Application of IoT in Smart Epidemic Management in context of Covid-19

Sujoy Datta, Monideepa Roy, Pushpendu Kar

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

Abstract

The main reason which makes epidemics so dangerous and difficult to contain is their highly infectious nature. In the case of Covid-19 also, data shows that its contagious nature is increasing along with its various mutant strains. One of the primary methods adopted to fight the pandemic has been to break the infection chain and thus reduce the rate of persons getting infected every day, through lockdowns, self-isolation, social distancing, and other measures. But although there are already many existing epidemic models, to predict and track the spread of the disease, it is evident from the difference in the rates of infection and fatalities in different countries, that a uniform set of parameters is not sufficient to accurately predict the curves. In this paper, we have suggested some additional benchmarks that could be considered and at a higher granularity for more accurate predictions at more local levels. We also propose an IoT-based framework for the collection of such types of data through smartphones for more consolidated information to be made available to the authorities, for the effective management of epidemics. The framework also issues warnings to other users through smartphones if the app detects the presence of a potentially infected person within close range.

Original languageEnglish
Title of host publication2021 IEEE 22nd International Conference on High Performance Switching and Routing, HPSR 2021
PublisherIEEE Computer Society
ISBN (Electronic)9781665440059
DOIs
Publication statusPublished - 7 Jun 2021
Event22nd IEEE International Conference on High Performance Switching and Routing, HPSR 2021 - Paris, France
Duration: 7 Jun 202110 Jun 2021

Publication series

NameIEEE International Conference on High Performance Switching and Routing, HPSR
Volume2021-June
ISSN (Print)2325-5595
ISSN (Electronic)2325-5609

Conference

Conference22nd IEEE International Conference on High Performance Switching and Routing, HPSR 2021
Country/TerritoryFrance
CityParis
Period7/06/2110/06/21

Keywords

  • Covid-19
  • Epidemic model
  • IoT
  • SEIR model
  • smart healthcar

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering

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