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中国输入性 COVID-19 风险评估:四川省建模研究。

Risk assessment of imported COVID-19 in China: A modelling study in Sichuan Province.

机构信息

School of Cyber Science and Engineering, Sichuan University, Chengdu, China.

International Institute of Spatial Lifecourse Health (ISLE), Wuhan University, Wuhan, China.

出版信息

Transbound Emerg Dis. 2022 Nov;69(6):3433-3448. doi: 10.1111/tbed.14700. Epub 2022 Sep 19.

Abstract

The importation of COVID-19 cases in China is due to the returning of Chinese citizens abroad, where the majority of cases stand. This study aimed to evaluate the risk of importing COVID-19 into the Sichuan Province of China and conduct a short-term risk prediction assessment and analysis. Data on COVID-19 cases in each country and Sichuan were collected, as well as visitors to Sichuan, population, area, and medical resources in each city in Sichuan province. According to different control strategies of entry aviation and quarantine control, we built models of epidemic transmission to estimate the risk for imported COVID-19 cases in 21 cities of Sichuan. Within 140 days of the policy change's implementation, the number of susceptible, infected, and recovered people in all cities followed the same pattern over time: (1) the number of susceptible people declined slowly at first, then accelerated to reach a stable value; (2) the number of infections gradually increased to a peak, then decreased; and (3) the number of recovered patients gradually increased to a stable value. Under the four different scenarios, there were no significant differences between the risk peaks because the social distance did not change. However, the peak time would be delayed due to the implementation of flight control and nucleic acid detection measures. The improvement of foreign epidemics (reduction of attenuation factors) all delayed the arrival of the peak risk value in Chengdu by about 20 days; however, the size of the peak value did not change significantly. The improvement of nucleic acid detection accuracy delayed the arrival of the peak risk value in Chengdu, but the size of the peak value did not change significantly. Therefore, flight control and the improvement of nucleic acid detection accuracy and overseas epidemic situations have positively affected the prevention and control of the epidemic in Sichuan.

摘要

中国境外输入病例的输入是由于境外中国公民回国,其中大多数病例是境外输入病例。本研究旨在评估将 COVID-19 输入中国四川省的风险,并进行短期风险预测评估和分析。收集了每个国家和四川省的 COVID-19 病例数据,以及前往四川省的游客、每个城市的人口、面积和医疗资源数据。根据入境航空和检疫控制的不同控制策略,我们构建了传染病传播模型,以估计四川省 21 个城市输入性 COVID-19 病例的风险。在政策变化实施的 140 天内,所有城市的易感人群、感染人群和康复人群的数量随时间呈现相同的模式:(1)易感人群数量起初缓慢下降,然后加速达到稳定值;(2)感染人数逐渐增加到峰值,然后减少;(3)康复患者人数逐渐增加到稳定值。在四种不同情景下,由于社会距离没有变化,风险峰值没有显著差异。然而,由于实施了飞行控制和核酸检测措施,峰值时间会延迟。国外疫情的改善(衰减因素的减少)都会使成都的峰值风险值大约延迟 20 天到达;然而,峰值大小没有明显变化。核酸检测准确性的提高延迟了成都的峰值风险值到达时间,但峰值大小没有明显变化。因此,飞行控制和提高核酸检测准确性和国外疫情状况对四川省的疫情防控产生了积极影响。

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