SCIENCE@home

Equitable Allocation of Scarce Resources During the Covid-19 Pandemic: A Case Study for Convalescent Plasma Distribution

Jasdeep Dhahan,Alexander Rutherford,Andrew Shih,Na Li,D. Down

Published 2023 in Online World Conference on Soft Computing in Industrial Applications

ABSTRACT

Resource planning during pandemics presents many challenges and equitable decisions about resource allocation must be made. There is no standard definition of equity. Robust mathematical formulations can require a lot of data. In a novel pandemic there is limited historical information available to inform decisions. Decision makers can look to define equity through population proportions (pro-rata). This notion of equity is readily implementable. We present a practical framework for an equitable allocation of scarce resources using population proportions, disease demographics, and resource utilization. We assess our framework using a stochastic simulation model, calibrated to COVID-19 case data, in a case study for convalescent plasma distribution in the context of the clinical trial CONCOR-1. We show that pro-rata resource allocation can be inequitable and that decision makers can consider readily available information, such as resource utilization and case data, to inform equity and proactively manage scarce resources during a pandemic.

PUBLICATION RECORD

  • Publication year

    2023

  • Venue

    Online World Conference on Soft Computing in Industrial Applications

  • Publication date

    2023-12-10

  • Fields of study

    Medicine, Computer Science, Economics, Environmental Science

  • Identifiers
    DOI 10.1109/WSC60868.2023.10408073
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

CITATION MAP

EXTRACTION MAP

CLAIMS

  • No claims are published for this paper.

CONCEPTS

  • No concepts are published for this paper.

REFERENCES

Showing 1-23 of 23 references · Page 1 of 1

CITED BY