Covid-19: were curfews in France associated with hospitalisations?

Q3 Mathematics Epidemiologic Methods Pub Date : 2021-02-01 DOI:10.1515/em-2021-0011
É. Le Bourg
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Abstract

Abstract Objectives A curfew was introduced in France in October 2020 to reduce the spread of Covid-19. This was done for two weeks in 16 departments, or for one week in 38 others, 42 departments not being subjected to the curfew. This article compares the number of new daily hospital admissions in these departments. Methods The ratio of the number of new hospitalisations during these two weeks and in the previous two weeks was computed in the three categories of departments. Results The increase in new hospitalisations was lower in departments under curfew for two weeks than in all other departments, and this result does not seem to be linked to characteristics of the departments before curfew. Conclusions This result shows that the two-week curfew is linked to a lower increase of hospitalisations, but not that the curfew by itself is the cause of this result, as other factors may have played a role.
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2019冠状病毒病:法国的宵禁与住院有关吗?
2020年10月,法国实施宵禁,以减少Covid-19的传播。这在16个省实行了两周,在另外38个省实行了一周,42个省不实行宵禁。本文比较了这些科室每日新增住院人数。方法统计3类科室这2周新增住院人数与前2周新增住院人数之比。结果实施宵禁两周的科室新增住院人数增幅低于其他科室,这一结果似乎与宵禁前科室的特点无关。这一结果表明,为期两周的宵禁与住院率的较低增长有关,但并不是宵禁本身是导致这一结果的原因,因为其他因素可能也起了作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Epidemiologic Methods
Epidemiologic Methods Mathematics-Applied Mathematics
CiteScore
2.10
自引率
0.00%
发文量
7
期刊介绍: Epidemiologic Methods (EM) seeks contributions comparable to those of the leading epidemiologic journals, but also invites papers that may be more technical or of greater length than what has traditionally been allowed by journals in epidemiology. Applications and examples with real data to illustrate methodology are strongly encouraged but not required. Topics. genetic epidemiology, infectious disease, pharmaco-epidemiology, ecologic studies, environmental exposures, screening, surveillance, social networks, comparative effectiveness, statistical modeling, causal inference, measurement error, study design, meta-analysis
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