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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Faculty of Medicine and Health Sciences, Universiti Putra Malaysia
2022
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| Online Access: | http://psasir.upm.edu.my/id/eprint/98689/ http://psasir.upm.edu.my/id/eprint/98689/1/2022071815345624_MJMHS_1300.pdf |
| _version_ | 1848862931966492672 |
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| author | Azmi, Nazmi Ainaa Mohd Noor, Norhafizah Mud Shukri, Muhammad Ikhwan Mahmud, Aidalina Abdul Manaf, Rosliza |
| author_facet | Azmi, Nazmi Ainaa Mohd Noor, Norhafizah Mud Shukri, Muhammad Ikhwan Mahmud, Aidalina Abdul Manaf, Rosliza |
| author_sort | Azmi, Nazmi Ainaa |
| building | UPM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T13:24:52Z |
| format | Article |
| id | upm-98689 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T13:24:52Z |
| publishDate | 2022 |
| publisher | Faculty of Medicine and Health Sciences, Universiti Putra Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-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 |
| 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 |
| title | 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_short | 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 |
| url | http://psasir.upm.edu.my/id/eprint/98689/ http://psasir.upm.edu.my/id/eprint/98689/ http://psasir.upm.edu.my/id/eprint/98689/ http://psasir.upm.edu.my/id/eprint/98689/1/2022071815345624_MJMHS_1300.pdf |