About: Lockdown Strategies, Mobility Patterns and COVID-19

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Lockdown Strategies, Mobility Patterns and COVID-19
Creator	Askitas, Nikos Tatsiramos, Konstantinos Verheyden, Bertrand
source	ArXiv
abstract	We develop a multiple-events model and exploit within and between country variation in the timing, type and level of intensity of various public policies to study their dynamic effects on the daily incidence of COVID-19 and on population mobility patterns across 135 countries. We remove concurrent policy bias by taking into account the contemporaneous presence of multiple interventions. The main result of the paper is that cancelling public events and imposing restrictions on private gatherings followed by school closures have quantitatively the most pronounced effects on reducing the daily incidence of COVID-19. They are followed by workplace as well as stay-at-home requirements, whose statistical significance and levels of effect are not as pronounced. Instead, we find no effects for international travel controls, public transport closures and restrictions on movements across cities and regions. We establish that these findings are mediated by their effect on population mobility patterns in a manner consistent with time-use and epidemiological factors.
has issue date	2020-05-31(xsd:dateTime)
has license	arxiv
sha1sum (hex)	8538a1299ce81c7df361de1cb5d188c831a2a2a2
resource representing a document's title	Lockdown Strategies, Mobility Patterns and COVID-19
resource representing a document's body	covid:8538a1299ce81c7df361de1cb5d188c831a2a2a2#body_text
is schema:about of	named entity 'early stages' named entity 'trace' named entity 'Instead' named entity 'mortality rate' named entity 'responded' »more»

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