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Molecular Communication Theoretical Modeling and Analysis of SARS-CoV2 Transmission in Human Respiratory System.
Koca, Caglar; Civas, Meltem; Sahin, Selin Merve; Ergonul, Onder; Akan, Ozgur B.
  • Koca C; Internet of Everything Group, Electrical Engineering DivisionDepartment of EngineeringUniversity of Cambridge Cambridge CB2 1PZ U.K.
  • Civas M; Next-Generation and Wireless Communications LaboratoryDepartment of Electrical and Electronics EngineeringKoç University 34450 Istanbul Turkey.
  • Sahin SM; School of MedicineKoç University 34450 Istanbul Turkey.
  • Ergonul O; School of MedicineDepartment of Infectious Diseases and Clinical MicrobiologyKoç University 34450 Istanbul Turkey.
  • Akan OB; Research Centre for Infectious DiseasesKoç University 34450 Istanbul Turkey.
IEEE Trans Mol Biol Multiscale Commun ; 7(3): 153-164, 2021 Sep.
Article in English | MEDLINE | ID: covidwho-1197077
ABSTRACT
Severe Acute Respiratory Syndrome-CoronaVirus 2 (SARS-CoV2) caused the ongoing pandemic. This pandemic devastated the world by killing more than a million people, as of October 2020. It is imperative to understand the transmission dynamics of SARS-CoV2 so that novel and interdisciplinary prevention, diagnostic, and therapeutic techniques could be developed. In this work, we model and analyze the transmission of SARS-CoV2 through the human respiratory tract from a molecular communication perspective. We consider that virus diffusion occurs in the mucus layer so that the shape of the tract does not have a significant effect on the transmission. Hence, this model reduces the inherent complexity of the human respiratory system. We further provide the impulse response of SARS-CoV2-ACE2 receptor binding event to determine the proportion of the virus population reaching different regions of the respiratory tract. Our findings confirm the results in the experimental literature on higher mucus flow rate causing virus migration to the lower respiratory tract. These results are especially important to understand the effect of SARS-CoV2 on the different human populations at different ages who have different mucus flow rates and ACE2 receptor concentrations in the different regions of the respiratory tract.
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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: IEEE Trans Mol Biol Multiscale Commun Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: IEEE Trans Mol Biol Multiscale Commun Year: 2021 Document Type: Article