2021年8月至11日,维多利亚州新冠肺炎德尔塔变种疫情期间的公共卫生限制挽救了生命。

IF 3 3区 医学 Q2 INFECTIOUS DISEASES
D. Delport , R. Sacks-Davis , R.G. Abeysuriya , M. Hellard , N. Scott
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引用次数: 0

摘要

背景:在2021年年中之前,澳大利亚应对新冠肺炎的方法是消除社区传播。然而,在2021年8月至11月期间,澳大利亚维多利亚州爆发了德尔塔变异毒株,尽管实施了广泛的封锁和公共卫生措施,但变异毒株仍在继续增长。虽然这些公共卫生限制最终无法阻止社区传播,但与仅自愿缓解风险相比,它们可能对减少传播和不良健康后果产生了重大影响(例如,为了应对不断上升的病例和死亡,一些人可能会避开拥挤的环境、招待、零售、社交场合或室内环境)。这项研究旨在估计2021年8月至11月在维多利亚州实施的公共卫生限制与仅自愿缓解风险相比的影响。方法:根据2021年8月1日至11月30日维多利亚州的流行病学、健康和行为数据,以及在此期间实施的政策,对基于代理的模型进行校准。在同一时期运行了两个与事实相反的场景,(a)没有限制;或(b)仅基于在12月至1月奥密克戎BA.1疫情期间未实施限制措施时测量的行为的自愿风险缓解。结果:在2021年8月至11月期间,基线模型情景导致97000(91000-102000)例诊断,9100(8500-9700)例住院,480(430-530)例死亡。在没有任何限制的情况下,确诊人数为3228000人(320000-3253000人),入院人数为375100人(370200-380900人),死亡人数为16700人(16000-17500人)。自愿风险缓解与奥密克戎BA.1疫情期间观察到的风险缓解相同,共有1507000例(1469000-1549000例)确诊,130300例(124500-136000例)住院,5500例(5000-6100例)死亡。结论:2021年8月至11月在维多利亚州实施的公共卫生限制措施,与仅自愿缓解风险相比,可能避免了超过120000人住院和5000人死亡。在新冠肺炎疫情期间,自愿行为改变可以大幅减少传播,但程度与强制限制不同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Lives saved by public health restrictions over the Victorian COVID-19 Delta variant epidemic wave, Aug-Nov 2021

Lives saved by public health restrictions over the Victorian COVID-19 Delta variant epidemic wave, Aug-Nov 2021

Lives saved by public health restrictions over the Victorian COVID-19 Delta variant epidemic wave, Aug-Nov 2021

Lives saved by public health restrictions over the Victorian COVID-19 Delta variant epidemic wave, Aug-Nov 2021

Background

Prior to mid-2021, Australia’s approach to COVID-19 was to eliminate community transmission. However, between August-November 2021, the state of Victoria, Australia, experienced an outbreak of the Delta variant that continued to grow despite extensive lockdowns and public health measures in place. While these public health restrictions were ultimately unable to stop community transmission, they likely had a major impact reducing transmission and adverse health outcomes relative to voluntary risk-mitigation only (e.g., in response to rising cases and deaths, some people may avoid crowded settings, hospitality, retail, social occasions, or indoor settings). This study aims to estimate the impact of the August-November 2021 enforced public health restrictions in Victoria, compared to voluntary risk-mitigation only.

Methods

An agent-based model was calibrated to Victorian epidemiological, health and behavioural data from 1 August to 30 November 2021, as well as policies that were implemented over that period. Two counter-factual scenarios were run for the same period with (a) no restrictions in place; or (b) voluntary risk-mitigation only, based on behaviour measured over the December-January Omicron BA.1 epidemic wave when restrictions were not in place.

Results

Over August-November 2021, the baseline model scenario resulted in 97,000 (91,000−102,000) diagnoses, 9100 (8500−9700) hospital admissions, and 480 (430−530) deaths. Without any restrictions in place, there were 3,228,000 (3,200,000−3,253,000) diagnoses, 375,100 (370,200−380,900) hospital admissions, and 16,700 (16,000−17,500) deaths. With voluntary risk-mitigation equal to those observed during the Omicron BA.1 epidemic wave, there were 1,507,000 (1,469,000−1,549,000) diagnoses, 130,300 (124,500−136,000) hospital admissions, and 5500 (5000−6100) deaths.

Conclusion

Public health restrictions implemented in Victoria over August-November 2021 are likely to have averted more than 120,000 hospitalizations and 5000 deaths relative to voluntary risk-mitigation only. During a COVID-19 epidemic wave voluntary behaviour change can reduce transmission substantially, but not to the same extent as enforced restrictions.

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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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