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Epidemic as a natural process
Mathematical epidemiology is a well-recognized discipline to model infectious diseases. It also provides guidance for public health officials to limit outbreaks. Nevertheless, epidemics take societies by surprise every now and then, for example, when the Ebola virus epidemic raged seemingly unrestra...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7094378/ https://www.ncbi.nlm.nih.gov/pubmed/29534891 http://dx.doi.org/10.1016/j.mbs.2018.03.012 |
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author | Koivu-Jolma, Mikko Annila, Arto |
author_facet | Koivu-Jolma, Mikko Annila, Arto |
author_sort | Koivu-Jolma, Mikko |
collection | PubMed |
description | Mathematical epidemiology is a well-recognized discipline to model infectious diseases. It also provides guidance for public health officials to limit outbreaks. Nevertheless, epidemics take societies by surprise every now and then, for example, when the Ebola virus epidemic raged seemingly unrestrained in Western Africa. We provide insight to this capricious character of nature by describing the epidemic as a natural process, i.e., a phenomenon governed by thermodynamics. Our account, based on statistical mechanics of open systems, clarifies that it is impossible to predict accurately epidemic courses because everything depends on everything else. Nonetheless, the thermodynamic theory yields a comprehensive and analytical view of the epidemic. The tenet subsumes various processes in a scale-free manner from the molecular to the societal levels. The holistic view accentuates overarching procedures in arresting and eradicating epidemics. |
format | Online Article Text |
id | pubmed-7094378 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-70943782020-03-25 Epidemic as a natural process Koivu-Jolma, Mikko Annila, Arto Math Biosci Article Mathematical epidemiology is a well-recognized discipline to model infectious diseases. It also provides guidance for public health officials to limit outbreaks. Nevertheless, epidemics take societies by surprise every now and then, for example, when the Ebola virus epidemic raged seemingly unrestrained in Western Africa. We provide insight to this capricious character of nature by describing the epidemic as a natural process, i.e., a phenomenon governed by thermodynamics. Our account, based on statistical mechanics of open systems, clarifies that it is impossible to predict accurately epidemic courses because everything depends on everything else. Nonetheless, the thermodynamic theory yields a comprehensive and analytical view of the epidemic. The tenet subsumes various processes in a scale-free manner from the molecular to the societal levels. The holistic view accentuates overarching procedures in arresting and eradicating epidemics. Elsevier Inc. 2018-05 2018-03-10 /pmc/articles/PMC7094378/ /pubmed/29534891 http://dx.doi.org/10.1016/j.mbs.2018.03.012 Text en © 2018 Elsevier Inc. 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 Koivu-Jolma, Mikko Annila, Arto Epidemic as a natural process |
title | Epidemic as a natural process |
title_full | Epidemic as a natural process |
title_fullStr | Epidemic as a natural process |
title_full_unstemmed | Epidemic as a natural process |
title_short | Epidemic as a natural process |
title_sort | epidemic as a natural process |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7094378/ https://www.ncbi.nlm.nih.gov/pubmed/29534891 http://dx.doi.org/10.1016/j.mbs.2018.03.012 |
work_keys_str_mv | AT koivujolmamikko epidemicasanaturalprocess AT annilaarto epidemicasanaturalprocess |