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Process integration models for emerging challenges: Optimal allocation of antivirals under resource constraints [post]

Raymond Tan, Charlle Sy, Kathleen Aviso, Christina Cayamanda, Anthony Chiu, Rochelle Lucas, Michael Promentilla, Luis Razon, John Frederick Tapia, Ador Torneo, Aristotle Ubando, Derrick Yu
2020 unpublished
The global scientific community has intensified efforts to develop, test, and commercialize pharmaceutical products to deal with the COVID-19 pandemic. Trials for both antivirals and vaccines are in progress; candidates include existing repurposed drugs that were originally developed for other ailments. Once these products are shown to be effective, their production will need to be ramped up rapidly to keep pace with the growing demand as the pandemic progresses. It is highly likely that the
more » ... likely that the drugs will be in short supply in the interim, which leaves policy makers and medical personnel with the difficult task of determining how to allocate them. Under such conditions, mathematical models can provide valuable decision support. In particular, useful models can be derived from process integration (PI) techniques that deal with tight resource constraints. In this paper, a linear programming (LP) model is developed to determine the allocation of COVID-19 drugs that minimizes patient mortality, taking into account additional hospital capacity constraints. Two hypothetical case studies are solved to illustrate the computational capability of the model, which can generate an allocation plan with outcomes that are superior to simple ad hoc allocation.
doi:10.21203/rs.3.rs-24325/v1 fatcat:obhcndvwhrbcfo426unvs74zky