Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/99967
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Applied Mathematics | - |
| dc.contributor | School of Nursing | - |
| dc.creator | Zhao, S | en_US |
| dc.creator | Cao, P | en_US |
| dc.creator | Gao, D | en_US |
| dc.creator | Zhuang, Z | en_US |
| dc.creator | Wang, W | en_US |
| dc.creator | Ran, J | en_US |
| dc.creator | Wang, K | en_US |
| dc.creator | Yang, L | en_US |
| dc.creator | Einollahi, MR | en_US |
| dc.creator | Lou, Y | en_US |
| dc.creator | He, D | en_US |
| dc.creator | Wang, MH | en_US |
| dc.date.accessioned | 2023-07-26T05:49:29Z | - |
| dc.date.available | 2023-07-26T05:49:29Z | - |
| dc.identifier.issn | 2468-2152 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10397/99967 | - |
| dc.language.iso | en | en_US |
| dc.publisher | KeAi Communications Co. | en_US |
| dc.rights | © 2022 The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. | en_US |
| dc.rights | 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 Zhao, S., Cao, P., Gao, D., Zhuang, Z., Wang, W., Ran, J., . . . Wang, M. H. (2022). Modelling COVID-19 outbreak on the diamond princess ship using the public surveillance data. Infectious Disease Modelling, 7(2), 189-195 is available at https://doi.org/10.1016/j.idm.2022.05.005. | en_US |
| dc.subject | COVID-19 | en_US |
| dc.subject | Reproduction number | en_US |
| dc.subject | Transmission | en_US |
| dc.subject | Diamond princess ship | en_US |
| dc.title | Modelling COVID-19 outbreak on the Diamond Princess ship using the public surveillance data | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.spage | 189 | en_US |
| dc.identifier.epage | 195 | en_US |
| dc.identifier.volume | 7 | en_US |
| dc.identifier.issue | 2 | en_US |
| dc.identifier.doi | 10.1016/j.idm.2022.05.005 | en_US |
| dcterms.abstract | The novel coronavirus disease 2019 (COVID-19) outbreak on the Diamond Princess (DP) ship has caused over 634 cases as of February 20, 2020. We model the transmission process on DP ship as a stochastic branching process, and estimate the reproduction number at the innitial phase of 2.9 (95%CrI: 1.7–7.7). The epidemic doubling time is 3.4 days, and thus timely actions on COVID-19 control were crucial. We estimate the COVID-19 transmissibility reduced 34% after the quarantine program on the DP ship which was implemented on February 5. According to the model simulation, relocating the population at risk may sustainably decrease the epidemic size, postpone the timing of epidemic peak, and thus relieve the tensive demands in the healthcare. The lesson learnt on the ship should be considered in other similar settings. | - |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | Infectious disease modelling, June 2022, v. 7, no. 2, p. 189-195 | en_US |
| dcterms.isPartOf | Infectious disease modelling | en_US |
| dcterms.issued | 2022-06 | - |
| dc.identifier.scopus | 2-s2.0-85130937181 | - |
| dc.identifier.eissn | 2468-0427 | en_US |
| dc.description.validate | 202307 bcch | - |
| dc.description.oa | Version of Record | en_US |
| dc.identifier.FolderNumber | OA_Scopus/WOS | - |
| dc.description.fundingSource | RGC | en_US |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | Alibaba-Hong Kong Polytechnic University; National Natural Science Foundation of China; General Research Fund of Shanghai Normal University; State Key Laboratory of Infectious Disease Prevention and Control | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.description.oaCategory | CC | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Zhao_Modelling_Covid-19_Outbreak.pdf | 690.99 kB | Adobe PDF | View/Open |
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