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面向希腊 COVID-19 中期政策建议的两阶段随机动态模型:大规模接种疫苗的途径。

A Two-Phase Stochastic Dynamic Model for COVID-19 Mid-Term Policy Recommendations in Greece: A Pathway towards Mass Vaccination.

机构信息

Department of Industrial Management and Technology, University of Piraeus, 18534 Piraeus, Greece.

Department of Informatics, University of Piraeus, 18534 Piraeus, Greece.

出版信息

Int J Environ Res Public Health. 2021 Mar 3;18(5):2497. doi: 10.3390/ijerph18052497.

Abstract

From 7 November 2020, Greece adopted a second nationwide lockdown policy to mitigate the transmission of SARS-CoV-2 (the first took place from 23 March to 4 May 2020), just as the second wave of COVID-19 was advancing, as did other European countries. To secure the full benefits of mass vaccination, which started in early January 2021, it is of utmost importance to complement it with mid-term non-pharmaceutical interventions (NPIs). The objective was to minimize human losses and to limit social and economic costs. In this paper a two-phase stochastic dynamic network compartmental model (a pre-vaccination SEIR until 15 February 2021 and a post-vaccination SVEIR from 15 February 2021 to 30 June 2021) is developed. Three scenarios are assessed for the first phase: (a) A baseline scenario, which lifts the national lockdown and all NPIs in January 2021; (b) a "semi-lockdown" scenario with school opening, partial retail sector operation, universal mask wearing, and social distancing/teleworking in January 2021; and (c) a "rolling lockdown" scenario combining a partial lifting of measures in January 2021 followed by a third nationwide lockdown in February 2021. In the second phase three scenarios with different vaccination rates are assessed. Publicly available data along with some first results of the SHARE COVID-19 survey conducted in Greece are used as input. The results regarding the first phase indicate that the "semi-lockdown" scenario clearly outperforms the third lockdown scenario (5.7% less expected fatalities); the second phase is extremely sensitive on the availability of sufficient vaccine supplies and high vaccination rates.

摘要

从 2020 年 11 月 7 日起,希腊采取了第二次全国封锁政策,以减轻 SARS-CoV-2 的传播(第一次封锁是在 2020 年 3 月 23 日至 5 月 4 日),当时正值 COVID-19 的第二波疫情,其他欧洲国家也采取了同样的措施。为了充分利用从 2021 年 1 月初开始的大规模疫苗接种的好处,将其与中期非药物干预措施(NPIs)结合起来至关重要。其目标是最大限度地减少人员损失,并限制社会和经济成本。本文提出了一个两阶段随机动态网络房室模型(到 2021 年 2 月 15 日的疫苗接种前 SEIR 阶段和 2021 年 2 月 15 日至 6 月 30 日的疫苗接种后 SVEIR 阶段)。对第一阶段评估了三种情景:(a)基线情景,即 2021 年 1 月解除全国封锁和所有 NPIs;(b)半封锁情景,即 2021 年 1 月学校开学、部分零售部门运营、普遍戴口罩和保持社交距离/远程办公;(c)滚动封锁情景,即在 2021 年 1 月部分解除措施,然后在 2021 年 2 月进行第三次全国封锁。在第二阶段,评估了三种不同疫苗接种率的情景。本文使用了公开数据和在希腊进行的 SHARE COVID-19 调查的一些初步结果作为输入。第一阶段的结果表明,半封锁情景明显优于第三次封锁情景(预计死亡人数减少 5.7%);第二阶段对疫苗供应的充足性和高接种率极为敏感。

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