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Increased infection severity in downstream cities in infectious disease transmission and tourists surveillance analysis

机译:在传染病传播和游客监测分析中增加了下游城市的感染严重程度

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Infectious disease severely threatens human life. Human mobility and travel patterns influence the spread of infection between cities and countries. We find that the infection severity in downstream cities during outbreaks is related to transmission rate, recovery rate, travel rate, travel duration and the average number of person-to-person contacts per day. The peak value of the infected population in downstream cities is slightly higher than that in source cities. However, as the number of cities increases, the severity increase percentage during outbreaks between end and source cities is constant. The surveillance of important nodes connecting cities, such as airports and train stations, can help delay the occurrence time of infection outbreaks. The city-entry surveillance of hub cities is not only useful to these cities, but also to cities that are strongly connected (i.e., have a high travel rate) to them. The city-exit surveillance of hub cities contributes to other downstream cities, but only slightly to itself. Surveillance conducted in hub cities is highly efficient in controlling infection transmission. Only strengthening the individual immunity of frequent travellers is not efficient for infection control. However, reducing the number of person-to-person contacts per day effectively limits the spread of infection. (C) 2019 Elsevier Ltd. All rights reserved.
机译:传染病严重威胁着人的生命。人类流动性和旅行模式会影响城市和国家之间感染的传播。我们发现爆发期间下游城市的感染严重程度与传输速率,恢复率,旅行率,旅行期和每天的平均人物联系人的平均数有关。下游城市受感染人口的峰值略高于源城市。然而,随着城市数量的增加,爆发期间爆发期间的严重程度增加是恒定的。连接城市的重要节点,如机场和火车站,可以帮助延缓感染爆发的发生时间。枢纽城市的城市入学监测不仅对这些城市有用,而且对其强烈连通的城市(即,旅行费率高)。枢纽城市的城市出口监测有助于其他下游城市,但仅略微略微略微。在枢纽城市中进行的监视在控制感染传输方面具有高效。只加强频繁旅行者的个体免疫力对感染控制并不有效。然而,减少每天的人口与人数的数量有效地限制了感染的传播。 (c)2019年elestvier有限公司保留所有权利。

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