In Vivo Channel Characterization for Dengue Virus Infection

Saswati Pal, Nabiul Islam, Sudip Misra, Sasitharan Balasubramaniam

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Dengue, a mosquito-borne viral disease, poses a global threat owing to the unavailability of any specific therapeutics. Since prevention is only restricted to vector control, a clear understanding of Dengue Virus (DENV) transmission within an infected host is essential. The dynamics of DENV transmission addressed in light of molecular communication paradigm is promising in providing crucial information accounting for disease control that can lead to development of novel approaches to clear the virus infection. In this work, we model the DENV transmission inside the body from the point of a mosquito bite to the targeted organs as a communication system. Based on the physiological processes involved in the transmission of DENV through the layers of skin and vascular systems, we identify and propose a channel model. By considering the dynamics of virus transmission through the channel, we analyze and calculate different channel phenomena, such as path loss and channel noise, and obtain an analytical expression for the capacity of the proposed channel model. The uncertainty in signal transmission is modeled and evaluated owing to the innate and adaptive immune response in the channel. We performed in-silico experiments for validation and provided numerical analysis for the channel characteristics. Our analysis revealed that the attenuation offered in the cutaneous channel does not result in significant signal loss. We also observed that the variations in the channel capacity is not substantially affected by the injection probabilities of the virus.
Original languageEnglish
Title of host publicationProceedings of the 6th ACM International Conference on Nanoscale Computing and Communication, NANOCOM 2019
PublisherAssociation for Computing Machinery (ACM)
Pages1-7
ISBN (Electronic)9781450368971
DOIs
Publication statusPublished - 25 Sep 2019
Event6th ACM International Conference on Nanoscale Computing and Communication, NANOCOM 2019 - Dublin, Ireland
Duration: 25 Sep 201927 Sep 2019

Publication series

NameProceedings of the 6th ACM International Conference on Nanoscale Computing and Communication, NANOCOM 2019

Conference

Conference6th ACM International Conference on Nanoscale Computing and Communication, NANOCOM 2019
Country/TerritoryIreland
CityDublin
Period25/09/201927/09/2019

Keywords

  • Capacity analysis
  • Channel model
  • Dengue virus
  • In vivo transmission
  • Information theory
  • Path loss

Fingerprint

Dive into the research topics of 'In Vivo Channel Characterization for Dengue Virus Infection'. Together they form a unique fingerprint.

Cite this