Section of Hygiene, University Department of Life Sciences and Public Health, Università Cattolica del Sacro Cuore, 00168, Roma, Italy.
Data Science & Advanced Analytics, IQVIA, 20124, Milan, Italy.
BMC Public Health. 2022 Sep 17;22(1):1765. doi: 10.1186/s12889-022-14088-7.
European countries are still searching to eliminate or contain the Covid-19 pandemic. A variety of approaches have achieved different levels of success in limiting the spread of the disease early and preventing avoidable deaths. Governmental policy responses may explain these differences and this study aims to describe evidence about the effectiveness of containment measures throughout the course of the pandemic in five European countries (France, Germany, Italy, Spain and the UK).
The research approach adopted consisted of three steps: 1) Build a Containment Index (C.I.) that considers nine parameters to make an assessment on the strength of measures; 2) Develop dynamic epidemiological models for forecasting purposes; 3) Predict case numbers by assuming containment measures remain constant for a period of 30 days.
Our analysis revealed that in the five European countries we compared, the use of different approaches definitively affected the effectiveness of containment measures for the Covid-19 pandemic.
The evidence found in our research can be useful to inform policy makers' decisions when deciding to introduce or relax containment measures and their timing, both during the current pandemic or in addressing possible future health crises.
欧洲国家仍在努力消除或控制新冠疫情。各种方法在早期限制疾病传播和预防可避免的死亡方面取得了不同程度的成功。政府的政策反应可能解释了这些差异,本研究旨在描述在整个大流行过程中,五个欧洲国家(法国、德国、意大利、西班牙和英国)采取的遏制措施的有效性证据。
所采用的研究方法包括三个步骤:1)构建一个遏制指数(C.I.),考虑九个参数来评估措施的力度;2)为预测目的开发动态流行病学模型;3)假设遏制措施在 30 天内保持不变,预测病例数量。
我们的分析表明,在我们比较的五个欧洲国家中,使用不同的方法确实会影响新冠疫情遏制措施的有效性。
我们的研究结果可以为决策者在决定引入或放松遏制措施及其时间时提供有用的信息,无论是在当前大流行期间还是在应对未来可能的卫生危机期间。