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意大利新冠病毒传播的地理分布及其对解除限制措施的影响。

The geography of COVID-19 spread in Italy and implications for the relaxation of confinement measures.

作者信息

Bertuzzo Enrico, Mari Lorenzo, Pasetto Damiano, Miccoli Stefano, Casagrandi Renato, Gatto Marino, Rinaldo Andrea

机构信息

Dipartimento di Scienze Ambientali, Informatica e Statistica, Universitá Ca' Foscari Venezia, 30172, Venezia-Mestre, IT, Italy.

Science of Complexity Research Unit, European Centre for Living Technology, 30123, Venice, IT, Italy.

出版信息

Nat Commun. 2020 Aug 26;11(1):4264. doi: 10.1038/s41467-020-18050-2.

Abstract

The pressing need to restart socioeconomic activities locked-down to control the spread of SARS-CoV-2 in Italy must be coupled with effective methodologies to selectively relax containment measures. Here we employ a spatially explicit model, properly attentive to the role of inapparent infections, capable of: estimating the expected unfolding of the outbreak under continuous lockdown (baseline trajectory); assessing deviations from the baseline, should lockdown relaxations result in increased disease transmission; calculating the isolation effort required to prevent a resurgence of the outbreak. A 40% increase in effective transmission would yield a rebound of infections. A control effort capable of isolating daily  ~5.5% of the exposed and highly infectious individuals proves necessary to maintain the epidemic curve onto the decreasing baseline trajectory. We finally provide an ex-post assessment based on the epidemiological data that became available after the initial analysis and estimate the actual disease transmission that occurred after weakening the lockdown.

摘要

在意大利,重启因防控新冠病毒传播而封锁的社会经济活动的迫切需求,必须与有选择性放松防控措施的有效方法相结合。在此,我们采用一个空间明确的模型,充分考虑隐性感染的作用,该模型能够:估计在持续封锁下疫情的预期发展(基线轨迹);评估若放松封锁导致疾病传播增加时与基线的偏差;计算防止疫情反弹所需的隔离力度。有效传播率增加40%将导致感染反弹。事实证明,每天隔离约5.5%的暴露且具有高传染性的个体的防控力度,对于维持疫情曲线沿下降的基线轨迹发展是必要的。我们最后根据初始分析后可获取的流行病学数据进行事后评估,并估计放松封锁后实际发生的疾病传播情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebe9/7449964/cf331cfa1704/41467_2020_18050_Fig1_HTML.jpg

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