IDEAS home Printed from https://ideas.repec.org/p/frz/wpaper/wp2020_11.rdf.html
   My bibliography  Save this paper

Are COVID-19 Containment Measures Equally Effective in Different World Regions?

Author

Listed:
  • Alessandro CARRARO
  • Lucia FERRONE
  • Margherita SQUARCINA

Abstract

In response to the COVID-19 pandemic, countries around the world are implementing a range of non-pharmaceutical interventions, such associal distancing, travel-related and contact tracing measures, with the goal of reducing the spread of the virus.Many low-income countries (LICs) have started applying these measures preventively, well before the point of contagion reached by high income countries (HICs). These measures will have and are already having a strong impact on the global and local economy. Understanding if and to what extent they are effective in halting the spread the virus is crucial to design and target policies, not only in the ongoing crisis, but also and perhaps more importantly, to face future challenges. Using data provided by the OxfordCOVID-19 Government Response Trackerwe analyze how different policies affect the number of active COVID-19 cases in 166 countries, with a temporal lag of seven and fourteen days. We divide countries according to different geographic and socio-economic characteristics. We find that confinement measures such as school closures and lockdowns are highly effective in reducing the diffusion of active cases. While they are more effective in HICs, these measures are proving effective also in LICs: the rapid response of many LICs seems to have been the right choice. When evaluating the cost of adopting strong measures in LICs we should consider that they may have likely prevented much higher human and economics costs in the future. At the same time, further consideration should be given in how to best adapt the measures to the specificity of the context.

Suggested Citation

  • Alessandro CARRARO & Lucia FERRONE & Margherita SQUARCINA, 2020. "Are COVID-19 Containment Measures Equally Effective in Different World Regions?," Working Papers - Economics wp2020_11.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
  • Handle: RePEc:frz:wpaper:wp2020_11.rdf
    as

    Download full text from publisher

    File URL: https://www.disei.unifi.it/upload/sub/pubblicazioni/repec/pdf/wp11_2020.pdf
    Download Restriction: no
    ---><---

    Citations

    RePEc Biblio mentions

    As found on the RePEc Biblio, the curated bibliography for Economics:
    1. > Economics of Welfare > Health Economics > Economics of Pandemics > Specific pandemics > Covid-19 > Health > Distancing and Lockdown > Effect on Health

    Citations

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


    Cited by:

    1. David Turner & Balázs Égert & Yvan Guillemette & Jarmila Botev, 2021. "The tortoise and the hare: The race between vaccine rollout and new COVID variants," OECD Economics Department Working Papers 1672, OECD Publishing.
    2. Mader, Sebastian & Rüttenauer, Tobias, 2021. "The effects of non-pharmaceutical interventions on COVID-19-related mortality: A generalized synthetic control approach across 169 countries," SocArXiv v2ef8, Center for Open Science.
    3. Anthonin Levelu & Alexander-Nikolai Sandkamp, 2022. "A Lockdown a Day Keeps the Doctor Away: The Global Effectiveness of Non-Pharmaceutical Interventions in Mitigating the Covid-19 Pandemic," CESifo Working Paper Series 10023, CESifo.
    4. Levelu, Anthonin & Sandkamp, Alexander-Nikolai, 2022. "A lockdown a day keeps the doctor away: The effectiveness of non-pharmaceutical interventions during the Covid-19 pandemic," Kiel Working Papers 2221, Kiel Institute for the World Economy (IfW Kiel).

    More about this item

    Keywords

    COVID19; mitigation measures; policy analysis;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • I1 - Health, Education, and Welfare - - Health

    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:frz:wpaper:wp2020_11.rdf. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Giorgio Ricchiuti (email available below). General contact details of provider: https://edirc.repec.org/data/defirit.html .

    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.