Literature Database Entry

hoeher2022mutual

Peter Adam Hoeher, Martin Damrath, Sunasheer Bhattacharjee and Max Schurwanz, "On Mutual Information Analysis of Infectious Disease Transmission via Particle Propagation," IEEE Transactions on Molecular, Biological and Multi-Scale Communications, vol. 8 (3), pp. 202–206, September 2022.

Abstract

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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Peter Adam Hoeher
Martin Damrath
Sunasheer Bhattacharjee
Max Schurwanz

BibTeX reference

@article{hoeher2022mutual,
    author = {Hoeher, Peter Adam and Damrath, Martin and Bhattacharjee, Sunasheer and Schurwanz, Max},
    doi = {10.1109/tmbmc.2021.3120637},
    title = {{On Mutual Information Analysis of Infectious Disease Transmission via Particle Propagation}},
    pages = {202--206},
    journal = {IEEE Transactions on Molecular, Biological and Multi-Scale Communications},
    issn = {2332-7804},
    publisher = {IEEE},
    month = {9},
    number = {3},
    volume = {8},
    year = {2022},
   }
   
   

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Last modified: 2026-04-19