Department of Mathematics, North University of China, Taiyuan, Shanxi, 030051, China.
Complex Systems Research Center, Shanxi University, Taiyuan, Shanxi, 030006, China.
Bull Math Biol. 2022 Feb 26;84(4):47. doi: 10.1007/s11538-021-00989-y.
In order to understand how Wuhan curbed the COVID-19 outbreak in 2020, we build a network transmission model of 123 dimensions incorporating the impact of quarantine and medical resources as well as household transmission. Using our new model, the final infection size of Wuhan is predicted to be 50,662 (95%CI: 46,234, 55,493), and the epidemic would last until April 25 (95%CI: April 23, April 29), which are consistent with the actual situation. It is shown that quarantining close contacts greatly reduces the final size and shorten the epidemic duration. The opening of Fangcang shelter hospitals reduces the final size by about 17,000. Had the number of hospital beds been sufficient when the lockdown started, the number of deaths would have been reduced by at least 54.26%. We also investigate the distribution of infectious individuals in unquarantined households of different sizes. The high-risk households are those with size from two to four before the peak time, while the households with only one member have the highest risk after the peak time. Our findings provide a reference for the prevention, mitigation and control of COVID-19 in other cities of the world.
为了了解 2020 年武汉是如何控制 COVID-19 疫情的,我们构建了一个包含隔离和医疗资源以及家庭传播影响的 123 维网络传播模型。利用我们的新模型,预测武汉的最终感染规模为 50662(95%CI:46234,55493),疫情将持续到 4 月 25 日(95%CI:4 月 23 日,4 月 29 日),与实际情况相符。结果表明,隔离密切接触者可显著降低最终感染规模并缩短疫情持续时间。方仓庇护医院的开放使最终感染规模减少了约 17000 人。如果在封城开始时医院床位充足,死亡人数至少会减少 54.26%。我们还研究了不同规模未被隔离家庭中感染个体的分布。在高峰期前,有 2 到 4 名成员的家庭为高风险家庭,而在高峰期后,只有一名成员的家庭风险最高。我们的研究结果为世界其他城市的 COVID-19 预防、缓解和控制提供了参考。