finding optimal vaccination strategies under parameter uncertainty using stochastic programming |
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| Authors: | Tanner Matthew W Sattenspiel Lisa Ntaimo Lewis |
| Institution: | a Department of Industrial and Systems Engineering, Texas A&M University, 241 Zachry, 3131 TAMU, College Station, TX 77843-3131, USA b Department of Anthropology, University of Missouri, 105 Swallow Hall, Columbia, MO 65211-1440, USA |
| Abstract: | We present a stochastic programming framework for finding the optimal vaccination policy for controlling infectious disease epidemics under parameter uncertainty. Stochastic programming is a popular framework for including the effects of parameter uncertainty in a mathematical optimization model. The problem is initially formulated to find the minimum cost vaccination policy under a chance-constraint. The chance-constraint requires that the probability that R(*) |
| Keywords: | Parameter uncertainty Epidemic model Vaccination Stochastic programming Chance constraints |
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