2021年卡塔尔COVID-19大流行的真实动态:SIR模型的模拟、预测和验证

I. Nesteruk
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引用次数: 4

摘要

利用广义sir模型和约翰霍普金斯大学报告的2021年4月25日至5月8日期间的累计病例数,对卡塔尔第三波COVID-19大流行进行了模拟。将结果与之前对第二波疫情进行的SIR模拟和2021年上半年实验室确诊病例数进行了比较。尽管从2020年12月开始进行了大规模疫苗接种,但卡塔尔在2021年3月至4月经历了新一轮疫情。截至2021年6月底,尽管完全接种疫苗的人数已接近人口的一半,但疫苗接种的积极影响仍不明朗。其他模拟表明,许多COVID-19病例未被发现。卡塔尔的实际累计病例数可超过实验室确诊病例的5倍以上。这一事实大大增加了遇到感染者的可能性和流行病的持续时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The real COVID-19 pandemic dynamics in Qatar in 2021: simulations, predictions and verifications of the SIR model
The third COVID-19 pandemic wave in Qatar was simulated with the use of the generalized SIR-model and the accumulated number of cases reported by Johns Hopkins University for the period: April 25 - May 8, 2021. The results were compared with the SIR simulations performed before for the second wave and the number of laboratory-confirmed cases in the first half of 2021. Despite the mass vaccination that began in December 2020, Qatar experienced a new epidemic wave in March-April 2021. As of the end of June 2021, the positive effects of vaccination were still unclear, although the number of fully vaccinated was already approaching half the population. Additional simulations have demonstrated that many COVID-19 cases are not detected. The real accumulated number of cases in Qatar can exceed the laboratory-confirmed one more than 5 times. This fact drastically increases the probability of meeting an infectious person and the epidemic duration.
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