Assessing the impact of adherence to Non-pharmaceutical interventions and indirect transmission on the dynamics of COVID-19: a mathematical modelling study

Adherence to public health policies such as the non-pharmaceutical interventions implemented against COVID-19 plays a major role in reducing infections and controlling the spread of the diseases. In addition, understanding the transmission dynamics of the disease is also important in order to make a...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Sarafa A. Iyaniwura, Musa Rabiu, Jummy F. David, Jude D. Kong
Formato:	article
Lenguaje:	EN
Publicado:	AIMS Press 2021
Materias:	covid-19 epidemics sars-cov-2 direct and indirect transmission seir models non-pharmaceutical intervention adherent and non-adherent population dynamics Biotechnology TP248.13-248.65 Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/d16ab5e6a133402b9c28c63655ad62ec
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:d16ab5e6a133402b9c28c63655ad62ec
record_format	dspace
spelling	oai:doaj.org-article:d16ab5e6a133402b9c28c63655ad62ec2021-11-29T02:46:48ZAssessing the impact of adherence to Non-pharmaceutical interventions and indirect transmission on the dynamics of COVID-19: a mathematical modelling study10.3934/mbe.20214391551-0018https://doaj.org/article/d16ab5e6a133402b9c28c63655ad62ec2021-10-01T00:00:00Zhttps://www.aimspress.com/article/doi/10.3934/mbe.2021439?viewType=HTMLhttps://doaj.org/toc/1551-0018Adherence to public health policies such as the non-pharmaceutical interventions implemented against COVID-19 plays a major role in reducing infections and controlling the spread of the diseases. In addition, understanding the transmission dynamics of the disease is also important in order to make and implement efficient public health policies. In this paper, we developed an SEIR-type compartmental model to assess the impact of adherence to COVID-19 non-pharmaceutical interventions and indirect transmission on the dynamics of the disease. Our model considers both direct and indirect transmission routes and stratifies the population into two groups: those that adhere to COVID-19 non-pharmaceutical interventions (NPIs) and those that do not adhere to the NPIs. We compute the control reproduction number and the final epidemic size relation for our model and study the effect of different parameters of the model on these quantities. Our results show that there is a significant benefit in adhering to the COVID-19 NPIs.Sarafa A. IyaniwuraMusa RabiuJummy F. DavidJude D. Kong AIMS Pressarticlecovid-19epidemicssars-cov-2direct and indirect transmissionseir modelsnon-pharmaceutical interventionadherent and non-adherentpopulation dynamicsBiotechnologyTP248.13-248.65MathematicsQA1-939ENMathematical Biosciences and Engineering, Vol 18, Iss 6, Pp 8905-8932 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	covid-19 epidemics sars-cov-2 direct and indirect transmission seir models non-pharmaceutical intervention adherent and non-adherent population dynamics Biotechnology TP248.13-248.65 Mathematics QA1-939
spellingShingle	covid-19 epidemics sars-cov-2 direct and indirect transmission seir models non-pharmaceutical intervention adherent and non-adherent population dynamics Biotechnology TP248.13-248.65 Mathematics QA1-939 Sarafa A. Iyaniwura Musa Rabiu Jummy F. David Jude D. Kong Assessing the impact of adherence to Non-pharmaceutical interventions and indirect transmission on the dynamics of COVID-19: a mathematical modelling study
description	Adherence to public health policies such as the non-pharmaceutical interventions implemented against COVID-19 plays a major role in reducing infections and controlling the spread of the diseases. In addition, understanding the transmission dynamics of the disease is also important in order to make and implement efficient public health policies. In this paper, we developed an SEIR-type compartmental model to assess the impact of adherence to COVID-19 non-pharmaceutical interventions and indirect transmission on the dynamics of the disease. Our model considers both direct and indirect transmission routes and stratifies the population into two groups: those that adhere to COVID-19 non-pharmaceutical interventions (NPIs) and those that do not adhere to the NPIs. We compute the control reproduction number and the final epidemic size relation for our model and study the effect of different parameters of the model on these quantities. Our results show that there is a significant benefit in adhering to the COVID-19 NPIs.
format	article
author	Sarafa A. Iyaniwura Musa Rabiu Jummy F. David Jude D. Kong
author_facet	Sarafa A. Iyaniwura Musa Rabiu Jummy F. David Jude D. Kong
author_sort	Sarafa A. Iyaniwura
title	Assessing the impact of adherence to Non-pharmaceutical interventions and indirect transmission on the dynamics of COVID-19: a mathematical modelling study
title_short	Assessing the impact of adherence to Non-pharmaceutical interventions and indirect transmission on the dynamics of COVID-19: a mathematical modelling study
title_full	Assessing the impact of adherence to Non-pharmaceutical interventions and indirect transmission on the dynamics of COVID-19: a mathematical modelling study
title_fullStr	Assessing the impact of adherence to Non-pharmaceutical interventions and indirect transmission on the dynamics of COVID-19: a mathematical modelling study
title_full_unstemmed	Assessing the impact of adherence to Non-pharmaceutical interventions and indirect transmission on the dynamics of COVID-19: a mathematical modelling study
title_sort	assessing the impact of adherence to non-pharmaceutical interventions and indirect transmission on the dynamics of covid-19: a mathematical modelling study
publisher	AIMS Press
publishDate	2021
url	https://doaj.org/article/d16ab5e6a133402b9c28c63655ad62ec
work_keys_str_mv	AT sarafaaiyaniwura assessingtheimpactofadherencetononpharmaceuticalinterventionsandindirecttransmissiononthedynamicsofcovid19amathematicalmodellingstudy AT musarabiu assessingtheimpactofadherencetononpharmaceuticalinterventionsandindirecttransmissiononthedynamicsofcovid19amathematicalmodellingstudy AT jummyfdavid assessingtheimpactofadherencetononpharmaceuticalinterventionsandindirecttransmissiononthedynamicsofcovid19amathematicalmodellingstudy AT judedkong assessingtheimpactofadherencetononpharmaceuticalinterventionsandindirecttransmissiononthedynamicsofcovid19amathematicalmodellingstudy
_version_	1718407674750566400

Assessing the impact of adherence to Non-pharmaceutical interventions and indirect transmission on the dynamics of COVID-19: a mathematical modelling study

Ejemplares similares