IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/hal-02544388.html
   My bibliography  Save this paper

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," Working Papers hal-02544388, HAL.
    • Handle: RePEc:hal:wpaper:hal-02544388
    Note: View the original document on HAL open archive server: https://amu.hal.science/hal-02544388
    as

    Download full text from publisher

    File URL: https://amu.hal.science/hal-02544388/document
    Download Restriction: no
    ---><---

    Other versions of this item:

    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Christian Gollier, 2020. "Cost–benefit analysis of age‐specific deconfinement strategies," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 22(6), pages 1746-1771, December.
    2. Abel Brodeur & David Gray & Anik Islam & Suraiya Bhuiyan, 2021. "A literature review of the economics of COVID‐19," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1007-1044, September.
    3. Koen B. Pouwels & Laurence S. J. Roope & Adrian Barnett & David J. Hunter & Terry M. Nolan & Philip M. Clarke, 2020. "Group Testing for SARS-CoV-2: Forward to the Past?," PharmacoEconomics - Open, Springer, vol. 4(2), pages 207-210, June.
    4. Rahul Deb & Mallesh Pai & Akhil Vohra & Rakesh Vohra, 2022. "Testing alone is insufficient," Review of Economic Design, Springer;Society for Economic Design, vol. 26(1), pages 1-21, March.
    5. Hanno Beck & Aloys Prinz & Elmar Wolfstetter, 2022. "Vaccination Gap, Vaccination Fraud and Inefficient Testing," Intereconomics: Review of European Economic Policy, Springer;ZBW - Leibniz Information Centre for Economics;Centre for European Policy Studies (CEPS), vol. 57(5), pages 330-336, September.
    6. Vincent Brault & Bastien Mallein & Jean-François Rupprecht, 2021. "Group testing as a strategy for COVID-19 epidemiological monitoring and community surveillance," PLOS Computational Biology, Public Library of Science, vol. 17(3), pages 1-25, March.
    7. Ely, Jeffrey & Galeotti, Andrea & Jann, Ole & Steiner, Jakub, 2021. "Optimal test allocation," Journal of Economic Theory, Elsevier, vol. 193(C).
    8. Lipnowski, Elliot & Ravid, Doron, 2021. "Pooled testing for quarantine decisions," Journal of Economic Theory, Elsevier, vol. 198(C).
    9. Lu Tang & Yiwang Zhou & Lili Wang & Soumik Purkayastha & Leyao Zhang & Jie He & Fei Wang & Peter X.‐K. Song, 2020. "A Review of Multi‐Compartment Infectious Disease Models," International Statistical Review, International Statistical Institute, vol. 88(2), pages 462-513, August.
    10. Eslami, Keyvan & Lee, Hyunju, 2024. "Overreaction and the value of information in a pandemic," European Economic Review, Elsevier, vol. 161(C).
    11. Jiayi Lin & Hrayer Aprahamian & George Golovko, 2024. "An optimization framework for large-scale screening under limited testing capacity with application to COVID-19," Health Care Management Science, Springer, vol. 27(2), pages 223-238, June.
    12. Karolina Drela & Agnieszka Malkowska & Anna Bera & Anna Tokarz-Kocik, 2021. "Instruments for Managing the EU Labour Market in the Face of the COVID-19 Crisis," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 984-998.
    13. Pierre-Alexandre Mahieu & Romain Craste & Bengt Kriström & Pere Riera, 2014. "Non-market valuation in France: An overview of the research activity," Working Papers hal-01087365, HAL.
    14. Marko Ledić & Ivica Rubil, 2021. "Beyond Wage Gap, Towards Job Quality Gap: The Role of Inter-Group Differences in Wages, Non-Wage Job Dimensions, and Preferences," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(2), pages 523-561, June.
    15. Jean-Noël Barrot & Basile Grassi & Julien Sauvagnat, 2020. "Estimating the Costs and Benefits of Mandated Business Closures in a Pandemic," Working Papers hal-02896739, HAL.
    16. Koen Decancq & Marc Fleurbaey & François Maniquet, 2019. "Multidimensional poverty measurement with individual preferences," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(1), pages 29-49, March.
    17. Nurmi, Väinö & Ahtiainen, Heini, 2018. "Distributional Weights in Environmental Valuation and Cost-benefit Analysis: Theory and Practice," Ecological Economics, Elsevier, vol. 150(C), pages 217-228.
    18. Tarun Jain & Bijendra Nath Jain, 2021. "Infection Testing at Scale: An Examination of Pooled Testing Diagnostics," Vikalpa: The Journal for Decision Makers, , vol. 46(1), pages 13-26, March.
    19. Decancq, Koen & Neumann, Dirk, 2014. "Does the Choice of Well-Being Measure Matter Empirically? An Illustration with German Data," IZA Discussion Papers 8589, Institute of Labor Economics (IZA).
    20. Sayaka Sakoda, 2022. "Estimating economic unfairness in Japan and policies toward fairness," International Journal of Economic Policy Studies, Springer, vol. 16(1), pages 85-111, February.

    More about this item

    Keywords

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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:wpaper:hal-02544388. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.