Modeling the XBB strain of SARS-CoV-2: Competition between variants and impact of reinfection

被引:2
作者
Cheng, Ziqiang [1 ]
Lai, Yinglei [2 ]
Jin, Kui [3 ]
Zhang, Mengping [2 ]
Wang, Jin [4 ]
机构
[1] Hefei Univ Technol, Sch Math, Hefei 230009, Anhui, Peoples R China
[2] Univ Sci & Technol China, Sch Math Sci, Hefei 230026, Anhui, Peoples R China
[3] Univ Sci & Technol China, Affiliated Hosp USTC 1, Dept Emergency Med, Div Life Sci & Med, Hefei 230001, Anhui, Peoples R China
[4] Univ Tennessee, Dept Math, Chattanooga, TN 37403 USA
基金
中国国家自然科学基金; 美国国家卫生研究院;
关键词
COVID-19; SARS-CoV-2; variants; Mathematical modeling;
D O I
10.1016/j.jtbi.2023.111611
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
XBB, an Omicron subvariant of SARS-CoV-2 that began to circulate in late 2022, has been dominant in the US since early 2023. To quantify the impact of XBB on the progression of COVID-19, we propose a new mathematical model which describes the interplay between XBB and other SARS-CoV-2 variants at the population level and which incorporates the effects of reinfection. We apply the model to COVID-19 data in the US that include surveillance data on the cases and variant proportions from the New York City, the State of New York, and the State of Washington. Our fitting and simulation results show that the transmission rate of XBB is significantly higher than that of other variants and the reinfection from XBB may play an important role in shaping the pandemic/epidemic pattern in the US.
引用
收藏
页数:10
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