About: Scenario analysis of non-pharmaceutical interventions on global COVID-19 transmissions

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Scenario analysis of non-pharmaceutical interventions on global COVID-19 transmissions
Creator	Chen, Xiaohui Qiu, Ziyi
Source	ArXiv
abstract	This paper introduces a dynamic panel SIR (DP-SIR) model to investigate the impact of non-pharmaceutical interventions (NPIs) on the COVID-19 transmission dynamics with panel data from 9 countries across the globe. By constructing scenarios with different combinations of NPIs, our empirical findings suggest that countries may avoid the lockdown policy with imposing school closure, mask wearing and centralized quarantine to reach similar outcomes on controlling the COVID-19 infection. Our results also suggest that, as of April 4th, 2020, certain countries such as the U.S. and Singapore may require additional measures of NPIs in order to control disease transmissions more effectively, while other countries may cautiously consider to gradually lift some NPIs to mitigate the costs to the overall economy.
has issue date	2020-04-07(xsd:dateTime)
has license	arxiv
sha1sum (hex)	e7bbb9a6504f9b72c52bc62ae849ba4e95b58a8b
resource representing a document's title	Scenario analysis of non-pharmaceutical interventions on global COVID-19 transmissions
resource representing a document's body	covid:e7bbb9a6504f9b72c52bc62ae849ba4e95b58a8b#body_text
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