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VIVID: In Vivo End-to-End Molecular Communication Model for COVID-19

As an alternative to ongoing efforts for vaccine development, scientists are exploring novel approaches to provide innovative therapeutics, such as nanoparticle- and stem cell-based treatments. Thus, understanding the transmission and propagation dynamics of coronavirus inside the respiratory system...

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Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IEEE 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8544951/
https://www.ncbi.nlm.nih.gov/pubmed/35782712
http://dx.doi.org/10.1109/TMBMC.2021.3071767
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description As an alternative to ongoing efforts for vaccine development, scientists are exploring novel approaches to provide innovative therapeutics, such as nanoparticle- and stem cell-based treatments. Thus, understanding the transmission and propagation dynamics of coronavirus inside the respiratory system has attracted researchers’ attention. In this work, we model the transmission and propagation of coronavirus inside the respiratory tract, starting from the nasal area to alveoli using molecular communication theory. We performed experiments using COMSOL, a finite-element multiphysics simulation software, and Python-based simulations to analyze the end-to-end communication model in terms of path loss, delay, and gain. The analytical results show the correlation between the channel characteristics and pathophysiological properties of coronavirus. For the initial 50% of the maximum production rate of virus particles, the path loss increases more than 16 times than the remaining 50%. The delayed response of the immune system and increase in the absorption of virus particles inside the respiratory tract delay the arrival of virus particles at the alveoli. Furthermore, the results reveal that the virus load is more in case of asthmatic patients as compared to the normal subjects.
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spelling pubmed-85449512022-06-29 VIVID: In Vivo End-to-End Molecular Communication Model for COVID-19 IEEE Trans Mol Biol Multiscale Commun Article As an alternative to ongoing efforts for vaccine development, scientists are exploring novel approaches to provide innovative therapeutics, such as nanoparticle- and stem cell-based treatments. Thus, understanding the transmission and propagation dynamics of coronavirus inside the respiratory system has attracted researchers’ attention. In this work, we model the transmission and propagation of coronavirus inside the respiratory tract, starting from the nasal area to alveoli using molecular communication theory. We performed experiments using COMSOL, a finite-element multiphysics simulation software, and Python-based simulations to analyze the end-to-end communication model in terms of path loss, delay, and gain. The analytical results show the correlation between the channel characteristics and pathophysiological properties of coronavirus. For the initial 50% of the maximum production rate of virus particles, the path loss increases more than 16 times than the remaining 50%. The delayed response of the immune system and increase in the absorption of virus particles inside the respiratory tract delay the arrival of virus particles at the alveoli. Furthermore, the results reveal that the virus load is more in case of asthmatic patients as compared to the normal subjects. IEEE 2021-04-08 /pmc/articles/PMC8544951/ /pubmed/35782712 http://dx.doi.org/10.1109/TMBMC.2021.3071767 Text en This article is free to access and download, along with rights for full text and data mining, re-use and analysis.
spellingShingle Article
VIVID: In Vivo End-to-End Molecular Communication Model for COVID-19
title VIVID: In Vivo End-to-End Molecular Communication Model for COVID-19
title_full VIVID: In Vivo End-to-End Molecular Communication Model for COVID-19
title_fullStr VIVID: In Vivo End-to-End Molecular Communication Model for COVID-19
title_full_unstemmed VIVID: In Vivo End-to-End Molecular Communication Model for COVID-19
title_short VIVID: In Vivo End-to-End Molecular Communication Model for COVID-19
title_sort vivid: in vivo end-to-end molecular communication model for covid-19
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8544951/
https://www.ncbi.nlm.nih.gov/pubmed/35782712
http://dx.doi.org/10.1109/TMBMC.2021.3071767
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