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Non-pharmaceutical interventions in a generalized model of interactive dynamics between COVID-19 and the economy
We use a simple general model of interactive dynamics between the COVID-19 pandemic and the economy to examine the impact of various non-pharmaceutical interventions in the form of restrictions on socio-economic activities like lockdowns, travel restrictions, etc. We mathematically demonstrate that...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8294325/ https://www.ncbi.nlm.nih.gov/pubmed/34305316 http://dx.doi.org/10.1007/s11071-021-06712-9 |
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author | Datta, Soumya Saratchand, C. |
author_facet | Datta, Soumya Saratchand, C. |
author_sort | Datta, Soumya |
collection | PubMed |
description | We use a simple general model of interactive dynamics between the COVID-19 pandemic and the economy to examine the impact of various non-pharmaceutical interventions in the form of restrictions on socio-economic activities like lockdowns, travel restrictions, etc. We mathematically demonstrate that these restrictions might be useful in preventing repeated waves of infection recurrence in the pandemic. These results are general and not dependent on choice of specific functional forms or parameter configurations. We set out briefly the implications of these results for public health interventions. |
format | Online Article Text |
id | pubmed-8294325 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-82943252021-07-21 Non-pharmaceutical interventions in a generalized model of interactive dynamics between COVID-19 and the economy Datta, Soumya Saratchand, C. Nonlinear Dyn Original Paper We use a simple general model of interactive dynamics between the COVID-19 pandemic and the economy to examine the impact of various non-pharmaceutical interventions in the form of restrictions on socio-economic activities like lockdowns, travel restrictions, etc. We mathematically demonstrate that these restrictions might be useful in preventing repeated waves of infection recurrence in the pandemic. These results are general and not dependent on choice of specific functional forms or parameter configurations. We set out briefly the implications of these results for public health interventions. Springer Netherlands 2021-07-20 2021 /pmc/articles/PMC8294325/ /pubmed/34305316 http://dx.doi.org/10.1007/s11071-021-06712-9 Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Paper Datta, Soumya Saratchand, C. Non-pharmaceutical interventions in a generalized model of interactive dynamics between COVID-19 and the economy |
title | Non-pharmaceutical interventions in a generalized model of interactive dynamics between COVID-19 and the economy |
title_full | Non-pharmaceutical interventions in a generalized model of interactive dynamics between COVID-19 and the economy |
title_fullStr | Non-pharmaceutical interventions in a generalized model of interactive dynamics between COVID-19 and the economy |
title_full_unstemmed | Non-pharmaceutical interventions in a generalized model of interactive dynamics between COVID-19 and the economy |
title_short | Non-pharmaceutical interventions in a generalized model of interactive dynamics between COVID-19 and the economy |
title_sort | non-pharmaceutical interventions in a generalized model of interactive dynamics between covid-19 and the economy |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8294325/ https://www.ncbi.nlm.nih.gov/pubmed/34305316 http://dx.doi.org/10.1007/s11071-021-06712-9 |
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