Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/93903
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Applied Mathematics | en_US |
dc.creator | Ho, SH | en_US |
dc.creator | He, D | en_US |
dc.creator | Eftimie, R | en_US |
dc.date.accessioned | 2022-08-03T01:24:09Z | - |
dc.date.available | 2022-08-03T01:24:09Z | - |
dc.identifier.uri | http://hdl.handle.net/10397/93903 | - |
dc.language.iso | en | en_US |
dc.publisher | Academic Press | en_US |
dc.rights | © 2019 Elsevier Ltd. All rights reserved. | en_US |
dc.rights | © 2019. 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.rights | The following publication Ho, S. H., He, D., & Eftimie, R. (2019). Mathematical models of transmission dynamics and vaccine strategies in Hong Kong during the 2017–2018 winter influenza season. Journal of theoretical biology, 476, 74-94 is available at https://doi.org/10.1016/j.jtbi.2019.05.013 | en_US |
dc.subject | Influenza | en_US |
dc.subject | SVIR model | en_US |
dc.subject | Vaccination coverage | en_US |
dc.subject | Vaccine efficacy | en_US |
dc.title | Mathematical models of transmission dynamics and vaccine strategies in Hong Kong during the 2017–2018 winter influenza season | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 74 | en_US |
dc.identifier.epage | 94 | en_US |
dc.identifier.volume | 476 | en_US |
dc.identifier.doi | 10.1016/j.jtbi.2019.05.013 | en_US |
dcterms.abstract | Two mathematical models described by simple ordinary differential equations are developed to investigate the Hong Kong influenza epidemic during 2017–2018 winter, based on overall epidemic dynamics and different influenza subtypes. The first model, describing the overall epidemic dynamics, provides the starting data for the second model which different influenza subtypes, and whose dynamics is further investigated. Weekly data from December 2017 to May 2018 are obtained from the data base of the Centre of Health Protection in Hong Kong, and used to parametrise the models. With the help of these models, we investigate the impact of different vaccination strategies and determine the corresponding critical vaccination coverage for different vaccine efficacies. The results suggest that at least 72% of Hong Kong population should have been vaccinated during 2017–2018 winter to prevent the seasonal epidemic by herd immunity (while data showed that only a maximum of 11.6% of the population were vaccinated). Our results also show that the critical vaccination coverage decreases with increasing vaccine efficacy, and the increase in one influenza subtype vaccine efficacy may lead to an increase in infections caused by a different subtype. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Journal of theoretical biology, 7 Sept. 2019, v. 476, p. 74-94 | en_US |
dcterms.isPartOf | Journal of theoretical biology | en_US |
dcterms.issued | 2019-09-07 | - |
dc.identifier.scopus | 2-s2.0-85066931149 | - |
dc.identifier.pmid | 31128142 | - |
dc.identifier.eissn | 0022-5193 | en_US |
dc.description.validate | 202208 bcfc | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | AMA-0263 | - |
dc.description.fundingSource | RGC | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 13910560 | - |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
He_Mathematical_Models_Transmission.pdf | Pre-Published version | 26.51 MB | Adobe PDF | View/Open |
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