Covidaroundus: Social distancing made easier

Iftiaz A. Alfi, Md Sajid Ahmed, Fatematuj Z. Rumman, Ziad Hossain, Mohammad Shorfuzzaman, Md Mahfuzur Rahman

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


To reduce the dispersion of COVID - 19, people need to maintain safe distance from each other. This paper proposes a mobile application solution that keeps track of the COVID - 19 positive individuals in a certain area. With the help of the infected person's position uploaded in the cloud system, a location-based recommendation (i.e. informing people about a danger zone) is provided to the related users. Taking the pandemic into consideration, a proper visualization of users' location is made on the map using geospatial hotspot and location-based services. This paper describes the development of the mobile application that uses GPS data to pinpoint the infected person's location and create a danger zone based on the information. The accuracy of the services (provided by the application) was tested and confirmed through experiments.

Original languageEnglish
Title of host publication2021 International Conference of Women in Data Science at Taif University, WiDSTaif 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665449489
StatePublished - 30 Mar 2021

Publication series

Name2021 International Conference of Women in Data Science at Taif University, WiDSTaif 2021

Bibliographical note

Publisher Copyright:
© 2021 IEEE.


  • COVID-19 Awareness
  • Location-based Recommendations
  • Smart Attention System

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Computer Science Applications


Dive into the research topics of 'Covidaroundus: Social distancing made easier'. Together they form a unique fingerprint.

Cite this