Mobile human ad hoc networks: A communication engineering viewpoint on interhuman airborne pathogen transmission
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Abstract
A number of transmission models for airborne pathogens transmission, as required to understand airborne infectious diseases such as COVID-19, have been proposed independently from each other, at different scales, and by researchers from various disciplines. We propose a communication engineering approach that blends different disciplines such as epidemiology, biology, medicine, and fluid dynamics. The aim is to present a unified framework using communication engineering, and to highlight future research directions for modeling the spread of infectious diseases through airborne transmission. We introduce the concept of mobile human ad hoc networks (MoHANETs), which exploits the similarity of airborne transmission-driven human groups with mobile ad hoc networks and uses molecular communication as the enabling paradigm. In the MoHANET architecture, a layered structure is employed where the infectious human emitting pathogen-laden droplets and the exposed human to these droplets are considered as the transmitter and receiver, respectively. Our proof-of-concept results, which we validated using empirical COVID-19 data, clearly demonstrate the ability of our MoHANET architecture to predict the dynamics of infectious diseases by considering the propagation of pathogen-laden droplets, their reception and mobility of humans.
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Keywords
Airborne pathogen transmission, COVID-19, Epidemiology, Infectious disease, Molecular communication, Signal Processing (eess.SP), Social and Information Networks (cs.SI), FOS: Computer and information sciences, Computer Science - Social and Information Networks, Other Quantitative Biology (q-bio.OT), Quantitative Biology - Other Quantitative Biology, Article, FOS: Biological sciences, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing
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0301 basic medicine, 0303 health sciences, 03 medical and health sciences
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4
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32-33
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CrossRef : 2
Scopus : 4
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