Istituto di Ingegneria del Mare, Consiglio Nazionale delle Ricerche, Rome, Italy.
Emeritus Professor, Department of Molecular Medicine, University of Padua, Italy; Regione Veneto, Azienda Zero, Italy.
Int J Infect Dis. 2021 Jan;102:363-368. doi: 10.1016/j.ijid.2020.10.070. Epub 2020 Oct 30.
The high contagiousness and rapid spreading of the coronavirus disease 2019 (COVID-19) has caused a high number of critical to severe life-threatening cases, which required urgent hospital admission and treatment in intensive care units (ICUs). The pandemic has been a tough test for all European national health systems and their capability to provide an adequate reaction.
The present work aims to reveal correlations between parameters such as COVID-19 incidence, ICU bed occupancy, ICU excess area, and mortality in Italian regions. Public data for the period of March 1 to July 16, 2020, were analyzed using several mathematical and statistical methods.
The analysis defined two separate groups of Italian regions. The examined variables considered within these groups were interlinked and dependent on each other. The regions of the two groups shared the same kind of fitted model (linear) explaining mortality as a function of cumulative incidence, but with higher value of the constant in one group, so characterized by a high intrinsic "strength" of the pandemic, certainly playing a major role in the generation of a large number of severe and life-threatening cases. These results are confirmed at European level. Other factors may condition mortality and be linked to incidence, such as ICU saturation and excess.
These quantitative results could be a very helpful tool to set up preventive measures and optimize biomedical interventions before the pandemic, in its recurrent waves, could overcome the reaction capacity of any public health system.
2019 年冠状病毒病(COVID-19)具有高度传染性和快速传播性,导致大量危及生命的重症病例,这些病例需要紧急住院并在重症监护病房(ICU)接受治疗。这场大流行对所有欧洲国家的卫生系统及其提供适当反应的能力都是一次严峻的考验。
本研究旨在揭示意大利各地区 COVID-19 发病率、ICU 床位占有率、ICU 超额面积和死亡率之间的相关性。使用多种数学和统计方法对 2020 年 3 月 1 日至 7 月 16 日期间的公共数据进行了分析。
该分析将意大利地区分为两组。在这两组中考虑的被检查变量相互关联且相互依存。两组的地区共享相同类型的拟合模型(线性),将死亡率解释为累积发病率的函数,但在一组中常数的值较高,因此具有较高的内在“强度”,这肯定在产生大量严重和危及生命的病例中起主要作用。这些结果在欧洲层面得到了证实。其他因素可能会影响死亡率,并与发病率相关,例如 ICU 饱和度和超额。
这些定量结果可以成为一种非常有用的工具,以便在大流行或其复潮可能超过任何公共卫生系统的反应能力之前,预先制定预防措施并优化生物医学干预措施。