Process integration for emerging challenges: optimal allocation of antivirals under resource constraints

C. L. Sy, K. B. Aviso, C. D. Cayamanda, A. S.F. Chiu, R. I.G. Lucas, M. A.B. Promentilla, L. F. Razon, R. R. Tan, J. F.D. Tapia, A. R. Torneo, A. T. Ubando, D. E.C. Yu

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11 引文 斯高帕斯(Scopus)


Abstract: 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 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 drugs will be in short supply in the interim, which leaves policymakers 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 techniques that deal with tight resource constraints. In this paper, a linear programming model is developed to determine the optimal allocation of COVID-19 drugs that minimizes patient fatalities, 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. Graphic abstract: [Figure not available: see fulltext.]

頁(從 - 到)1359-1370
期刊Clean Technologies and Environmental Policy
出版狀態Published - 2020 8月 1

All Science Journal Classification (ASJC) codes

  • 環境工程
  • 環境化學
  • 商業、管理和會計 (全部)
  • 經濟學與計量經濟學
  • 管理、監督、政策法律


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