Covid-19 outbreak in Malaysia: data sharing benefits during pandemic
Real epidemiology data related to cases during Covid-19 pandemic is very crucial. In epidemiology, both descriptive and analytic reports on confirmed cases are essential for the purpose of modelling, infection disease management, prevention, surveillance as well as knowledge dissemination. Prec...
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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/98121/1/2022011912153242_MJMHS_0633.pdf |
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author | Osman, Malina Awang Hamat, Rukman |
author_facet | Osman, Malina Awang Hamat, Rukman |
author_sort | Osman, Malina |
collection | UPM |
description | Real epidemiology data related to cases during
Covid-19 pandemic is very crucial. In epidemiology,
both descriptive and analytic reports on confirmed cases
are essential for the purpose of modelling, infection
disease management, prevention, surveillance as well
as knowledge dissemination. Precise measurement of
the factors that influences the course of an epidemic is
necessary (1), therefore elements included in forecasted
data should be based on real situations in the fields. |
first_indexed | 2024-03-06T11:07:47Z |
format | Article |
id | upm.eprints-98121 |
institution | Universiti Putra Malaysia |
language | English |
last_indexed | 2024-03-06T11:07:47Z |
publishDate | 2022 |
publisher | Faculty of Medicine and Health Sciences, Universiti Putra Malaysia |
record_format | dspace |
spelling | upm.eprints-981212022-08-11T03:53:52Z http://psasir.upm.edu.my/id/eprint/98121/ Covid-19 outbreak in Malaysia: data sharing benefits during pandemic Osman, Malina Awang Hamat, Rukman Real epidemiology data related to cases during Covid-19 pandemic is very crucial. In epidemiology, both descriptive and analytic reports on confirmed cases are essential for the purpose of modelling, infection disease management, prevention, surveillance as well as knowledge dissemination. Precise measurement of the factors that influences the course of an epidemic is necessary (1), therefore elements included in forecasted data should be based on real situations in the fields. Faculty of Medicine and Health Sciences, Universiti Putra Malaysia 2022-01 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/98121/1/2022011912153242_MJMHS_0633.pdf Osman, Malina and Awang Hamat, Rukman (2022) Covid-19 outbreak in Malaysia: data sharing benefits during pandemic. Malaysian Journal of Medicine and Health Sciences, 18 (1). p. 330. ISSN 2636-9346 https://medic.upm.edu.my/upload/dokumen/2022011912153242_MJMHS_0633.pdf |
spellingShingle | Osman, Malina Awang Hamat, Rukman Covid-19 outbreak in Malaysia: data sharing benefits during pandemic |
title | Covid-19 outbreak in Malaysia: data sharing benefits during pandemic |
title_full | Covid-19 outbreak in Malaysia: data sharing benefits during pandemic |
title_fullStr | Covid-19 outbreak in Malaysia: data sharing benefits during pandemic |
title_full_unstemmed | Covid-19 outbreak in Malaysia: data sharing benefits during pandemic |
title_short | Covid-19 outbreak in Malaysia: data sharing benefits during pandemic |
title_sort | covid 19 outbreak in malaysia data sharing benefits during pandemic |
url | http://psasir.upm.edu.my/id/eprint/98121/1/2022011912153242_MJMHS_0633.pdf |
work_keys_str_mv | AT osmanmalina covid19outbreakinmalaysiadatasharingbenefitsduringpandemic AT awanghamatrukman covid19outbreakinmalaysiadatasharingbenefitsduringpandemic |