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COVID-19 pandemic: Analyzing of different pandemic control strategies using saturation models COVID-19大流行:基于饱和模型的不同大流行控制策略分析
Pub Date : 2021-04-23 DOI: 10.1101/2021.04.22.21255952
S. Bracke, L. Grams
Since December 2019, the world is confronted with the outbreak of the respiratory disease COVID-19. At the beginning of 2020, the COVID-19 epidemic evolved into a pandemic, which continues to this day. Within many countries, several control strategies or combinations of them, like restrictions (e.g. lockdown actions), medical care (e.g. development of vaccine or medicaments) and medical prevention (e.g. hygiene concept), were established with the goal to control the pandemic. Depending on the chosen control strategy, the COVID-19 spreading behavior slowed down or approximately stopped for a defined time range. This phenomenon is called saturation effect and can be described by saturation models: E.g. a fundamental approach is Verhulst (1838). The model parameter allows the interpretation of the spreading speed (growth) and the saturation effect in a sound way. This paper shows results of a research study of the COVID-19 spreading behavior and saturation effects depending on different pandemic control strategies in different countries and time phases based on Johns Hopkins University data base (2020). The study contains the analyzing of saturation effects related to short time periods, e.g. possible caused by lockdown strategies, geographical influences and medical prevention activities. The research study is focusing on reference countries like Germany, Japan, Denmark, Iceland, Ireland and Israel.
2019年12月以来,全球面临2019冠状病毒病(COVID-19)疫情。2020年初,COVID-19疫情演变为大流行,并持续至今。在许多国家,为了控制大流行,制定了若干控制战略或这些战略的组合,如限制(如封锁行动)、医疗保健(如开发疫苗或药物)和医疗预防(如卫生概念)。根据选择的控制策略,COVID-19的传播行为在定义的时间范围内减慢或大致停止。这种现象被称为饱和效应,可以用饱和模型来描述:例如,一个基本的方法是Verhulst(1838)。模型参数允许以合理的方式解释扩散速度(增长)和饱和效应。本文展示了基于约翰霍普金斯大学数据库(2020年)对不同国家和不同时间阶段不同流行病控制策略下COVID-19传播行为和饱和效应的研究结果。该研究包括分析与短期有关的饱和效应,例如可能由封锁战略、地理影响和医疗预防活动引起的饱和效应。这项研究的重点是参考国家,如德国、日本、丹麦、冰岛、爱尔兰和以色列。
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引用次数: 0
COVID-19 pandemic: Analyzing of spreading behavior, the impact of restrictions and prevention measures in Germany and Japan. COVID-19大流行:德国和日本的传播行为、限制和预防措施的影响分析。
Pub Date : 2021-04-23 DOI: 10.1101/2021.04.22.21255953
S. Bracke, A. Puls, M. Inoue
In December 2019, the world was confronted with the outbreak of the respiratory disease COVID-19. The COVID-19 epidemic evolved at the beginning of 2020 into a pandemic, which continues to this day. The incredible speed of the spread and the consequences of the infection had a worldwide impact on societies and health systems. Governments enforced many measures to control the COVID-19 pandemic: Restrictions (e.g. lockdown), medical care (e.g. intensive care) and medical prevention (e.g. hygiene concept). This leads to a different spreading behavior of the COVID-19 pandemic, depending on measures. Furthermore, the spreading behavior is influenced by culture and geographical impacts. The spreading behavior of COVID-19 related to short time intervals can be described by Weibull distribution models, common in reliability engineering, in a sound way. The interpretation of the model parameters allows the assessment of the COVID-19 spreading characteristics. This paper shows results of a research study of the COVID-19 spreading behavior depending on different pandemic time phases within Germany and Japan. Both countries are industrial nations, but have many differences with respect to historical development, culture and geographical conditions. Consequently, the chosen government measures have different impacts on the control of the COVID-19 pandemic. The research study contains the analyses of different pandemic time intervals in Germany and Japan: The breakout phase in spring 2020 and subsequently following waves until winter season 2020/2021.
2019年12月,全球遭遇2019冠状病毒病(COVID-19)疫情。2019冠状病毒病疫情于2020年初演变为大流行,并持续至今。这种感染的传播速度和后果令人难以置信,对世界各地的社会和卫生系统产生了影响。各国政府采取了许多措施来控制COVID-19大流行:限制(例如封锁)、医疗护理(例如重症监护)和医疗预防(例如卫生概念)。这导致COVID-19大流行的传播行为因措施而异。此外,传播行为还受到文化和地理因素的影响。可靠性工程中常用的威布尔分布模型可以很好地描述COVID-19在短时间间隔内的传播行为。通过对模型参数的解释,可以评估COVID-19的传播特征。本文展示了对德国和日本不同大流行时期的COVID-19传播行为的研究结果。两国都是工业国家,但在历史发展、文化和地理条件方面存在许多差异。因此,政府选择的措施对COVID-19大流行的控制有不同的影响。该研究包括对德国和日本不同大流行时间间隔的分析:2020年春季的爆发阶段,随后的几波,直到2020/2021年冬季。
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引用次数: 3
State of Health Estimation for Lithium-Ion Battery by Incremental Capacity Based ARIMA -- SVR Model 基于增量容量ARIMA—SVR模型的锂离子电池健康状态估计
Pub Date : 2021-01-01 DOI: 10.3850/978-981-18-2016-8_282-cd
Akash Basia, Z. Simeu-Abazi, E. Gascard, P. Zwolinski
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引用次数: 0
Statistical Assessment of Safety Levels of Railway Operators 铁路经营人安全水平统计评定
Pub Date : 2020-10-04 DOI: 10.3850/978-981-18-2016-8_008-cd
J. Braband, H. Schabe
Recently the European Union Agency for Railways (ERA) has received a mandate for 'the development of common safety methods for assessing the safety level and the safety performance of railway operators at national and Union level'. Currently, several methods are under development. It is of interest how a possible candidate would behave and what would be the advantages and disadvantages of a particular method. In this paper, we study a version of the procedure. On the one hand side we analyze it based on the theory of mathematical statistics. As a result, we present a statistically efficient method the rate-ratio test based on a quantity that has smaller variance than the quantity handled by the ERA. Then, we support the theoretical results with the help of a simple simulation study in order to estimate failure probabilities of the first and second kinds. We construct such alternative distributions which the decision procedure cannot distinguish. We will show that the use of procedures that are optimal in the sense of mathematical statistics combined with the use of a characteristics that has small spread, here the number of accidents, is advantageous.
最近,欧盟铁路管理局(ERA)收到了一项授权,要求“制定通用的安全方法,以评估国家和欧盟层面的铁路运营商的安全水平和安全性能”。目前,有几种方法正在开发中。我们感兴趣的是一个可能的候选者将如何表现,以及特定方法的优点和缺点是什么。在本文中,我们研究了一个版本程序。一方面运用数理统计理论对其进行分析。因此,我们提出了一种统计上有效的方法,即基于比ERA处理的数量具有更小方差的数量的比率检验。然后,我们通过简单的模拟研究来支持理论结果,以估计第一类和第二类的失效概率。我们构造了决策过程无法区分的可选分布。我们将展示,使用数理统计意义上的最优程序,结合使用具有小分布的特征,这里是事故的数量,是有利的。
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引用次数: 0
Application of the Cox Regression Model for Analysis of Railway Safety Performance Cox回归模型在铁路安全性能分析中的应用
Pub Date : 2020-09-01 DOI: 10.3850/978-981-18-2016-8_009-cd
H. Schabe, J. Braband
The assessment of in-service safety performance is an important task, not only in railways. For example it is important to identify deviations early, in particular possible deterioration of safety performance, so that corrective actions can be applied early. On the other hand the assessment should be fair and objective and rely on sound and proven statistical methods. A popular means for this task is trend analysis. This paper defines a model for trend analysis and compares different approaches, e. g. classical and Bayes approaches, on real data. The examples show that in particular for small sample sizes, e. g. when railway operators shall be assessed, the Bayesian prior may influence the results significantly.
在役安全绩效评价是一项重要的工作,不仅在铁路领域如此。例如,及早发现偏差,特别是安全性能可能恶化的情况,以便及早采取纠正措施是很重要的。另一方面,评估应是公平和客观的,并依靠可靠和可靠的统计方法。执行此任务的常用方法是趋势分析。本文定义了一个趋势分析模型,并在实际数据上比较了不同的方法,如经典方法和贝叶斯方法。这些例子表明,特别是对于小样本量,例如当评估铁路运营商时,贝叶斯先验可能会显著影响结果。
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引用次数: 0
Localization Systems for Safety Applications in Industrial Scenarios 工业场景中安全应用的定位系统
Pub Date : 1900-01-01 DOI: 10.3850/978-981-18-2016-8_261-cd
L. Landi, A. Buffi, M. Marracci, A. Stecconi, Pasqualino Di Leone, Fabio Bernardini, Luciano Didonato
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引用次数: 3
Image Based Wear Behaviour Analyis of Cutting Tools 基于图像的刀具磨损行为分析
Pub Date : 1900-01-01 DOI: 10.3850/978-981-18-2016-8_609-cd
M. Radetzky, Tom Stürwold, S. Bracke
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引用次数: 1
Characterizing Previously Unknown Dependencies in Probabilistic Risk Assessment Models of Nuclear Power Plants 核电厂概率风险评估模型中未知依赖关系的表征
Pub Date : 1900-01-01 DOI: 10.3850/978-981-18-2016-8_624-cd
John David Hanna
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引用次数: 0
A STAMP-Game Model for Accident Analysis of an Oil Spill and Explosion Accident 溢油爆炸事故分析的邮票-博弈模型
Pub Date : 1900-01-01 DOI: 10.3850/978-981-18-2016-8_495-cd
Daiwei Li, Huixing Meng
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引用次数: 0
Analysis of a Condition-Based-Maintenance Policy in Heterogeneous Systems Subject to Periodic Inspections 基于状态的异构系统定期检查维护策略分析
Pub Date : 1900-01-01 DOI: 10.3850/978-981-18-2016-8_325-cd
Lucía Bautista Bárcena, Bautista Bárcena, and Inma, I. Castro
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引用次数: 0
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Proceedings of the 31st European Safety and Reliability Conference (ESREL 2021)
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