Hotspot analysis of COVID-19 infection using mobile-phone location data.
Hotspot analysis of COVID-19 infection using mobile-phone location data.
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DOI：
10.1007/s10015-022-00830-2
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发表时间：
2023
影响因子：
0.9
通讯作者：
中科院分区：
文献类型：
--
作者：
为抑制COVID-19疫情，户外活动须受到限制。为监控社会风险并通过可持续限制控制疫情，我们关注外出人数与有效再生产人数之间的关系。这项研究的新奇在于，我们考虑了流入人口，而不是停留人口，因为数据代表拥堵。这使我们能够将我们的分析方法应用于所有网格，因为流入人口可能总是代表特定区域的拥挤程度，其中也包括住宅区。在本研究中，我们报告了大流行期间东京市中心和商业区的流入人口之间的相关性，考虑了有效繁殖数量和相关的时间延迟。此外，我们验证了我们的方法和流入人口的数据，通过确认的结果与以前的研究和流行病学研究的一致性。因此，确认了当人们前往市中心和商业区时，COVID-19感染传播的社会风险较高，而当人们仅前往住宅区时，风险较低。
Restrictions on outdoor activities are required to suppress the COVID-19 pandemic. To monitor social risks and control the pandemic through sustainable restrictions, we focus on the relationship between the number of people going out and the effective reproduction number. The novelty of this study is that we have considered influx population instead of staying-population, as the data represent congestion. This enables us to apply our analysis method to all meshes because the influx population may always represent the congestion of specific areas, which include the residential areas as well. In this study, we report the correlation between the influx population in downtown areas and business districts in Tokyo during the pandemic considering the effective reproduction number and associated time delay. Moreover, we validate our method and the influx population data by confirming the consistency of the results with those of the previous research and epidemiological studies. As a result, it is confirmed that the social risk with regard to the spread of COVID-19 infection when people travel to downtown areas and business districts is high, and the risk when people visit only residential areas is low.
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