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The effectiveness of government measures during the first wave of the outbreak

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  • María Celeste Ratto
  • Juan Manuel Cabrera
  • Daniela Zacharías
  • Juan Martín Azerrat

Abstract

Objectives The Covid‐19 pandemic changed the humanity life. Millions of deaths and infections that spread rapidly around the world made all countries take measures to stop the outbreaks and assume the enormous consequences that the Coronavirus is leaving behind. The challenge has been enormous; governments across the world have implemented a wide span of nonpharmaceutical interventions to mitigate the Coronavirus pandemic (SARS‐CoV‐2) and its consequences in economic terms. The aim of this article is to analyze the effects that different kinds of measures taken by Latin American governments had on the daily new infections. The countries analyzed were Argentina, Bolivia, Chile, Colombia, Costa Rica, El Salvador, Guatemala, Honduras, México, Panamá, Peru, Paraguay, Dominican Republic, Uruguay and Venezuela. Methods A time series cross‐section analysis was performed, which allows studying the evolution of the number of daily cases over time and by country. The timeframe of this study was from the day the first case of coronavirus was registered in a country, until September 14, 2020. We used data from Covid‐19 Dashboard database of Johns Hopkins University and the Oxford Covid‐19 Government Response Tracker data set. Results The Stringency Index did not have a significant influence at the beginning of the pandemic but turned out to be significant and inversely related to DNI during Phases 2 and 3. On the contrary, the Economic and the Sanitary Containment Index was not statistically significant for any of the phases. Furthermore, the level of wealthfare of a country, measured from its GDP per capita, exerts a substantive conditional influence on the management of the Covid‐19 crisis. Conclusions The scenarios have been changing and strategies had to change as well in order to be successful because they lose effectiveness and have increased social costs with time. Therefore, understanding the relative effectiveness of such measures had on the disease spreading during the first wave of the outbreak, could help governments to make more informed decisions about how to control future outbreaks of the Covid‐19 pandemic.

Suggested Citation

  • María Celeste Ratto & Juan Manuel Cabrera & Daniela Zacharías & Juan Martín Azerrat, 2021. "The effectiveness of government measures during the first wave of the outbreak," Social Science Quarterly, Southwestern Social Science Association, vol. 102(5), pages 2088-2105, September.
    • Handle: RePEc:bla:socsci:v:102:y:2021:i:5:p:2088-2105
    DOI: 10.1111/ssqu.13043
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    References listed on IDEAS

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    1. Cindy Cheng & Joan Barceló & Allison Spencer Hartnett & Robert Kubinec & Luca Messerschmidt, 2020. "COVID-19 Government Response Event Dataset (CoronaNet v.1.0)," Nature Human Behaviour, Nature, vol. 4(7), pages 756-768, July.
    2. Sumedha Gupta & Thuy D. Nguyen & Felipe Lozano Rojas & Shyam Raman & Byungkyu Lee & Ana Bento & Kosali I. Simon & Coady Wing, 2020. "Tracking Public and Private Responses to the COVID-19 Epidemic: Evidence from State and Local Government Actions," NBER Working Papers 27027, National Bureau of Economic Research, Inc.
    3. Poe, Steven C. & Tate, C. Neal, 1994. "Repression of Human Rights to Personal Integrity in the 1980s: A Global Analysis," American Political Science Review, Cambridge University Press, vol. 88(4), pages 853-872, December.
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    Cited by:

    1. Arian Daneshmanda & Ali Mazyaki & Mohammad Reza Farzanegan & Mohammad Javad Gheidari, 2024. "Optimizing Social Assistance Strategies in Response to the COVID-19 Crisis," MAGKS Papers on Economics 202422, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    2. Gowokani Chijere Chirwa & Joe Maganga Zonda & Samantha Soyiyo Mosiwa & Jacob Mazalale, 2023. "Effect of government intervention in relation to COVID-19 cases and deaths in Malawi," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-7, December.
    3. Rajeev K. Goel & Michael A. Nelson, 2023. "Aggressive COVID‐19 lockdown policies: What factors significantly drove them across nations?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(4), pages 2211-2222, June.
    4. Lorena Barberia & Thomas Plümper & Guy D. Whitten, 2021. "The political science of Covid‐19: An introduction," Social Science Quarterly, Southwestern Social Science Association, vol. 102(5), pages 2045-2054, September.

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