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口罩令与风险补偿:孟加拉国 COVID-19 大流行期间的流动性数据分析。

Face mask mandates and risk compensation: an analysis of mobility data during the COVID-19 pandemic in Bangladesh.

机构信息

Institute for Transport Studies & School of Chemical and Process Engineering, University of Leeds, Leeds, UK

Department of Civil Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh.

出版信息

BMJ Glob Health. 2022 Jan;7(1). doi: 10.1136/bmjgh-2021-006803.

Abstract

INTRODUCTION

Concerns have been raised about the potential for risk compensation in the context of mask mandates for mitigating the spread of COVID-19. However, the debate about the presence or absence of risk compensation for universal mandatory mask-wearing rules-especially in the context of COVID-19-is not settled yet.

METHODS

Mobility is used as a proxy for risky behaviour before and after the mask mandates. Two sets of regressions are estimated to decipher (any) risk-compensating effect of mask mandate in Bangladesh. These include: (1) intervention regression analysis of daily activities at six types of locations, using pre-mask-mandate and post-mandate data; and (2) multiple regression analysis of daily new COVID-19 cases on daily mobility (lagged) to establish mobility as a valid proxy.

RESULTS

(1) Statistically, mobility increased at all five non-residential locations, while home stays decreased after the mask mandate was issued; (2) daily mobility had a statistically significant association on daily new cases (with around 10 days of lag). Both significances were calculated at 95% confidence level.

CONCLUSION

Community mobility had increased (and stay at home decreased) after the mandatory mask-wearing rule, and given mobility is associated with increases in new COVID-19 cases, there is evidence of risk compensation effect of the mask mandate-at least partially-in Bangladesh.

摘要

引言

在口罩令缓解 COVID-19 传播的背景下,人们对风险补偿的可能性表示担忧。然而,关于普遍强制戴口罩规则是否存在风险补偿的争论尚未解决——尤其是在 COVID-19 的背景下。

方法

我们使用流动性作为戴口罩令前后风险行为的替代指标。为了解密(任何)口罩令的风险补偿效应,我们进行了两组回归分析。这些分析包括:(1)利用戴口罩令前后的数据,对六种类型地点的日常活动进行干预回归分析;(2)对每日新 COVID-19 病例与每日流动性(滞后)进行多元回归分析,以确定流动性是有效的替代指标。

结果

(1)统计上,所有五个非居住地点的流动性都增加了,而戴口罩令发布后在家的时间减少了;(2)每日流动性与每日新病例有统计学显著关联(滞后约 10 天)。这两个显著性均在 95%置信水平下计算得出。

结论

在强制戴口罩规则实施后,社区流动性增加(在家的时间减少),鉴于流动性与新 COVID-19 病例的增加有关,口罩令存在风险补偿效应的证据至少部分存在于孟加拉国。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e784/8889252/95900435f64a/bmjgh-2021-006803f01.jpg

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