Literature DB >> 33748065

Analysis of the Tradeoff Between Health and Economic Impacts of the Covid-19 Epidemic.

Samson Lasaulce1, Chao Zhang2, Vineeth Varma1, Irinel Constantin Morărescu1.   

Abstract

Various measures have been taken in different countries to mitigate the Covid-19 epidemic. But, throughout the world, many citizens don't understand well how these measures are taken and even question the decisions taken by their government. Should the measures be more (or less) restrictive? Are they taken for a too long (or too short) period of time? To provide some quantitative elements of response to these questions, we consider the well-known SEIR model for the Covid-19 epidemic propagation and propose a pragmatic model of the government decision-making operation. Although simple and obviously improvable, the proposed model allows us to study the tradeoff between health and economic aspects in a pragmatic and insightful way. Assuming a given number of phases for the epidemic (namely, 4 in this paper) and a desired tradeoff between health and economic aspects, it is then possible to determine the optimal duration of each phase and the optimal severity level (i.e., the target transmission rate) for each of them. The numerical analysis is performed for the case of France but the adopted approach can be applied to any country. One of the takeaway messages of this analysis is that being able to implement the optimal 4-phase epidemic management strategy in France would have led to 1.05 million of infected people and a GDP loss of 231 billions € instead of 6.88 millions of infected and a loss of 241 billions €. This indicates that, seen from the proposed model perspective, the effectively implemented epidemic management strategy is good economically, whereas substantial improvements might have been obtained in terms of health impact. Our analysis indicates that the lockdown/severe phase should have been more severe but shorter, and the adjustment phase occurred earlier. Due to the natural tendency of people to deviate from the official rules, updating measures every month over the whole epidemic episode seems to be more appropriate.
Copyright © 2021 Lasaulce, Zhang, Varma and Morărescu.

Entities:  

Keywords:  COVID-19; SARS-CoV2; SEIR model; behavior model; epidemic; epidemic management strategy

Mesh:

Year:  2021        PMID: 33748065      PMCID: PMC7973092          DOI: 10.3389/fpubh.2021.620770

Source DB:  PubMed          Journal:  Front Public Health        ISSN: 2296-2565


  9 in total

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3.  Impact of Lockdown on the Epidemic Dynamics of COVID-19 in France.

Authors:  Lionel Roques; Etienne K Klein; Julien Papaïx; Antoine Sar; Samuel Soubeyrand
Journal:  Front Med (Lausanne)       Date:  2020-06-05

4.  How and When to End the COVID-19 Lockdown: An Optimization Approach.

Authors:  Thomas Rawson; Tom Brewer; Dessislava Veltcheva; Chris Huntingford; Michael B Bonsall
Journal:  Front Public Health       Date:  2020-06-10

5.  The positive impact of lockdown in Wuhan on containing the COVID-19 outbreak in China.

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Journal:  Emerg Infect Dis       Date:  2020-07-16       Impact factor: 6.883

9.  Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention.

Authors:  Zunyou Wu; Jennifer M McGoogan
Journal:  JAMA       Date:  2020-04-07       Impact factor: 56.272

  9 in total
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2.  The Configuration of Incentives in Small and Medium-Sized Content Platform Enterprises Under the Normalization of COVID-19.

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Journal:  Front Public Health       Date:  2022-04-29

3.  Biophysical and Biochemical Characterization of the Receptor Binding Domain of SARS-CoV-2 Variants.

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Journal:  Protein J       Date:  2022-09-01       Impact factor: 4.000

  3 in total

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