Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/109951
DC Field | Value | Language |
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dc.contributor | Department of Applied Mathematics | - |
dc.creator | Musa, SS | - |
dc.creator | Zhao, S | - |
dc.creator | Abdulrashid, I | - |
dc.creator | Qureshi, S | - |
dc.creator | Colubri, A | - |
dc.creator | He, D | - |
dc.date.accessioned | 2024-11-20T07:30:31Z | - |
dc.date.available | 2024-11-20T07:30:31Z | - |
dc.identifier.issn | 2468-2152 | - |
dc.identifier.uri | http://hdl.handle.net/10397/109951 | - |
dc.language.iso | en | en_US |
dc.publisher | KeAi Publishing Communications Ltd. | en_US |
dc.rights | © 2024 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 Musa, S. S., Zhao, S., Abdulrashid, I., Qureshi, S., Colubri, A., & He, D. (2024). Evaluating the spike in the symptomatic proportion of SARS-CoV-2 in China in 2022 with variolation effects: a modeling analysis. Infectious Disease Modelling, 9(2), 601-617 is available at https://doi.org/10.1016/j.idm.2024.02.011. | en_US |
dc.subject | Epidemic | en_US |
dc.subject | Epidemiological modeling | en_US |
dc.subject | Reproduction number | en_US |
dc.subject | SARS-CoV-2 | en_US |
dc.subject | Variolation | en_US |
dc.title | Evaluating the spike in the symptomatic proportion of SARS-CoV-2 in China in 2022 with variolation effects : a modeling analysis | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 601 | - |
dc.identifier.epage | 617 | - |
dc.identifier.volume | 9 | - |
dc.identifier.issue | 2 | - |
dc.identifier.doi | 10.1016/j.idm.2024.02.011 | - |
dcterms.abstract | Despite most COVID-19 infections being asymptomatic, mainland China had a high increase in symptomatic cases at the end of 2022. In this study, we examine China's sudden COVID-19 symptomatic surge using a conceptual SIR-based model. Our model considers the epidemiological characteristics of SARS-CoV-2, particularly variolation, from non-pharmaceutical intervention (facial masking and social distance), demography, and disease mortality in mainland China. The increase in symptomatic proportions in China may be attributable to (1) higher sensitivity and vulnerability during winter and (2) enhanced viral inhalation due to spikes in SARS-CoV-2 infections (high transmissibility). These two reasons could explain China's high symptomatic proportion of COVID-19 in December 2022. Our study, therefore, can serve as a decision-support tool to enhance SARS-CoV-2 prevention and control efforts. Thus, we highlight that facemask-induced variolation could potentially reduces transmissibility rather than severity in infected individuals. However, further investigation is required to understand the variolation effect on disease severity. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Infectious disease modelling, June 2024, v. 9, no. 2, p. 601-6017 | - |
dcterms.isPartOf | Infectious disease modelling | - |
dcterms.issued | 2024-06 | - |
dc.identifier.scopus | 2-s2.0-85188571532 | - |
dc.identifier.eissn | 2468-0427 | - |
dc.description.validate | 202411 bcch | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_Scopus/WOS | en_US |
dc.description.fundingSource | RGC | 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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1-s2.0-S2468042724000319-main.pdf | 3.2 MB | Adobe PDF | View/Open |
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