A Molecular Communication Perspective on Airborne Pathogen Transmission and Reception via Droplets Generated by Coughing and Sneezing

Güleç, Fatih; Atakan, Barış

doi:10.48550/arxiv.2007.07598

Cited by 3 publications

(10 citation statements)

References 31 publications

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“…One or two infected subjects are considered, coughing once per minute. Per cough, 4973 water particles are expected to be released at an initial speed of 11.2 m/s, see [4] and reference [37] therein. Their diameter d is taken from [4] and reference [29] therein, where d min = 2 µm and d max = 2000 µm.…”

Section: Numerical Results For Typical Environmentsmentioning

confidence: 99%

“…Per cough, 4973 water particles are expected to be released at an initial speed of 11.2 m/s, see [4] and reference [37] therein. Their diameter d is taken from [4] and reference [29] therein, where d min = 2 µm and d max = 2000 µm. Since the size of a COVID-19 virus is approximately 0.1 µm d min , the number of viruses encapsulated per water particle is ∼ d 3 .…”

Section: Numerical Results For Typical Environmentsmentioning

confidence: 99%

“…Subsequently, in [3] the same authors developed a mathematical analysis model of aerosol transmission and detection in order to examine detection probabilities and ranges. Related work on end-to-end system modeling has been published in [4], but for a humanto-human communication setup, where transmitter/receiver are interpreted as infected/uninfected humans. Also, drag and buoyancy are taken into account in [4].…”

Section: Introductionmentioning

confidence: 99%

“…Related work on end-to-end system modeling has been published in [4], but for a humanto-human communication setup, where transmitter/receiver are interpreted as infected/uninfected humans. Also, drag and buoyancy are taken into account in [4]. Inspired by papers such as [2], [4], the duality between molecular communication and pathogen-laden particle transmission has been explored in [5], [6].…”

Section: Introductionmentioning

confidence: 99%

“…Also, drag and buoyancy are taken into account in [4]. Inspired by papers such as [2], [4], the duality between molecular communication and pathogen-laden particle transmission has been explored in [5], [6]. Specifically, the analogy to a multiuser communication scenario is elaborated.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

On Mutual Information Analysis of Infectious Disease Transmission via Particle Propagation

Hoeher

Damrath

Bhattacharjee

et al. 2022

IEEE Trans. Mol. Biol. Multi-Scale Commun.

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Besides mimicking bio-chemical and multi-scale communication mechanisms, molecular communication forms a theoretical framework for virus infection processes. Towards this goal, aerosol and droplet transmission has recently been modeled as a multiuser scenario. In this letter, the "infection performance" is evaluated by means of a mutual information analysis, and by an even simpler probabilistic performance measure which is closely related to absorbed viruses. The so-called infection rate depends on the distribution of the channel input events as well as on the transition probabilities between channel input and output events. The infection rate is investigated analytically for five basic discrete memoryless channel models. Numerical results for the transition probabilities are obtained by Monte Carlo simulations for pathogen-laden particle transmission in four typical indoor environments: two-person office, corridor, classroom, and bus. Particle transfer contributed significantly to infectious diseases like SARS-CoV-2 and influenza.

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Section: Numerical Results For Typical Environmentsmentioning

confidence: 99%

Section: Numerical Results For Typical Environmentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

On Mutual Information Analysis of Infectious Disease Transmission via Particle Propagation

Hoeher

Damrath

Bhattacharjee

et al. 2022

IEEE Trans. Mol. Biol. Multi-Scale Commun.

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Infectious Disease Transmission via Aerosol Propagation from a Molecular Communication Perspective: Shannon Meets Coronavirus

Schurwanz,

Hoeher,

Bhattacharjee

et al. 2020

Preprint

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Molecular communication is not just able to mimic biological and chemical communication mechanisms, but also provides a theoretical framework regarding viral infection processes. In this tutorial, aerosol and droplet transmission is modeled as a multiuser scenario with mobile nodes, related to broadcasting and relaying. In contrast to data communication systems, in the application of pathogen-laden aerosol transmission, mutual information between nodes should be minimized. Towards this goal, several countermeasures are reasoned. The findings are supported by experimental results and by an advanced particle simulation tool. This work is inspired by the recent outbreak of the coronavirus (COVID-19) pandemic, but also applicable to other air-borne infectious diseases like influenza.

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Statistical Modeling of Airborne Virus Transmission Through Imperfectly Fitted Face Masks

Lotter¹,

Brand²,

Schäfer³

et al. 2021

Preprint

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The rapid emergence and the disastrous impact of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic on public health, societies, and economies around the world has created an urgent need for understanding the pathways critical for virus transmission and counteracting the spread of SARS-CoV-2 efficiently. Airborne virus transmission by asymptomatic SARS-CoV-2infected individuals is considered to be a major contributor to the fast spread of SARS-CoV-2 and social distancing and wearing of face masks in public have been implemented as countermeasures in many countries. Concerted research efforts in diverse scientific fields have meanwhile advanced the understanding of the physical principles of the manifold processes involved in airborne transmission of SARS-CoV-2. As part of these efforts, the physics and dynamics of aerosol filtration by various types of face masks have been studied. However, a comprehensive risk assessment framework for the airborne transmission of SARS-CoV-2 incorporating realistic assumptions on the filtration of infectious aerosols (IAs) by face masks is not available yet. In particular, in most end-to-end models for airborne virus transmission, it is neglected that the stochastic spread of IAs through imperfectly fitted face masks depends on the dynamics of the breathing of the wearer. In this paper, we consider airborne virus transmission from an infected but asymptomatic individual to a healthy individual, both wearing imperfectly fitted face masks, in an indoor environment. By framing the endto-end virus transmission as a Molecular Communications (MC) system, we obtain a statistical description of the number of IAs inhaled by the healthy person subject to the respective configurations of the face masks of both persons. We demonstrate that the exhalation and inhalation air flow dynamics have a significant impact on the stochastic filtering of IAs by the imperfectly fitted face masks. Furthermore, we are able to show that the fit of the face mask of the infected person can highly impact the infection probability if the infectious dose for virus transmission to the healthy person is in a critical range. We conclude that the proposed MC model may contribute a valuable assessment tool to fight the spread of SARS-CoV-2 as it naturally encompasses the randomness of the transmission process and thus enables comprehensive risk analysis beyond statistical averages.

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A Molecular Communication Perspective on Airborne Pathogen Transmission and Reception via Droplets Generated by Coughing and Sneezing

Cited by 3 publications

References 31 publications

On Mutual Information Analysis of Infectious Disease Transmission via Particle Propagation

On Mutual Information Analysis of Infectious Disease Transmission via Particle Propagation

Infectious Disease Transmission via Aerosol Propagation from a Molecular Communication Perspective: Shannon Meets Coronavirus

Statistical Modeling of Airborne Virus Transmission Through Imperfectly Fitted Face Masks

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