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Evaluating the spike in the symptomatic proportion of SARS-CoV-2 in China in 2022 with variolation effects: a modeling analysis.
Musa, Salihu S; Zhao, Shi; Abdulrashid, Ismail; Qureshi, Sania; Colubri, Andrés; He, Daihai.
Affiliation
  • Musa SS; Department of Genomics and Computational Biology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA.
  • Zhao S; Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong SAR, China.
  • Abdulrashid I; Department of Mathematics, Aliko Dangote University of Science and Technology, Kano, Nigeria.
  • Qureshi S; School of Public Health, Tianjin Medical University, Tianjin, 300070, China.
  • Colubri A; School of Finance and Operations Management, The University of Tulsa, 800 South Tucker Dr., Tulsa, OK, 74104, USA.
  • He D; Department of Basic Sciences and Related Studies, Mehran University of Engineering and Tech., Jamshoro, Pakistan.
Infect Dis Model ; 9(2): 601-617, 2024 Jun.
Article in En | MEDLINE | ID: mdl-38558958
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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Infect Dis Model Year: 2024 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Infect Dis Model Year: 2024 Document type: Article Affiliation country: United States
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