Covidaroundus: Social distancing made easier

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

doi:10.1109/WIDSTAIF52235.2021.9430253

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 proceeding › Conference contribution › peer-review

Abstract

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 language	English
Title of host publication	2021 International Conference of Women in Data Science at Taif University, WiDSTaif 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665449489
DOIs	https://doi.org/10.1109/WIDSTAIF52235.2021.9430253
State	Published - 30 Mar 2021

Publication series

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

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

COVID-19 Awareness
Location-based Recommendations
Smart Attention System

ASJC Scopus subject areas

Computer Science (miscellaneous)
Computer Science Applications

Access to Document

10.1109/WIDSTAIF52235.2021.9430253

Cite this

Alfi, I. A., Ahmed, M. S., Rumman, F. Z., Hossain, Z., Shorfuzzaman, M., & Rahman, M. M. (2021). Covidaroundus: Social distancing made easier. In 2021 International Conference of Women in Data Science at Taif University, WiDSTaif 2021 [9430253] (2021 International Conference of Women in Data Science at Taif University, WiDSTaif 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WIDSTAIF52235.2021.9430253

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abstract = "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.",

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Alfi, IA, Ahmed, MS, Rumman, FZ, Hossain, Z, Shorfuzzaman, M & Rahman, MM 2021, Covidaroundus: Social distancing made easier. in 2021 International Conference of Women in Data Science at Taif University, WiDSTaif 2021., 9430253, 2021 International Conference of Women in Data Science at Taif University, WiDSTaif 2021, Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/WIDSTAIF52235.2021.9430253

Covidaroundus: Social distancing made easier. / Alfi, Iftiaz A.; Ahmed, Md Sajid; Rumman, Fatematuj Z. et al.
2021 International Conference of Women in Data Science at Taif University, WiDSTaif 2021. Institute of Electrical and Electronics Engineers Inc., 2021. 9430253 (2021 International Conference of Women in Data Science at Taif University, WiDSTaif 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Covidaroundus

T2 - Social distancing made easier

AU - Alfi, Iftiaz A.

AU - Ahmed, Md Sajid

AU - Rumman, Fatematuj Z.

AU - Hossain, Ziad

AU - Shorfuzzaman, Mohammad

AU - Rahman, Md Mahfuzur

PY - 2021/3/30

Y1 - 2021/3/30

N2 - 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.

AB - 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.

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Alfi IA, Ahmed MS, Rumman FZ, Hossain Z, Shorfuzzaman M, Rahman MM. Covidaroundus: Social distancing made easier. In 2021 International Conference of Women in Data Science at Taif University, WiDSTaif 2021. Institute of Electrical and Electronics Engineers Inc. 2021. 9430253. (2021 International Conference of Women in Data Science at Taif University, WiDSTaif 2021). doi: 10.1109/WIDSTAIF52235.2021.9430253

Covidaroundus: Social distancing made easier

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this