Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/99943
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Applied Mathematics | - |
| dc.creator | Yu, B | en_US |
| dc.creator | Li, Q | en_US |
| dc.creator | Chen, J | en_US |
| dc.creator | He, D | en_US |
| dc.date.accessioned | 2023-07-26T05:49:15Z | - |
| dc.date.available | 2023-07-26T05:49:15Z | - |
| dc.identifier.issn | 2468-2152 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10397/99943 | - |
| 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 Yu, B., Li, Q., Chen, J., & He, D. (2023). The impact of COVID-19 vaccination campaign in hong kong SAR china and singapore. Infectious Disease Modelling, 8(1), 101-106 is available at https://doi.org/10.1016/j.idm.2022.12.004. | en_US |
| dc.title | The impact of COVID-19 vaccination campaign in Hong Kong SAR China and Singapore | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.spage | 101 | en_US |
| dc.identifier.epage | 106 | en_US |
| dc.identifier.volume | 8 | en_US |
| dc.identifier.issue | 1 | en_US |
| dc.identifier.doi | 10.1016/j.idm.2022.12.004 | en_US |
| dcterms.abstract | Background: Vaccination has been the most important measure to mitigate the COVID-19 pandemic. The vaccination coverage was relatively low in Hong Kong Special Administrative Region China, compared to Singapore, in early 2022. Hypothetically, if the two regions, Hong Kong (HK) and Singapore (SG), swap their vaccination coverage rate, what outcome would occur? | - |
| dcterms.abstract | Method: We adopt the Susceptible – Vaccinated – Exposed – Infectious – Hospitalized – Death - Recovered model with a time-varying transmission rate and fit the model to weekly reported COVID-19 deaths (the data up to 2022 Nov 4) in HK and SG using R package POMP. After we obtain a reasonable fitting, we rerun our model with the estimated parameter values and swap the vaccination rates between HK and SG to explore what would happen. | - |
| dcterms.abstract | Results: Our model fits the data well. The reconstructed transmission rate was higher in HK than in SG in 2022. With a higher vaccination rate as in SG, the death total reported in HK would decrease by 37.5% and the timing of the peak would delay by 3 weeks. With a lower vaccination rate as in HK, the death total reported in SG would increase to 5.5-fold high with a peak 6 weeks earlier than the actual during the Delta variant period. | - |
| dcterms.abstract | Conclusions: Vaccination rate changes in HK and SG may lead to very different outcomes. This is likely due that the estimated transmission rates were very different in HK and SG which reflect the different control policies and dominant variants. Because of strong control measures, HK avoided large-scale community transmission of the Delta variant. Given the high breakthrough infection rate and transmission rate of the Omicron variant, increasing the vaccination rate in HK will likely yield a mild (but significant) contribution in terms of lives saved. While in SG, lower vaccination coverage to the level of HK will be disastrous. | - |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | Infectious disease modelling, Mar. 2023, v. 8, no. 1, p. 101-106 | en_US |
| dcterms.isPartOf | Infectious disease modelling | en_US |
| dcterms.issued | 2023-03 | - |
| dc.identifier.scopus | 2-s2.0-85145291334 | - |
| 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 | Otto Poon Charitable Foundation | 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 | |
|---|---|---|---|---|
| Yu_impact_Covid-19_Vaccination.pdf | 686.21 kB | Adobe PDF | View/Open |
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