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Advice from a systems-biology model of the corona epidemics
Using standard systems biology methodologies a 14-compartment dynamic model was developed for the Corona virus epidemic. The model predicts that: (i) it will be impossible to limit lockdown intensity such that sufficient herd immunity develops for this epidemic to die down, (ii) the death toll from...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7293297/ https://www.ncbi.nlm.nih.gov/pubmed/32532983 http://dx.doi.org/10.1038/s41540-020-0138-8 |
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author | Westerhoff, Hans V. Kolodkin, Alexey N. |
author_facet | Westerhoff, Hans V. Kolodkin, Alexey N. |
author_sort | Westerhoff, Hans V. |
collection | PubMed |
description | Using standard systems biology methodologies a 14-compartment dynamic model was developed for the Corona virus epidemic. The model predicts that: (i) it will be impossible to limit lockdown intensity such that sufficient herd immunity develops for this epidemic to die down, (ii) the death toll from the SARS-CoV-2 virus decreases very strongly with increasing intensity of the lockdown, but (iii) the duration of the epidemic increases at first with that intensity and then decreases again, such that (iv) it may be best to begin with selecting a lockdown intensity beyond the intensity that leads to the maximum duration, (v) an intermittent lockdown strategy should also work and might be more acceptable socially and economically, (vi) an initially intensive but adaptive lockdown strategy should be most efficient, both in terms of its low number of casualties and shorter duration, (vii) such an adaptive lockdown strategy offers the advantage of being robust to unexpected imports of the virus, e.g. due to international travel, (viii) the eradication strategy may still be superior as it leads to even fewer deaths and a shorter period of economic downturn, but should have the adaptive strategy as backup in case of unexpected infection imports, (ix) earlier detection of infections is the most effective way in which the epidemic can be controlled, whilst waiting for vaccines. |
format | Online Article Text |
id | pubmed-7293297 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-72932972020-06-19 Advice from a systems-biology model of the corona epidemics Westerhoff, Hans V. Kolodkin, Alexey N. NPJ Syst Biol Appl Brief Communication Using standard systems biology methodologies a 14-compartment dynamic model was developed for the Corona virus epidemic. The model predicts that: (i) it will be impossible to limit lockdown intensity such that sufficient herd immunity develops for this epidemic to die down, (ii) the death toll from the SARS-CoV-2 virus decreases very strongly with increasing intensity of the lockdown, but (iii) the duration of the epidemic increases at first with that intensity and then decreases again, such that (iv) it may be best to begin with selecting a lockdown intensity beyond the intensity that leads to the maximum duration, (v) an intermittent lockdown strategy should also work and might be more acceptable socially and economically, (vi) an initially intensive but adaptive lockdown strategy should be most efficient, both in terms of its low number of casualties and shorter duration, (vii) such an adaptive lockdown strategy offers the advantage of being robust to unexpected imports of the virus, e.g. due to international travel, (viii) the eradication strategy may still be superior as it leads to even fewer deaths and a shorter period of economic downturn, but should have the adaptive strategy as backup in case of unexpected infection imports, (ix) earlier detection of infections is the most effective way in which the epidemic can be controlled, whilst waiting for vaccines. Nature Publishing Group UK 2020-06-12 /pmc/articles/PMC7293297/ /pubmed/32532983 http://dx.doi.org/10.1038/s41540-020-0138-8 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Brief Communication Westerhoff, Hans V. Kolodkin, Alexey N. Advice from a systems-biology model of the corona epidemics |
title | Advice from a systems-biology model of the corona epidemics |
title_full | Advice from a systems-biology model of the corona epidemics |
title_fullStr | Advice from a systems-biology model of the corona epidemics |
title_full_unstemmed | Advice from a systems-biology model of the corona epidemics |
title_short | Advice from a systems-biology model of the corona epidemics |
title_sort | advice from a systems-biology model of the corona epidemics |
topic | Brief Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7293297/ https://www.ncbi.nlm.nih.gov/pubmed/32532983 http://dx.doi.org/10.1038/s41540-020-0138-8 |
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