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Sub-National Allocation of COVID-19 Tests: An Efficiency Criterion with an Application to Italian Regions

Author

Listed:
  • C. Baunez

    (INT - Institut de Neurosciences de la Timone - AMU - Aix Marseille Université - CNRS - Centre National de la Recherche Scientifique)

  • Mickael Degoulet

    (INT - Institut de Neurosciences de la Timone - AMU - Aix Marseille Université - CNRS - Centre National de la Recherche Scientifique)

  • Stéphane Luchini

    (AMSE - Aix-Marseille Sciences Economiques - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

  • Patrick Pintus

    (AMSE - Aix-Marseille Sciences Economiques - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

  • Miriam Teschl

    (AMSE - Aix-Marseille Sciences Economiques - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

Abstract

Tests are crucial to know about the number of people who have fallen ill with COVID-19 and to understand in real-time whether the dynamics of the pandemic is accelerating or decelerating. But tests are a scarce resource in many countries. The key but still open question is thus how to allocate tests across sub-national levels. We provide a data-driven and operational criterion to allocate tests efficiently across regions or provinces, with the view to maximize detection of people who have been infected. We apply our criterion to Italian regions and compute the shares of tests that should go to each region, which are shown to differ significantly from the actual distribution.

Suggested Citation

  • C. Baunez & Mickael Degoulet & Stéphane Luchini & Patrick Pintus & Miriam Teschl, 2020. "Sub-National Allocation of COVID-19 Tests: An Efficiency Criterion with an Application to Italian Regions," Post-Print hal-03140005, HAL.
    • Handle: RePEc:hal:journl:hal-03140005
    Note: View the original document on HAL open archive server: https://amu.hal.science/hal-03140005
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    References listed on IDEAS

    as
    1. Christian Gollier & Olivier Gossner, 2020. "Group Testing against COVID-19," Working Papers 2020-04, Center for Research in Economics and Statistics, revised 02 Apr 2020.
    2. Olivier Gossner, 2020. "Group Testing against COVID-19," Working Papers 2020-02, Center for Research in Economics and Statistics.
    3. Marc Fleurbaey & Stéphane Luchini & Christophe Muller & Erik Schokkaert, 2013. "Equivalent Income And Fair Evaluation Of Health Care," Health Economics, John Wiley & Sons, Ltd., vol. 22(6), pages 711-729, June.
    4. Stéphane Luchini & Miriam Teschl & Patrick A. Pintus & Mickael Degoulet, 2020. "Urgently Needed for Policy Guidance: An Operational Tool for Monitoring the COVID-19 Pandemic," AMSE Working Papers 2009, Aix-Marseille School of Economics, France.
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    Cited by:

    1. Christelle Baunez & Mickael Degoulet & Stéphane Luchini & Patrick A Pintus & Miriam Teschl, 2021. "Tracking the dynamics and allocating tests for COVID-19 in real-time: An acceleration index with an application to French age groups and départements," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-21, June.
    2. Christelle Baunez & Michaël Degoulet & Stéphane Luchini & Matteo L. Pintus, 2022. "Correcting the Reproduction Number for Time-Varying Tests: a Proposal and an Application to COVID-19 in France," AMSE Working Papers 2210, Aix-Marseille School of Economics, France, revised Jan 2023.
    3. Christelle Baunez & Mickael Degoulet & Stéphane Luchini & Matteo L. Pintus & Patrick A. Pintus & Miriam Teschl, 2020. "The Acceleration Index as a Test-Controlled Reproduction Number: Application to COVID-19 in France," Working Papers halshs-03079490, HAL.

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    More about this item

    Keywords

    COVID-19; Italy; acceleration of harm; deceleration of harm; epidemic dynamics; efficiency criterion; sub-national allocation of tests; real-time Analysis;
    All these keywords.

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • H12 - Public Economics - - Structure and Scope of Government - - - Crisis Management

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