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The role of big data analytics in digital health for COVID-19 prevention and control in Asia

Big data analytics (BDA) in digital health is critical for gaining the knowledge needed to make decisions, with Asia at the forefront of utilising this technology for the Coronavirus disease 2019 (COVID-19). This review aims to study how BDA was incorporated into digital health in managing the COVID...

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Main Authors: Azmi, Nazmi Ainaa, Mohd Noor, Norhafizah, Mud Shukri, Muhammad Ikhwan, Mahmud, Aidalina, Abdul Manaf, Rosliza
Format: Article
Language:English
Published: Faculty of Medicine and Health Sciences, Universiti Putra Malaysia 2022
Online Access:http://psasir.upm.edu.my/id/eprint/98689/1/2022071815345624_MJMHS_1300.pdf
http://psasir.upm.edu.my/id/eprint/98689/
https://medic.upm.edu.my/upload/dokumen/2022071815345624_MJMHS_1300.pdf
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spelling my.upm.eprints.986892022-11-22T07:02:54Z http://psasir.upm.edu.my/id/eprint/98689/ The role of big data analytics in digital health for COVID-19 prevention and control in Asia Azmi, Nazmi Ainaa Mohd Noor, Norhafizah Mud Shukri, Muhammad Ikhwan Mahmud, Aidalina Abdul Manaf, Rosliza Big data analytics (BDA) in digital health is critical for gaining the knowledge needed to make decisions, with Asia at the forefront of utilising this technology for the Coronavirus disease 2019 (COVID-19). This review aims to study how BDA was incorporated into digital health in managing the COVID-19 pandemic in six selected Asian countries, discuss its advantages and barriers and recommend measures to improve its adoption. A narrative review was conducted. Online databases were searched to identify all relevant literature on the roles of BDA in digital health for COVID-19 preventive and control measures. The findings showed that these countries had used BDA for contact tracing, quarantine compliance, outbreak prediction, supply rationing, movement control, information update, and symptom monitoring. Compared to conventional approaches, BDA in digital health plays a more efficient role in preventing and controlling COVID-19. It may inspire other countries to adopt this technology in managing the pandemic. Faculty of Medicine and Health Sciences, Universiti Putra Malaysia 2022-07 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/98689/1/2022071815345624_MJMHS_1300.pdf Azmi, Nazmi Ainaa and Mohd Noor, Norhafizah and Mud Shukri, Muhammad Ikhwan and Mahmud, Aidalina and Abdul Manaf, Rosliza (2022) The role of big data analytics in digital health for COVID-19 prevention and control in Asia. Malaysian Journal of Medicine and Health Sciences, 18 (4). pp. 173-181. ISSN 2636-9346 https://medic.upm.edu.my/upload/dokumen/2022071815345624_MJMHS_1300.pdf 10.47836/mjmhs18.4.24
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Big data analytics (BDA) in digital health is critical for gaining the knowledge needed to make decisions, with Asia at the forefront of utilising this technology for the Coronavirus disease 2019 (COVID-19). This review aims to study how BDA was incorporated into digital health in managing the COVID-19 pandemic in six selected Asian countries, discuss its advantages and barriers and recommend measures to improve its adoption. A narrative review was conducted. Online databases were searched to identify all relevant literature on the roles of BDA in digital health for COVID-19 preventive and control measures. The findings showed that these countries had used BDA for contact tracing, quarantine compliance, outbreak prediction, supply rationing, movement control, information update, and symptom monitoring. Compared to conventional approaches, BDA in digital health plays a more efficient role in preventing and controlling COVID-19. It may inspire other countries to adopt this technology in managing the pandemic.
format Article
author Azmi, Nazmi Ainaa
Mohd Noor, Norhafizah
Mud Shukri, Muhammad Ikhwan
Mahmud, Aidalina
Abdul Manaf, Rosliza
spellingShingle Azmi, Nazmi Ainaa
Mohd Noor, Norhafizah
Mud Shukri, Muhammad Ikhwan
Mahmud, Aidalina
Abdul Manaf, Rosliza
The role of big data analytics in digital health for COVID-19 prevention and control in Asia
author_facet Azmi, Nazmi Ainaa
Mohd Noor, Norhafizah
Mud Shukri, Muhammad Ikhwan
Mahmud, Aidalina
Abdul Manaf, Rosliza
author_sort Azmi, Nazmi Ainaa
title The role of big data analytics in digital health for COVID-19 prevention and control in Asia
title_short The role of big data analytics in digital health for COVID-19 prevention and control in Asia
title_full The role of big data analytics in digital health for COVID-19 prevention and control in Asia
title_fullStr The role of big data analytics in digital health for COVID-19 prevention and control in Asia
title_full_unstemmed The role of big data analytics in digital health for COVID-19 prevention and control in Asia
title_sort role of big data analytics in digital health for covid-19 prevention and control in asia
publisher Faculty of Medicine and Health Sciences, Universiti Putra Malaysia
publishDate 2022
url http://psasir.upm.edu.my/id/eprint/98689/1/2022071815345624_MJMHS_1300.pdf
http://psasir.upm.edu.my/id/eprint/98689/
https://medic.upm.edu.my/upload/dokumen/2022071815345624_MJMHS_1300.pdf
_version_ 1751538279083147264
score 13.211869

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