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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...

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Detalles Bibliográficos
Autores principales: Upadhyay, Ranjit Kumar, Chatterjee, Sourin, Roy, Parimita, Bhardwaj, Dyuti
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
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.
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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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