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COVID-19 crisis management in Luxembourg: Insights from an epidemionomic approach.
Burzynski, Michal; Machado, Joël; Aalto, Atte; Beine, Michel; Goncalves, Jorge; Haas, Tom; Kemp, Françoise; Magni, Stefano; Mombaerts, Laurent; Picard, Pierre; Proverbio, Daniele; Skupin, Alexander; Docquier, Frédéric.
  • Burzynski M; Luxembourg Institute of Socio-Economic Research, Luxembourg.
  • Machado J; Luxembourg Institute of Socio-Economic Research, Luxembourg.
  • Aalto A; University of Luxembourg, Luxembourg Centre for Systems Biomedicine, Luxembourg.
  • Beine M; University of Luxembourg, Department of Economics and Management, Luxembourg.
  • Goncalves J; University of Luxembourg, Luxembourg Centre for Systems Biomedicine, Luxembourg.
  • Haas T; STATEC, Luxembourg.
  • Kemp F; University of Luxembourg, Luxembourg Centre for Systems Biomedicine, Luxembourg.
  • Magni S; University of Luxembourg, Luxembourg Centre for Systems Biomedicine, Luxembourg.
  • Mombaerts L; University of Luxembourg, Luxembourg Centre for Systems Biomedicine, Luxembourg.
  • Picard P; University of Luxembourg, Department of Economics and Management, Luxembourg.
  • Proverbio D; University of Luxembourg, Luxembourg Centre for Systems Biomedicine, Luxembourg.
  • Skupin A; University of Luxembourg, Luxembourg Centre for Systems Biomedicine, Luxembourg.
  • Docquier F; Luxembourg Institute of Socio-Economic Research, Luxembourg. Electronic address: frederic.docquier@liser.lu.
Econ Hum Biol ; 43: 101051, 2021 12.
Article in English | MEDLINE | ID: covidwho-1330790
ABSTRACT
We develop an epidemionomic model that jointly analyzes the health and economic responses to the COVID-19 crisis and to the related containment and public health policy measures implemented in Luxembourg. The model has been used to produce nowcasts and forecasts at various stages of the crisis. We focus here on two key moments in time, namely the deconfinement period following the first lockdown, and the onset of the second wave. In May 2020, we predicted a high risk of a second wave that was mainly explained by the resumption of social life, low participation in large-scale testing, and reduction in teleworking practices. Simulations conducted 5 months later reveal that managing the second wave with moderately coercive measures has been epidemiologically and economically effective. Assuming a massive third (or fourth) wave will not materialize in 2021, the real GDP loss due to the second wave will be smaller than 0.4 percentage points in 2020 and 2021.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: Europa Language: English Journal: Econ Hum Biol Journal subject: Biology / Social Sciences Year: 2021 Document Type: Article Affiliation country: J.ehb.2021.101051

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: Europa Language: English Journal: Econ Hum Biol Journal subject: Biology / Social Sciences Year: 2021 Document Type: Article Affiliation country: J.ehb.2021.101051