Show simple item record

dc.contributor.author
Banholzer, Nicolas
dc.contributor.supervisor
Feuerriegel, Stefan
dc.contributor.supervisor
Vach, Werner
dc.contributor.supervisor
Stadler, Tanja
dc.date.accessioned
2022-09-26T08:38:12Z
dc.date.available
2022-09-26T07:44:43Z
dc.date.available
2022-09-26T08:38:12Z
dc.date.issued
2022
dc.identifier.uri
http://hdl.handle.net/20.500.11850/572655
dc.identifier.doi
10.3929/ethz-b-000572655
dc.description.abstract
Considering the total number of infections and deaths, the COVID-19 pandemic is the most severe pandemic in modern history. Countries around the world made considerable efforts to control the spread and mitigate the impact of the pandemic. Parts of these efforts comprised non-pharmaceutical interventions, such as the closure of schools, the cancellation of public events, and orders to stay at home. These interventions entail enormous economic and societal costs as they impose contact restrictions on the entire population. This dissertation studies the effectiveness of non-pharmaceutical interventions against the COVID-19 pandemic. The first study in this dissertation provides a systematic overview of different methodologies that were used in empirical studies for assessing the effects of non-pharmaceutical interventions. One of these methodologies, i.e. a semi-mechanistic Bayesian hierarchical model, is used in the second study of this dissertation to empirically estimate the average effects of seven non-pharmaceutical interventions across 20 countries. Variation in the effectiveness of non-pharmaceutical interventions between countries is considered in the third study of this dissertation, which comprises two steps: (1) estimating variation in the overall effectiveness of non-pharmaceutical interventions between countries and (2) explaining this variation through country characteristics. Altogether, this dissertation makes contributions to a growing field of studies modeling the effects of non-pharmaceutical interventions. In particular, a systematic classification of methodologies that were used to assess the effects of non-pharmaceutical interventions may help in establishing a methodological foundation for future empirical studies in this area. Furthermore, as such studies may inform public health policy, a better understanding of the conditions under which non-pharmaceutical interventions are more or less effective is required, and it is provided in this dissertation.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
ETH Zurich
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
COVID-19
en_US
dc.subject
non-pharmaceutical interventions
en_US
dc.subject
Bayesian modeling
en_US
dc.subject
health policy
en_US
dc.subject
infectious disease epidemiology
en_US
dc.title
Modeling the effects of non-pharmaceutical interventions during the COVID-19 pandemic
en_US
dc.type
Doctoral Thesis
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2022-09-26
ethz.size
167 p.
en_US
ethz.code.ddc
DDC - DDC::6 - Technology, medicine and applied sciences::610 - Medical sciences, medicine
en_US
ethz.code.jel
JEL - JEL::I - Health, Education, and Welfare::I1 - Health::I18 - Government Policy; Regulation; Public Health
en_US
ethz.identifier.diss
28456
en_US
ethz.publication.place
Zurich
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02120 - Dep. Management, Technologie und Ökon. / Dep. of Management, Technology, and Ec.::09623 - Feuerriegel, Stefan (ehemalig) / Feuerriegel, Stefan (former)
en_US
ethz.date.deposited
2022-09-26T07:44:44Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2022-09-26T08:38:13Z
ethz.rosetta.lastUpdated
2023-02-07T06:32:30Z
ethz.rosetta.versionExported
true
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=Modeling%20the%20effects%20of%20non-pharmaceutical%20interventions%20during%20the%20COVID-19%20pandemic&rft.date=2022&rft.au=Banholzer,%20Nicolas&rft.genre=unknown&rft.btitle=Modeling%20the%20effects%20of%20non-pharmaceutical%20interventions%20during%20the%20COVID-19%20pandemic
 Search print copy at ETH Library

Files in this item

Thumbnail

Publication type

Show simple item record