<div class="csl-bib-body">
<div class="csl-entry">Caulkins, J. P., Grass, D., Feichtinger, G., Hartl, R., Kort, P. M., Fürnkranz-Prskawetz, A., Seidl, A., & Wrzaczek, S. (2021). COVID-19 and Optimal Lockdown Strategies: The Effect of New and More Virulent Strains. In M. del C. Boado-Penas, J. Eisenberg, & S. Şahin (Eds.), <i>Springer Actuarial</i> (pp. 163–190). Springer. https://doi.org/10.1007/978-3-030-78334-1_9</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/30580
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dc.description.abstract
Most nations have responded to the COVID-19 pandemic by locking
down parts of their economies starting in early 2020 to reduce the infectious spread.
The optimal timing of the beginning and end of the lockdown, together with its
intensity, is determined by the tradeoff between economic losses and improved health
outcomes. These choices can be modelledwithin the framework of an optimal control
model that recognises the nonlinear dynamics of epidemic spread and the increased
risks when infection rates surge beyond the healthcare system´s capacity. Past work
has shown that within such a framework very different strategies may be optimal ranging from short to long and even multiple lockdowns, and small changes in the
valuation on preventing a premature death may lead to quite different strategies
becoming optimal. There even exist parameter constellations for which two or more
very different strategies can be optimal. Here we revisit those crucial questions with
revised parameters reflecting the greater infectivity of variants such as the "UK
variant" of the SARS-CoV-2 virus and describe how the new variant may affect
levels of mortality and other outcomes.
en
dc.publisher
Springer
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dc.title
COVID-19 and Optimal Lockdown Strategies: The Effect of New and More Virulent Strains
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dc.type
Buchbeitrag
de
dc.type
Book Contribution
en
dc.relation.publication
Springer Actuarial
-
dc.relation.isbn
978-3-030-78333-4
-
dc.relation.doi
10.1007/978-3-030-78334-1
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dc.description.startpage
163
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dc.description.endpage
190
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dc.type.category
Edited Volume Contribution
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tuw.booktitle
Pandemics: Insurance and Social Protection
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tuw.peerreviewed
true
-
tuw.relation.publisher
Springer
-
tuw.relation.publisherplace
Cham
-
tuw.book.chapter
9
-
tuw.researchTopic.id
C6
-
tuw.researchTopic.name
Modelling and Simulation
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E105-04 - Forschungsbereich Variationsrechnung, Dynamische Systeme und Operations Research
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tuw.publication.orgunit
E105-03 - Forschungsbereich Ökonomie
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tuw.publisher.doi
10.1007/978-3-030-78334-1_9
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dc.description.numberOfPages
28
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wb.sciencebranch
Wirtschaftswissenschaften
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wb.sciencebranch
Mathematik
-
wb.sciencebranch.oefos
5020
-
wb.sciencebranch.oefos
1010
-
wb.facultyfocus
Wirtschaftsmathematik und Stochastik
de
wb.facultyfocus
Mathematical Methods in Economics and Stochastics
en
wb.facultyfocus.faculty
E100
-
item.openairecristype
http://purl.org/coar/resource_type/c_18cf
-
item.openairecristype
http://purl.org/coar/resource_type/c_18cf
-
item.grantfulltext
restricted
-
item.fulltext
no Fulltext
-
item.openairetype
Buchbeitrag
-
item.openairetype
Book Contribution
-
item.cerifentitytype
Publications
-
item.cerifentitytype
Publications
-
crisitem.author.dept
E105-04 - Forschungsbereich Operations Research und Kontrollsysteme
-
crisitem.author.dept
E105 - Institut für Stochastik und Wirtschaftsmathematik
-
crisitem.author.dept
E105 - Institut für Stochastik und Wirtschaftsmathematik
-
crisitem.author.dept
E105-03 - Forschungsbereich Ökonomie
-
crisitem.author.dept
E105 - Institut für Stochastik und Wirtschaftsmathematik
-
crisitem.author.dept
E105 - Institut für Stochastik und Wirtschaftsmathematik
-
crisitem.author.orcid
0000-0002-2850-6682
-
crisitem.author.parentorg
E105 - Institut für Stochastik und Wirtschaftsmathematik
-
crisitem.author.parentorg
E100 - Fakultät für Mathematik und Geoinformation
-
crisitem.author.parentorg
E100 - Fakultät für Mathematik und Geoinformation
-
crisitem.author.parentorg
E105 - Institut für Stochastik und Wirtschaftsmathematik