Suppr超能文献

意大利的新冠疫情:演变、预测和政府措施的影响。

Covid-19 epidemic in Italy: evolution, projections and impact of government measures.

机构信息

1Istituto per le Applicazioni del Calcolo "Mauro Picone", Consiglio Nazionale delle Ricerche, Via dei Taurini 19, 00185 Rome, Italy.

2Department of Mathematics Guido Castelnuovo, Sapienza University, Piazzale Aldo Moro 5, 00185 Rome, Italy.

出版信息

Eur J Epidemiol. 2020 Apr;35(4):341-345. doi: 10.1007/s10654-020-00631-6. Epub 2020 Apr 18.

Abstract

We report on the Covid-19 epidemic in Italy in relation to the extraordinary measures implemented by the Italian Government between the 24th of February and the 12th of March. We analysed the Covid-19 cumulative incidence (CI) using data from the 1st to the 31st of March. We estimated that in Lombardy, the worst hit region in Italy, the observed Covid-19 CI diverged towards values lower than the ones expected in the absence of government measures approximately 7-10 days after the measures implementation. The Covid-19 CI growth rate peaked in Lombardy the 22nd of March and in other regions between the 24th and the 27th of March. The CI growth rate peaked in 87 out of 107 Italian provinces on average 13.6 days after the measures implementation. We projected that the CI growth rate in Lombardy should substantially slow by mid-May 2020. Other regions should follow a similar pattern. Our projections assume that the government measures will remain in place during this period. The evolution of the epidemic in different Italian regions suggests that the earlier the measures were taken in relation to the stage of the epidemic, the lower the total cumulative incidence achieved during this epidemic wave. Our analyses suggest that the government measures slowed and eventually reduced the Covid-19 CI growth where the epidemic had already reached high levels by mid-March (Lombardy, Emilia-Romagna and Veneto) and prevented the rise of the epidemic in regions of central and southern Italy where the epidemic was at an earlier stage in mid-March to reach the high levels already present in northern regions. As several governments indicate that their aim is to "push down" the epidemic curve, the evolution of the epidemic in Italy supports the WHO recommendation that strict containment measures should be introduced as early as possible in the epidemic curve.

摘要

我们报告了意大利在 2 月 24 日至 3 月 12 日期间实施的非凡措施与新冠疫情的关系。我们分析了 3 月 1 日至 31 日的数据,以了解新冠疫情累计发病率(CI)。我们估计,在意大利受灾最严重的伦巴第地区,在没有政府措施的情况下,新冠疫情累计发病率预计值大约在实施措施后的 7-10 天后出现偏离,偏离程度与政府措施有关。伦巴第地区的新冠疫情累计发病率增长率于 3 月 22 日达到峰值,其他地区则在 3 月 24 日至 27 日之间达到峰值。在 107 个意大利省份中,有 87 个省的新冠疫情累计发病率增长率在实施措施后平均 13.6 天达到峰值。我们预计,到 2020 年 5 月中旬,伦巴第地区的新冠疫情累计发病率增长率将大幅下降。其他地区也将遵循类似模式。我们的预测假设在此期间政府措施将继续实施。意大利不同地区的疫情演变表明,与疫情阶段相比,政府措施越早实施,在本次疫情浪潮中实现的累计总发病率就越低。我们的分析表明,政府措施减缓并最终降低了疫情已经在 3 月中旬达到高流行水平的地区(伦巴第、艾米利亚-罗马涅和威尼托)的新冠疫情累计发病率增长率,并阻止了疫情在 3 月中旬处于早期阶段的意大利中部和南部地区的疫情上升,以达到北部地区已经存在的高流行水平。由于有几个政府表示,他们的目标是“压低”疫情曲线,意大利的疫情演变支持世界卫生组织的建议,即应尽早在疫情曲线中引入严格的遏制措施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/adc8/7192873/46a13148447e/10654_2020_631_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验