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  Published Paper Details:

  Paper Title

SMARTPHONE CONTACT TRACING TECHNOLOGY TO REDUCE THE SPREAD OF INFECTIOUS DISEASES: THE CASE OF COVID-19

  Authors

  ALEENA PRAKASH,  AMBILY JACOB

  Keywords

Mobile computing, social networks, digital epidemiology, epidemic models.

  Abstract


Controlling and detecting the spread of diseases like COVID-19 is essential in controlling epidemics. The measures to decrease the spread is to detect infected people ad track their previous illnesses. Contact tracing helps to isolate anyone who may be infected, since the virus can be transmitted between people without even showing any symptoms. These previous contacts can be used with mobile devices such as smart watches or smartphones that track the location and contacts through the use of communication technologies like GPS, Wi-Fi, Bluetooth or other cellular networks. This paper evaluates the importance of these technologies and determines the spread of toxic diseases. In this paper, we uses an epidemic model to evaluate productiveness and the measures to be taken, depending on contact tracking technologies from smartphones. The result show us in order to be effective of COVID-19 disease, the contact tracking technology must be accurate, contacts must be tracked quickly. This requirements make smartphone-based contact tracing to turn down the spread of virus in this period.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2106536

  Paper ID - 208942

  Page Number(s) - e657-e666

  Pubished in - Volume 9 | Issue 6 | June 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  ALEENA PRAKASH,  AMBILY JACOB,   "SMARTPHONE CONTACT TRACING TECHNOLOGY TO REDUCE THE SPREAD OF INFECTIOUS DISEASES: THE CASE OF COVID-19", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 6, pp.e657-e666, June 2021, Available at :http://www.ijcrt.org/papers/IJCRT2106536.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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