Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/98520
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dc.contributorDepartment of Applied Mathematicsen_US
dc.creatorGe, Jen_US
dc.creatorHe, Den_US
dc.creatorLin, Zen_US
dc.creatorZhu, Hen_US
dc.creatorZhuang, Zen_US
dc.date.accessioned2023-05-10T02:00:02Z-
dc.date.available2023-05-10T02:00:02Z-
dc.identifier.issn0025-5564en_US
dc.identifier.urihttp://hdl.handle.net/10397/98520-
dc.language.isoenen_US
dc.publisherElsevier Inc.en_US
dc.rights© 2020 Elsevier Inc. All rights reserved.en_US
dc.rights© 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.rightsThe following publication Ge, J., He, D., Lin, Z., Zhu, H., & Zhuang, Z. (2020). Four-tier response system and spatial propagation of COVID-19 in China by a network model. Mathematical Biosciences, 330, 108484 is available at https://doi.org/10.1016/j.mbs.2020.108484.en_US
dc.subjectCOVID-19 pandemicen_US
dc.subjectFour-tier response systemen_US
dc.subjectLockdownen_US
dc.subjectBasic reproduction numberen_US
dc.subjectGraph Laplacian operatoren_US
dc.subjectNetwork modelen_US
dc.titleFour-tier response system and spatial propagation of COVID-19 in China by a network modelen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume330en_US
dc.identifier.doi10.1016/j.mbs.2020.108484en_US
dcterms.abstractIn order to investigate the effectiveness of lockdown and social distancing restrictions, which have been widely carried out as policy choice to curb the ongoing COVID-19 pandemic around the world, we formulate and discuss a staged and weighted network system based on a classical SEAIR epidemiological model. Five stages have been taken into consideration according to four-tier response to Public Health Crisis, which comes from the National Contingency Plan in China. Staggered basic reproduction number has been derived and we evaluate the effectiveness of lockdown and social distancing policies under different scenarios among 19 cities/regions in mainland China. Further, we estimate the infection risk associated with the sequential release based on population mobility between cities and the intensity of some non-pharmaceutical interventions. Our results reveal that Level I public health emergency response is necessary for high-risk cities, which can flatten the COVID-19 curve effectively and quickly. Moreover, properly designed staggered-release policies are extremely significant for the prevention and control of COVID-19, furthermore, beneficial to economic activities and social stability and development. © 2020 Elsevier Inc.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationMathematical biosciences, Dec. 2020, v. 330, 108484en_US
dcterms.isPartOfMathematical biosciencesen_US
dcterms.issued2020-12-
dc.identifier.scopus2-s2.0-85092353447-
dc.identifier.pmid33039365-
dc.identifier.eissn1879-3134en_US
dc.identifier.artn108484en_US
dc.description.validate202305 bcchen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberAMA-0110-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS54044058-
dc.description.oaCategoryGreen (AAM)en_US
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