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A new modelling of the COVID 19 pandemic
А model of coronavirus incidence is proposed. Process of disease development is represented as analogue of first- and second order phase transition in physical systems. The model is very simple in terms of the data necessary for the calculations. To verify the proposed model, only data on the curren...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7305925/ https://www.ncbi.nlm.nih.gov/pubmed/32834598 http://dx.doi.org/10.1016/j.chaos.2020.110039 |
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author | Soukhovolsky, Vladislav Kovalev, Anton Pitt, Anne Kessel, Boris |
author_facet | Soukhovolsky, Vladislav Kovalev, Anton Pitt, Anne Kessel, Boris |
author_sort | Soukhovolsky, Vladislav |
collection | PubMed |
description | А model of coronavirus incidence is proposed. Process of disease development is represented as analogue of first- and second order phase transition in physical systems. The model is very simple in terms of the data necessary for the calculations. To verify the proposed model, only data on the current incidence rate are required. However, the determination coefficient of model R2 is very high and exceeds 0.95 for most countries. The model permits the accurate prediction of the pandemics dynamics at intervals of up to 10 days. The ADL(autoregressive distributed lag)-model was introduced in addition to the phase transition model to describe the development of the disease at the exponential phase.The ADL-model allows describing nonmonotonic changes in relative infection over the time, and providing to governments and health care decision makers the possibility to predict the outcomes of their decisions on public health. |
format | Online Article Text |
id | pubmed-7305925 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73059252020-06-22 A new modelling of the COVID 19 pandemic Soukhovolsky, Vladislav Kovalev, Anton Pitt, Anne Kessel, Boris Chaos Solitons Fractals Article А model of coronavirus incidence is proposed. Process of disease development is represented as analogue of first- and second order phase transition in physical systems. The model is very simple in terms of the data necessary for the calculations. To verify the proposed model, only data on the current incidence rate are required. However, the determination coefficient of model R2 is very high and exceeds 0.95 for most countries. The model permits the accurate prediction of the pandemics dynamics at intervals of up to 10 days. The ADL(autoregressive distributed lag)-model was introduced in addition to the phase transition model to describe the development of the disease at the exponential phase.The ADL-model allows describing nonmonotonic changes in relative infection over the time, and providing to governments and health care decision makers the possibility to predict the outcomes of their decisions on public health. Elsevier Ltd. 2020-10 2020-06-20 /pmc/articles/PMC7305925/ /pubmed/32834598 http://dx.doi.org/10.1016/j.chaos.2020.110039 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Soukhovolsky, Vladislav Kovalev, Anton Pitt, Anne Kessel, Boris A new modelling of the COVID 19 pandemic |
title | A new modelling of the COVID 19 pandemic |
title_full | A new modelling of the COVID 19 pandemic |
title_fullStr | A new modelling of the COVID 19 pandemic |
title_full_unstemmed | A new modelling of the COVID 19 pandemic |
title_short | A new modelling of the COVID 19 pandemic |
title_sort | new modelling of the covid 19 pandemic |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7305925/ https://www.ncbi.nlm.nih.gov/pubmed/32834598 http://dx.doi.org/10.1016/j.chaos.2020.110039 |
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