新冠肺炎期间的疫苗接种和非药物干预:对美国健康和非健康结果的影响

IF 3.4 3区 医学 Q1 HEALTH POLICY & SERVICES Health Policy and Technology Pub Date : 2024-03-01 DOI:10.1016/j.hlpt.2023.100792
Asmita P. Khatiwada , Mesfin G. Genie , Aregawi G. Gebremariam , Tim C. Lai , Nabin Poudel , Surachat Ngorsuraches
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引用次数: 0

摘要

目标人们对 COVID-19 疫苗接种及其与非药物干预措施(NPIs)在降低感染率、死亡率、COVID-19 繁殖率和失业率方面的相互作用的相对效果知之甚少。本研究探讨了接种疫苗和非药物干预措施对美国 COVID-19 感染、死亡、繁殖率和失业率的相对效果。方法美国全国范围内的回顾性数据来自牛津 COVID-19 政府响应追踪系统(OxCGRT 数据集)。失业率数据来自美国劳工统计局。对政策变量和流行病学结果进行了时间趋势分析。结果根据时间趋势分析,接种疫苗的人数从 2021 年 3 月开始增加,而接种严格指数从 2021 年 1 月初开始稳步下降。在此期间,COVID-19 新发病例和死亡人数均有所下降。然而,尽管疫苗接种覆盖率提高了,COVID-19 新发病例和死亡人数仍在 2021 年底和 2022 年初达到高峰。我们发现,治疗效果(疫苗接种)与严格措施之间的交互作用与 COVID-19 病例和死亡总数呈负相关,这意味着可能需要采取一些限制措施来减少疫苗接种活动期间感染率的上升。我们还发现疫苗接种与失业率之间存在负相关关系。结论研究结果表明,仅靠疫苗接种不足以减少病毒传播和死亡人数,在疫苗接种过程中可能需要采取一些非强制性措施。
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Vaccination and non-pharmaceutical interventions during COVID-19: Impact on health and non-health outcomes in the US

Objective

Little is known about the relative effectiveness of COVID-19 vaccination and its interaction with non-pharmaceutical interventions (NPIs) in reducing infections, deaths, COVID-19 reproduction rate, and job losses. This study examined the relative effectiveness of vaccination and NPIs on COVID-19 infection, deaths, reproduction rate, and unemployment rate in the US.

Methods

Retrospective US data at the national level were obtained from the Oxford COVID-19 Government Response Tracker (OxCGRT dataset). Unemployment rate data were obtained from the US Bureau of Labor Statistics. Time-trend analyses of the policy variables and epidemiological outcomes were performed. A regression discontinuity in time was used to investigate the effects of policy variables on health outcomes and unemployment rate.

Results

Based on time-trend analyses, the number of people vaccinated increased starting in March 2021, while the stringency index had steadily declined since early January 2021. A decrease in new COVID-19 cases and deaths was observed during this period. However, despite higher vaccination coverage, new COVID-19 cases and deaths peaked in late 2021 and early 2022. We found that the interaction between treatment effects (vaccinations) and stringency measures was negatively associated with total COVID-19 cases and deaths, implying that some restrictions might be required to reduce rising infections during vaccination campaigns. We also found a negative association between vaccinations and the unemployment rate.

Conclusion

The study findings suggested that vaccinations alone were insufficient to reduce virus spread and deaths, and that some NPIs might be required during the vaccination campaigns.

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来源期刊
Health Policy and Technology
Health Policy and Technology Medicine-Health Policy
CiteScore
9.20
自引率
3.30%
发文量
78
审稿时长
88 days
期刊介绍: Health Policy and Technology (HPT), is the official journal of the Fellowship of Postgraduate Medicine (FPM), a cross-disciplinary journal, which focuses on past, present and future health policy and the role of technology in clinical and non-clinical national and international health environments. HPT provides a further excellent way for the FPM to continue to make important national and international contributions to development of policy and practice within medicine and related disciplines. The aim of HPT is to publish relevant, timely and accessible articles and commentaries to support policy-makers, health professionals, health technology providers, patient groups and academia interested in health policy and technology. Topics covered by HPT will include: - Health technology, including drug discovery, diagnostics, medicines, devices, therapeutic delivery and eHealth systems - Cross-national comparisons on health policy using evidence-based approaches - National studies on health policy to determine the outcomes of technology-driven initiatives - Cross-border eHealth including health tourism - The digital divide in mobility, access and affordability of healthcare - Health technology assessment (HTA) methods and tools for evaluating the effectiveness of clinical and non-clinical health technologies - Health and eHealth indicators and benchmarks (measure/metrics) for understanding the adoption and diffusion of health technologies - Health and eHealth models and frameworks to support policy-makers and other stakeholders in decision-making - Stakeholder engagement with health technologies (clinical and patient/citizen buy-in) - Regulation and health economics
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