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Full-Text Articles in Medicine and Health Sciences
Preparing For Shortages Of Future Covid-19 Drugs: A Data-Based Model For Optimal Allocation, Charlie L. Sy, Kathleen Aviso, Christina D. Cayamanda, Anthony F. Chiu, Rochelle Irene Lucas, Michael Angelo Promentilla, Luis F. Razon, Raymond R. Tan, John Frederick Tapia, Ador Torneo, Aristotle T. Ubando, Derrick Ethelbhert C. Yu
Preparing For Shortages Of Future Covid-19 Drugs: A Data-Based Model For Optimal Allocation, Charlie L. Sy, Kathleen Aviso, Christina D. Cayamanda, Anthony F. Chiu, Rochelle Irene Lucas, Michael Angelo Promentilla, Luis F. Razon, Raymond R. Tan, John Frederick Tapia, Ador Torneo, Aristotle T. Ubando, Derrick Ethelbhert C. Yu
Angelo King Institute for Economic and Business Studies (AKI)
Drugs for the treatment of Covid-19 are currently beign tested, and those that are apporved for use are likely to be in short supply due to the global scale of the pandemic. This policy brief proposes a model for optimally allocating future Covid-19 drugs to patients to minimize deaths under conditions of resource scarcity. A linear programming model is developed that estimates the potential number of deaths that may result from Covid-19 under two scenarios: with antivirals and without antivirals. It takes into account patient risk level, the severity of their symptoms, resource availability in hospitals (i.e. hospital beds, critical …