Molecular Communication Theoretical Modeling and Analysis of SARS-CoV2 Transmission in Human Respiratory System
Caglar Koca, Meltem Civas, Selin M. Sahin, Onder Ergonul, Ozgur B., Akan

TL;DR
This paper models SARS-CoV2 transmission in the human respiratory system using molecular communication theory, providing insights into virus migration influenced by mucus flow and receptor interactions, which can inform prevention and treatment strategies.
Contribution
It introduces a simplified molecular communication model of SARS-CoV2 transmission focusing on mucus diffusion and receptor binding, reducing system complexity and aligning with experimental findings.
Findings
Higher mucus flow rate promotes virus migration to lower respiratory tract
Model's predictions match experimental observations
Insights into age-related differences in virus transmission
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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
