论文标题

去本地:在后锁定时代控制Covid-19大流行的关键

Go local: The key to controlling the COVID-19 pandemic in the post lockdown era

论文作者

Bennett, Isabel, Budd, Jobie, Manning, Erin M., Manley, Ed, Zhuang, Mengdie, Cox, Ingemar J., Short, Michael, Johnson, Anne M., Pillay, Deenan, McKendry, Rachel A.

论文摘要

英国政府于2020年5月10日宣布了第一次锁定浪潮,这是在2020年3月23日首次引入了非药物措施以减少Covid-19的传播的两个月后。分析英格兰公共卫生的案例率数据以及汇总和匿名人群流动性数据显示了英国地区各地的可变性数据。需要采取基于地方的缓解方法,使当地的公共卫生和相关的健康和社会护理服务能够快速应对新兴的感染热点。国家级别的数据将掩盖COVID-19感染和流动性的越来越多的异质性,需要向公众进行实时数据展示的新方法。数据源(包括移动设备)比传统的数据源更快地可视化,并且是对及时,有针对性的本地公共卫生干预措施所需的几乎实时分析爆发的更广泛趋势的一部分。实时数据可视化可能会发出不寻常的活动水平的早期警告,这需要当地公共卫生当局进一步调查。

The UK government announced its first wave of lockdown easing on 10 May 2020, two months after the non-pharmaceutical measures to reduce the spread of COVID-19 were first introduced on 23 March 2020. Analysis of reported case rate data from Public Health England and aggregated and anonymised crowd level mobility data shows variability across local authorities in the UK. A locality-based approach to lockdown easing is needed, enabling local public health and associated health and social care services to rapidly respond to emerging hotspots of infection. National level data will hide an increasing heterogeneity of COVID-19 infections and mobility, and new ways of real-time data presentation to the public are required. Data sources (including mobile) allow for faster visualisation than more traditional data sources, and are part of a wider trend towards near real-time analysis of outbreaks needed for timely, targeted local public health interventions. Real time data visualisation may give early warnings of unusual levels of activity which warrant further investigation by local public health authorities.

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