Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/96535
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Applied Mathematics | - |
dc.creator | Wen, C | en_US |
dc.creator | Wei, J | en_US |
dc.creator | Ma, ZF | en_US |
dc.creator | He, M | en_US |
dc.creator | Zhao, S | en_US |
dc.creator | Ji, J | en_US |
dc.creator | He, D | en_US |
dc.date.accessioned | 2022-12-07T02:55:20Z | - |
dc.date.available | 2022-12-07T02:55:20Z | - |
dc.identifier.issn | 2468-0427 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/96535 | - |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | © 2022 The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). | en_US |
dc.rights | The following publication Wen, C., Wei, J., Ma, Z. F., He, M., Zhao, S., Ji, J., & He, D. (2022). Heterogeneous epidemic modelling within an enclosed space and corresponding Bayesian estimation. Infectious Disease Modelling, 7(2), 1-24 is available at https://doi.org/10.1016/j.idm.2022.02.001. | en_US |
dc.subject | COVID-19 | en_US |
dc.subject | Epidemic model | en_US |
dc.subject | Incubation period | en_US |
dc.subject | Transmission | en_US |
dc.title | Heterogeneous epidemic modelling within an enclosed space and corresponding Bayesian estimation | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 1 | en_US |
dc.identifier.epage | 24 | en_US |
dc.identifier.volume | 7 | en_US |
dc.identifier.issue | 2 | en_US |
dc.identifier.doi | 10.1016/j.idm.2022.02.001 | en_US |
dcterms.abstract | Since March 11th, 2020, COVID-19 has been a global pandemic for more than one years due to a long and infectious incubation period. This paper establishes a heterogeneous epidemic model that divides the incubation period into infectious and non-infectious and employs the Bayesian framework to model the ‘Diamond Princess’ enclosed space incident. The heterogeneity includes two different identities, two transmission methods, two different-size rooms, and six transmission stages. This model is also applicable to similar mixed structures, including closed schools, hospitals, and communities. As the COVID-19 pandemic continues, our mathematical modeling can provide management insights to the governments and policymakers on how the COVID-19 disease has spread and what prevention strategies still need to be taken. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Infectious disease modelling, June 2022, v. 7, no. 2, p. 1-24 | en_US |
dcterms.isPartOf | Infectious disease modelling | en_US |
dcterms.issued | 2022-06 | - |
dc.identifier.scopus | 2-s2.0-85126137005 | - |
dc.description.validate | 202212 bckw | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_Scopus/WOS | - |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Journal/Magazine Article |
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File | Description | Size | Format | |
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1-s2.0-S2468042722000057-main.pdf | 2.04 MB | Adobe PDF | View/Open |
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