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Unravelling the dynamics of the COVID-19 pandemic with the effect of vaccination, vertical transmission and hospitalization

The coronavirus disease 2019 (COVID-19) is caused by a newly emerged virus known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), transmitted through air droplets from an infected person. However, other transmission routes are reported, such as vertical transmission. Here, we propose...

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Autores principales: Alqahtani, Rubayyi T., Musa, Salihu S., Yusuf, Abdullahi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier B.V. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9192123/
https://www.ncbi.nlm.nih.gov/pubmed/35720511
http://dx.doi.org/10.1016/j.rinp.2022.105715
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author Alqahtani, Rubayyi T.
Musa, Salihu S.
Yusuf, Abdullahi
author_facet Alqahtani, Rubayyi T.
Musa, Salihu S.
Yusuf, Abdullahi
author_sort Alqahtani, Rubayyi T.
collection PubMed
description The coronavirus disease 2019 (COVID-19) is caused by a newly emerged virus known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), transmitted through air droplets from an infected person. However, other transmission routes are reported, such as vertical transmission. Here, we propose an epidemic model that considers the combined effect of vertical transmission, vaccination and hospitalization to investigate the dynamics of the virus’s dissemination. Rigorous mathematical analysis of the model reveals that two equilibria exist: the disease-free equilibrium, which is locally asymptotically stable when the basic reproduction number ([Formula: see text]) is less than 1 (unstable otherwise), and an endemic equilibrium, which is globally asymptotically stable when [Formula: see text] under certain conditions, implying the plausibility of the disease to spread and cause large outbreaks in a community. Moreover, we fit the model using the Saudi Arabia cases scenario, which designates the incidence cases from the in-depth surveillance data as well as displays the epidemic trends in Saudi Arabia. Through Caputo fractional-order, simulation results are provided to show dynamics behaviour on the model parameters. Together with the non-integer order variant, the proposed model is considered to explain various dynamics features of the disease. Further numerical simulations are carried out using an efficient numerical technique to offer additional insight into the model’s dynamics and investigate the combined effect of vaccination, vertical transmission, and hospitalization. In addition, a sensitivity analysis is conducted on the model parameters against the [Formula: see text] and infection attack rate to pinpoint the most crucial parameters that should be emphasized in controlling the pandemic effectively. Finally, the findings suggest that adequate vaccination coupled with basic non-pharmaceutical interventions are crucial in mitigating disease incidences and deaths.
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spelling pubmed-91921232022-06-14 Unravelling the dynamics of the COVID-19 pandemic with the effect of vaccination, vertical transmission and hospitalization Alqahtani, Rubayyi T. Musa, Salihu S. Yusuf, Abdullahi Results Phys Article The coronavirus disease 2019 (COVID-19) is caused by a newly emerged virus known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), transmitted through air droplets from an infected person. However, other transmission routes are reported, such as vertical transmission. Here, we propose an epidemic model that considers the combined effect of vertical transmission, vaccination and hospitalization to investigate the dynamics of the virus’s dissemination. Rigorous mathematical analysis of the model reveals that two equilibria exist: the disease-free equilibrium, which is locally asymptotically stable when the basic reproduction number ([Formula: see text]) is less than 1 (unstable otherwise), and an endemic equilibrium, which is globally asymptotically stable when [Formula: see text] under certain conditions, implying the plausibility of the disease to spread and cause large outbreaks in a community. Moreover, we fit the model using the Saudi Arabia cases scenario, which designates the incidence cases from the in-depth surveillance data as well as displays the epidemic trends in Saudi Arabia. Through Caputo fractional-order, simulation results are provided to show dynamics behaviour on the model parameters. Together with the non-integer order variant, the proposed model is considered to explain various dynamics features of the disease. Further numerical simulations are carried out using an efficient numerical technique to offer additional insight into the model’s dynamics and investigate the combined effect of vaccination, vertical transmission, and hospitalization. In addition, a sensitivity analysis is conducted on the model parameters against the [Formula: see text] and infection attack rate to pinpoint the most crucial parameters that should be emphasized in controlling the pandemic effectively. Finally, the findings suggest that adequate vaccination coupled with basic non-pharmaceutical interventions are crucial in mitigating disease incidences and deaths. Published by Elsevier B.V. 2022-08 2022-06-14 /pmc/articles/PMC9192123/ /pubmed/35720511 http://dx.doi.org/10.1016/j.rinp.2022.105715 Text en © 2022 Published by Elsevier B.V. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Alqahtani, Rubayyi T.
Musa, Salihu S.
Yusuf, Abdullahi
Unravelling the dynamics of the COVID-19 pandemic with the effect of vaccination, vertical transmission and hospitalization
title Unravelling the dynamics of the COVID-19 pandemic with the effect of vaccination, vertical transmission and hospitalization
title_full Unravelling the dynamics of the COVID-19 pandemic with the effect of vaccination, vertical transmission and hospitalization
title_fullStr Unravelling the dynamics of the COVID-19 pandemic with the effect of vaccination, vertical transmission and hospitalization
title_full_unstemmed Unravelling the dynamics of the COVID-19 pandemic with the effect of vaccination, vertical transmission and hospitalization
title_short Unravelling the dynamics of the COVID-19 pandemic with the effect of vaccination, vertical transmission and hospitalization
title_sort unravelling the dynamics of the covid-19 pandemic with the effect of vaccination, vertical transmission and hospitalization
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9192123/
https://www.ncbi.nlm.nih.gov/pubmed/35720511
http://dx.doi.org/10.1016/j.rinp.2022.105715
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