Modelling the COVID-19 pandemic: Focusing on the case of Greece

IF 3 3区 医学 Q2 INFECTIOUS DISEASES
Ioannis G. Violaris , Theodoros Lampros , Konstantinos Kalafatakis , Georgios Ntritsos , Konstantinos Kostikas , Nikolaos Giannakeas , Markos Tsipouras , Evripidis Glavas , Dimitrios Tsalikakis , Alexandros Tzallas
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Abstract

The SARS-CoV-2 infection (COVID-19) pandemic created an unprecedented chain of events at a global scale, with European counties initially following individual pathways on the confrontation of the global healthcare crisis, before organizing coordinated public vaccination campaigns, when proper vaccines became available. In the meantime, the viral infection outbreaks were determined by the inability of the immune system to retain a long-lasting protection as well as the appearance of SARS-CoV-2 variants with differential transmissibility and virulence. How do these different parameters regulate the domestic impact of the viral epidemic outbreak? We developed two versions of a mathematical model, an original and a revised one, able to capture multiple factors affecting the epidemic dynamics. We tested the original one on five European countries with different characteristics, and the revised one in one of them, Greece. For the development of the model, we used a modified version of the classical SEIR model, introducing various parameters related to the estimated epidemiology of the pathogen, governmental and societal responses, and the concept of quarantine. We estimated the temporal trajectories of the identified and overall active cases for Cyprus, Germany, Greece, Italy and Sweden, for the first 250 days. Finally, using the revised model, we estimated the temporal trajectories of the identified and overall active cases for Greece, for the duration of the 1230 days (until June 2023). As shown by the model, small initial numbers of exposed individuals are enough to threaten a large percentage of the population. This created an important political dilemma in most countries. Force the virus to extinction with extremely long and restrictive measures or merely delay its spread and aim for herd immunity. Most countries chose the former, which enabled the healthcare systems to absorb the societal pressure, caused by the increased numbers of patients, requiring hospitalization and intensive care.

新冠肺炎大流行建模:以希腊为例。
严重急性呼吸系统综合征冠状病毒2型感染(新冠肺炎)大流行在全球范围内造成了前所未有的一连串事件,欧洲各国在应对全球医疗危机时最初遵循单独的途径,然后在获得适当疫苗后组织协调的公共疫苗接种运动。与此同时,病毒感染的爆发是由免疫系统无法保持长期保护以及出现具有不同传播性和毒力的严重急性呼吸系统综合征冠状病毒2型变种决定的。这些不同的参数是如何调节病毒疫情爆发对国内的影响的?我们开发了两个版本的数学模型,一个是原始模型,另一个是修订模型,能够捕捉影响疫情动态的多个因素。我们在五个具有不同特征的欧洲国家测试了原始版本,在其中一个国家希腊测试了修订版本。为了开发该模型,我们使用了经典SEIR模型的修改版本,引入了与病原体的估计流行病学、政府和社会反应以及隔离概念相关的各种参数。我们估计了塞浦路斯、德国、希腊、意大利和瑞典前250天已确认和总体活跃病例的时间轨迹。最后,使用修订后的模型,我们估计了希腊1230天(至2023年6月)内已确定和总体活跃病例的时间轨迹。如该模型所示,最初接触的少量个体足以威胁到很大一部分人口。这在大多数国家造成了一个重要的政治困境。通过极长时间的限制性措施迫使病毒灭绝,或者仅仅推迟其传播并以群体免疫为目标。大多数国家选择前者,这使医疗系统能够承受由于患者数量增加而造成的社会压力,需要住院治疗和重症监护。
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来源期刊
Epidemics
Epidemics INFECTIOUS DISEASES-
CiteScore
6.00
自引率
7.90%
发文量
92
审稿时长
140 days
期刊介绍: Epidemics publishes papers on infectious disease dynamics in the broadest sense. Its scope covers both within-host dynamics of infectious agents and dynamics at the population level, particularly the interaction between the two. Areas of emphasis include: spread, transmission, persistence, implications and population dynamics of infectious diseases; population and public health as well as policy aspects of control and prevention; dynamics at the individual level; interaction with the environment, ecology and evolution of infectious diseases, as well as population genetics of infectious agents.
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