Department of Medical and Surgical Sciences and Advanced Technologies "GF Ingrassia", University of Catania, 95123 Catania, Italy.
Department of Mathematics and Computer Science, University of Catania, 95123 Catania, Italy.
Int J Environ Res Public Health. 2020 Jul 9;17(14):4964. doi: 10.3390/ijerph17144964.
Italy was the first country in Europe which imposed control measures of travel restrictions, quarantine and contact precautions to tackle the epidemic spread of the novel coronavirus (SARS-CoV-2) in all its regions. While such efforts are still ongoing, uncertainties regarding SARS-CoV-2 transmissibility and ascertainment of cases make it difficult to evaluate the effectiveness of restrictions. Here, we employed a Susceptible-Exposed-Infectious-Recovered-Dead (SEIRD) model to assess SARS-CoV-2 transmission dynamics, working on the number of reported patients in intensive care unit (ICU) and deaths in Sicily (Italy), from 24 February to 13 April. Overall, we obtained a good fit between estimated and reported data, with a fraction of unreported SARS-CoV-2 cases (18.4%; 95%CI = 0-34.0%) before 10 March lockdown. Interestingly, we estimated that transmission rate in the community was reduced by 32% (95%CI = 23-42%) after the first set of restrictions, and by 80% (95%CI = 70-89%) after those adopted on 23 March. Thus, our estimates delineated the characteristics of SARS-CoV2 epidemic before restrictions taking into account unreported data. Moreover, our findings suggested that transmission rates were reduced after the adoption of control measures. However, we cannot evaluate whether part of this reduction might be attributable to other unmeasured factors, and hence further research and more accurate data are needed to understand the extent to which restrictions contributed to the epidemic control.
意大利是欧洲第一个在其所有地区实施旅行限制、检疫和接触预防措施以控制新型冠状病毒(SARS-CoV-2)传播的国家。虽然这些努力仍在继续,但由于 SARS-CoV-2 的传染性和病例确诊的不确定性,评估限制措施的效果变得困难。在这里,我们采用了易感-暴露-感染-恢复-死亡(SEIRD)模型来评估 SARS-CoV-2 的传播动态,基于西西里岛(意大利)重症监护病房(ICU)报告的患者数量和死亡人数,从 2 月 24 日至 4 月 13 日进行研究。总体而言,我们获得了估计数据和报告数据之间的良好拟合,在 3 月 10 日封锁之前,估计有 18.4%(95%CI=0-34.0%)的 SARS-CoV-2 病例未被报告。有趣的是,我们估计在第一轮限制措施之后,社区传播率降低了 32%(95%CI=23-42%),在 3 月 23 日实施第二套限制措施后降低了 80%(95%CI=70-89%)。因此,我们的估计考虑了未报告的数据,描绘了限制措施实施前 SARS-CoV2 疫情的特征。此外,我们的研究结果表明,在采取控制措施后,传播率有所降低。然而,我们无法评估这种减少的部分原因是否可归因于其他未测量的因素,因此需要进一步研究和更准确的数据来了解限制措施在多大程度上有助于控制疫情。