Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/88553
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Applied Mathematics | en_US |
dc.contributor | School of Nursing | en_US |
dc.creator | Zhuang, Z | en_US |
dc.creator | Cao, PH | en_US |
dc.creator | Zhao, S | en_US |
dc.creator | Lou, YJ | en_US |
dc.creator | Yang, S | en_US |
dc.creator | Wang, WM | en_US |
dc.creator | Yang, L | en_US |
dc.creator | He, DH | en_US |
dc.date.accessioned | 2020-11-27T05:50:22Z | - |
dc.date.available | 2020-11-27T05:50:22Z | - |
dc.identifier.uri | http://hdl.handle.net/10397/88553 | - |
dc.language.iso | en | en_US |
dc.publisher | Frontiers Research Foundation | en_US |
dc.rights | Copyright © 2020 Zhuang, Cao, Zhao, Lou, Yang, Wang, Yang and He. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY)(https://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. | en_US |
dc.rights | The following publication Zhuang, Z., Cao, P. H., Zhao, S., Lou, Y. J., Yang, S., Wang, W. M., . . . He, D. H. (2020). Estimation of Local Novel Coronavirus , 1-(COVID-19) Cases in Wuhan, China from Off-Site Reported Cases and Population Flow Data from Different Sources. Frontiers in Physics, 8, 3366 is available at https://dx.doi.org/10.3389/fphy.2020.00336 | en_US |
dc.subject | COVID-19 | en_US |
dc.subject | Mobility | en_US |
dc.subject | Pneumonia | en_US |
dc.subject | Transportation | en_US |
dc.subject | Outbreaks | en_US |
dc.title | Estimation of local novel coronavirus (COVID-19) cases in Wuhan, China from off-site reported cases and population flow data from different sources | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 9 | en_US |
dc.identifier.epage | 6 | en_US |
dc.identifier.volume | 8 | en_US |
dc.identifier.doi | 10.3389/fphy.2020.00336 | en_US |
dcterms.abstract | In December 2019, novel coronavirus disease (COVID-19) hit Wuhan, Hubei Province, China and spread to the rest of China and overseas. The emergence of this virus coincided with the Spring Festival Travel Rush in China. It is possible to estimate the total number of COVID-19 cases in Wuhan, by 23 January 2020, given the cases reported in other cities/regions and population flow data between Wuhan and these cities/regions. We built a model to estimate the total number of COVID-19 cases in Wuhan by 23 January 2020, based on the number of cases detected outside Wuhan city in China, with the assumption that cases exported from Wuhan were less likely underreported in other cities/regions. We employed population flow data from different sources between Wuhan and other cities/regions by 23 January 2020. The number of total cases in Wuhan was determined by the maximum log likelihood estimation and Akaike Information Criterion (AIC) weight. We estimated 8 679 (95% CI: 7 701, 9 732) as total COVID-19 cases in Wuhan by 23 January 2020, based on combined source of data from Tencent and Baidu. Sources of population flow data impact the estimates of the total number of COVID-19 cases in Wuhan before city lockdown. We should make a comprehensive analysis based on different sources of data to overcome the bias from different sources. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Frontiers in physics, Sept. 2020, v. 8, 336, p. 9-6 | en_US |
dcterms.isPartOf | Frontiers in physics | en_US |
dcterms.issued | 2020-09 | - |
dc.identifier.isi | WOS:000572487400001 | - |
dc.identifier.scopus | 2-s2.0-85091155958 | - |
dc.identifier.eissn | 2296-424X | en_US |
dc.identifier.artn | 336 | en_US |
dc.description.validate | 202011 bcrc | en_US |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | a0982-n20, OA_Scopus/WOS | en_US |
dc.identifier.SubFormID | 2279 | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | P0031768 | 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 | |
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Zhuang_Covid-19_Wuhan_Population.pdf | 635.58 kB | Adobe PDF | View/Open |
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