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Combating COVID-19 crisis and predicting the second wave in Europe: an Age-structured modeling
We employ an age-structured susceptible-infected-quarantined-recovered model to simulate the progression of COVID-19 in France, Spain, and Germany. In the absence of a vaccine or conventional treatment, non-pharmaceutical interventions become more valuable, so our model takes into account the effica...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8935103/ https://www.ncbi.nlm.nih.gov/pubmed/35340716 http://dx.doi.org/10.1007/s12190-022-01723-0 |
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author | Upadhyay, Ranjit Kumar Chatterjee, Sourin Roy, Parimita Bhardwaj, Dyuti |
author_facet | Upadhyay, Ranjit Kumar Chatterjee, Sourin Roy, Parimita Bhardwaj, Dyuti |
author_sort | Upadhyay, Ranjit Kumar |
collection | PubMed |
description | We employ an age-structured susceptible-infected-quarantined-recovered model to simulate the progression of COVID-19 in France, Spain, and Germany. In the absence of a vaccine or conventional treatment, non-pharmaceutical interventions become more valuable, so our model takes into account the efficacy of official social distancing and lockdown measures. Using data from February to July 2020, we make useful predictions for the upcoming months, and further simulate the effect of lifting the lockdown at a later stage. A control model is also proposed and conditions for optimality are also obtained using optimal control theory. Motivated by the recent surge in cases in France and Spain, we also examine the possibility of a second wave of the pandemic. We conclude that further measures need to be taken in these two countries, while Germany is on its way to mitigating the disease. |
format | Online Article Text |
id | pubmed-8935103 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-89351032022-03-21 Combating COVID-19 crisis and predicting the second wave in Europe: an Age-structured modeling Upadhyay, Ranjit Kumar Chatterjee, Sourin Roy, Parimita Bhardwaj, Dyuti J Appl Math Comput Original Research We employ an age-structured susceptible-infected-quarantined-recovered model to simulate the progression of COVID-19 in France, Spain, and Germany. In the absence of a vaccine or conventional treatment, non-pharmaceutical interventions become more valuable, so our model takes into account the efficacy of official social distancing and lockdown measures. Using data from February to July 2020, we make useful predictions for the upcoming months, and further simulate the effect of lifting the lockdown at a later stage. A control model is also proposed and conditions for optimality are also obtained using optimal control theory. Motivated by the recent surge in cases in France and Spain, we also examine the possibility of a second wave of the pandemic. We conclude that further measures need to be taken in these two countries, while Germany is on its way to mitigating the disease. Springer Berlin Heidelberg 2022-03-21 2022 /pmc/articles/PMC8935103/ /pubmed/35340716 http://dx.doi.org/10.1007/s12190-022-01723-0 Text en © The Author(s) under exclusive licence to Korean Society for Informatics and Computational Applied Mathematics 2022 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 Research Upadhyay, Ranjit Kumar Chatterjee, Sourin Roy, Parimita Bhardwaj, Dyuti Combating COVID-19 crisis and predicting the second wave in Europe: an Age-structured modeling |
title | Combating COVID-19 crisis and predicting the second wave in Europe: an Age-structured modeling |
title_full | Combating COVID-19 crisis and predicting the second wave in Europe: an Age-structured modeling |
title_fullStr | Combating COVID-19 crisis and predicting the second wave in Europe: an Age-structured modeling |
title_full_unstemmed | Combating COVID-19 crisis and predicting the second wave in Europe: an Age-structured modeling |
title_short | Combating COVID-19 crisis and predicting the second wave in Europe: an Age-structured modeling |
title_sort | combating covid-19 crisis and predicting the second wave in europe: an age-structured modeling |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8935103/ https://www.ncbi.nlm.nih.gov/pubmed/35340716 http://dx.doi.org/10.1007/s12190-022-01723-0 |
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