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

作者：Cheng, Ziqiang; Lai, Yinglei; Jin, Kui; Zhang, Mengping; Wang, Jin^*

来源：Journal of Theoretical Biology, 2023, 574: 111611.

DOI：10.1016/j.jtbi.2023.111611

• COVID-19
• SARS-CoV-2 variants
• Mathematical modeling

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.

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