2026-05-17T05:52:35Zhttps://repisalud.isciii.es/rest/oai/request
oai:repisalud.isciii.es:20.500.12105/229912024-11-29T01:06:56Zcom_20.500.12105_15322com_20.500.12105_2051col_20.500.12105_16967
Repisalud author Contoyiannis, Yiannis author Stavrinides, Stavros G author Hanias, Michael P author Kampitakis, Myron author Papadopoulos, Pericles author Picos, Rodrigo author Potirakis, Stelios M 2024-09-13T09:14:53Z 2024-09-13T09:14:53Z 2020-09 Contoyiannis Y, Stavrinides SG, Hanias MP, Kampitakis M, Papadopoulos P, Picos R, et al. A Universal Physics-Based Model Describing COVID-19 Dynamics in Europe. Int J Environ Res Public Health. 2020 Sep;17(18):6525. 10.3390/ijerph17186525 1660-4601 International Journal of Environmental Research and Public Health http://hdl.handle.net/20.500.13003/9498 32911647 L2005040344 2-s2.0-85090622325 https://hdl.handle.net/20.500.12105/22991 581486000001 The self-organizing mechanism is a universal approach that is widely followed in nature. In this work, a novel self-organizing model describing diffusion over a lattice is introduced. Simulation results for the model's active lattice sites demonstrate an evolution curve that is very close to those describing the evolution of infected European populations by COVID-19. The model was further examined against real data regarding the COVID-19 epidemic for seven European countries (with a total population of 290 million) during the periods in which social distancing measures were imposed, namely Italy and Spain, which had an enormous spread of the disease; the successful case of Greece; and four central European countries: France, Belgium, Germany and the Netherlands. The value of the proposed model lies in its simplicity and in the fact that it is based on a universal natural mechanism, which through the presentation of an equivalent dynamical system apparently documents and provides a better understanding of the dynamical process behind viral epidemic spreads in general-even pandemics, such as in the case of COVID-19-further allowing us to come closer to controlling such situations. Finally, this model allowed the study of dynamical characteristics such as the memory effect, through the autocorrelation function, in the studied epidemiological dynamical systems. eng COVID-19 Model of the infection diffusion Self-organizing systems Lattice simulations Epidemiology Preventive measures A Universal Physics-Based Model Describing COVID-19 Dynamics in Europe research article