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Cost-Effectiveness Analysis of COVID-19 Case Quarantine Strategies in Two Australian States: New South Wales and Western Australia

Author

Listed:
  • Adrian Melia

    (Newcastle Business School, University of Newcastle, Callaghan, NSW 2308, Australia)

  • Doowon Lee

    (Newcastle Business School, University of Newcastle, Callaghan, NSW 2308, Australia)

  • Nader Mahmoudi

    (Newcastle Business School, University of Newcastle, Callaghan, NSW 2308, Australia)

  • Yameng Li

    (Department of Research, International Engineering and Technology Institute, Denver, CO 80202, USA)

  • Francesco Paolucci

    (Newcastle Business School, University of Newcastle, Callaghan, NSW 2308, Australia
    Department of Sociology and Business Law, University of Bologna, 40126 Bologna, Italy)

Abstract

Two main strategies, home and hotel isolation, have been used to isolate COVID-19 cases in most countries. Both have proven to be somewhat medically effective, but the costs to produce the desired outcome remain unclear. We used a decision tree model to compare alternatives and a simulation model to determine the household structure and provide recommendations for the most cost-effective way to isolate a COVID-19 patient in two Australian States, New South Wales (NSW) and Western Australia (WA). The results show that although the average cost of isolating a confirmed case at home is lower than that of a hotel quarantine, it is demonstrable that the decision depends on household size and the ages of household members. If the household members’ ages are old or the household size is large, the expected mean cost of home quarantine might be higher than hotel quarantine. Our study, therefore, provides the government with a cost-effective insight into making quarantine policies.

Suggested Citation

  • Adrian Melia & Doowon Lee & Nader Mahmoudi & Yameng Li & Francesco Paolucci, 2021. "Cost-Effectiveness Analysis of COVID-19 Case Quarantine Strategies in Two Australian States: New South Wales and Western Australia," JRFM, MDPI, vol. 14(7), pages 1-14, July.
    • Handle: RePEc:gam:jjrfmx:v:14:y:2021:i:7:p:305-:d:588276
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    References listed on IDEAS

    as
    1. Mohammad Mahmudul Hassan & Md. Abul Kalam & Shahanaj Shano & Md. Raihan Khan Nayem & Md. Kaisar Rahman & Shahneaz Ali Khan & Ariful Islam, 2020. "Assessment of Epidemiological Determinants of COVID-19 Pandemic Related to Social and Economic Factors Globally," JRFM, MDPI, vol. 13(9), pages 1-14, September.
    2. Nicholas Geard & James M McCaw & Alan Dorin & Kevin B Korb & Jodie McVernon, 2013. "Synthetic Population Dynamics: A Model of Household Demography," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 16(1), pages 1-8.
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