印度次大陆出现全国范围的封锁和COVID-19造成的死亡

IF 3 3区 医学 Q2 INFECTIOUS DISEASES
Amit N. Sawant, Mats J. Stensrud
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引用次数: 0

摘要

在2019冠状病毒病大流行期间,西方发达国家广泛研究了全国性封锁对健康结果的影响。然而,封锁对新兴国家和发展中国家的影响在很大程度上是未知的。我们使用来自印度和孟加拉国的数据来研究2021年4月孟加拉国全国范围内限制公共行动对健康结果的影响,特别是COVID-19发病率和死亡率。在封锁前几周,印度和孟加拉国的COVID-19三角洲波的发展几乎相同。我们在结构因果模型中利用了两国干预前后的纵向数据,结果表明,如果限制较少,孟加拉国报告的COVID-19死亡人数将比2021年4月高117% (95% PI: 72%-170%)。此外,我们使用谷歌的人口流动数据来研究这两个国家的行为变化,支持干预措施对孟加拉国人口流动趋势产生重大影响的假设,这反过来又减少了COVID-19死亡人数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A nationwide lockdown and deaths due to COVID-19 in the Indian subcontinent

A nationwide lockdown and deaths due to COVID-19 in the Indian subcontinent

During the COVID-19 pandemic, the effects of nationwide lockdowns on health outcomes have been widely studied in Western, developed countries. However, the effects of lockdowns in emerging and developing countries are largely unknown. We used data from India and Bangladesh to study the effect of nationwide restrictions on public movement in Bangladesh in April 2021 on health outcomes, specifically COVID-19 incidence and mortality. India and Bangladesh had nearly identical development of the COVID-19 Delta wave the weeks before the lockdown. We leveraged longitudinal data from the pre- and post-intervention period in both countries in a structural causal model, suggesting that the reported deaths in Bangladesh due to COVID-19 would have been 117% higher (95% PI: 72%–170%) in April 2021 had there been fewer restrictions. Further, we used population mobility data from Google to study behavioural changes in the two countries, supporting the hypothesis that the intervention had substantial effects on the mobility trends of the Bangladeshi population, which in turn reduced the number of COVID-19 deaths.

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来源期刊
Epidemics
Epidemics INFECTIOUS DISEASES-
CiteScore
6.00
自引率
7.90%
发文量
92
审稿时长
140 days
期刊介绍: Epidemics publishes papers on infectious disease dynamics in the broadest sense. Its scope covers both within-host dynamics of infectious agents and dynamics at the population level, particularly the interaction between the two. Areas of emphasis include: spread, transmission, persistence, implications and population dynamics of infectious diseases; population and public health as well as policy aspects of control and prevention; dynamics at the individual level; interaction with the environment, ecology and evolution of infectious diseases, as well as population genetics of infectious agents.
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