Publication:
Covid-19 Data Intelligence Decision Making For Disasters Management

Simple item page
dc.contributor.authorAnita Ismailen_US
dc.contributor.authorRosmah Mat Isaen_US
dc.contributor.authorFarah Laili Muda @ Ismailen_US
dc.contributor.authorAinulashikin Marzukien_US
dc.contributor.authorNurzi Juana Mohd Zaizien_US
dc.contributor.authorNur Fatin Nabilai Mohd Rafei Hengen_US
dc.contributor.authorSakinah Ahmaden_US
dc.date.accessioned2024-05-31T02:12:35Z
dc.date.available2024-05-31T02:12:35Z
dc.date.issued2020-10-15
dc.description3 rd INTERNATIONAL SEMINAR ON ISLAM AND SCIENCE 2020 (SAIS 2020) COVID-19: IMPLICATION, IMPACT AND SOLUTION Date: 15 October 2020 Organized by: Persatuan Kakitangan Akademik USIM (PKAUSIM) In Collaboration with: International Halal and Fatwa Centre (iFFAH) & Fakulti Syariah dan Undang-Undang (FSU) Vol. 33 No. S4 (2021): ULUM ISLAMIYYAH The Malaysian Journal of Islamic Sciencesen_US
dc.description.abstractAs the Coronavirus (COVID-19) expands its impact from China, expanding its catchment into surrounding regions and other countries, increased national and international measures are being taken to contain the outbreak. Humans are increasingly confronted with numerous forms of man-made and natural emergency situations. Emergency situations cannot be prevented, but they can be better managed. Successful management of emergency situations requires proper planning, guided response and well-coordinated efforts throughout the life cycle of emergency management. Literature suggests that emergency management efforts benefit from a well-integrated data-based emergency management information system. the latest advancements in the field of molecular and computational techniques and information and communication technologies (ICTs), artificial intelligence (AI) and Big Data can help in handling the huge, unprecedented amount of data derived from public health surveillance, real-time epidemic outbreaks monitoring, trend now-casting/forecasting, regular situation briefing and updating from governmental institutions and organisms, and health facility utilization information. This perspective paper, proposing networks should work towards enhancing standardization protocols for increased data sharing in the event of outbreaks or disasters, leading to better global understanding and management of the same. This study can be adapted to help organiztions facing with the new normal in their organization.en_US
dc.identifier.citationIsmail, A., Mat Isa, R., Muda @ Ismail, F. L., Marzuki, A., Mohd Zaizi, N. J., Mohd Rafei Heng, N. F. N., & Sakinah Ahmad. (2021). Covid-19 Decision Making Intelligence during Disasters Management. Ulum Islamiyyah, 33(S4), 41-49. https://doi.org/10.33102/uij.vol33noS4.433en_US
dc.identifier.epage1375
dc.identifier.epage49
dc.identifier.isbneISBN : 9789674408367
dc.identifier.issn1675-5936
dc.identifier.issneISSN: 2289-4799
dc.identifier.issueS4
dc.identifier.spage1368
dc.identifier.spage41
dc.identifier.urihttps://uijournal.usim.edu.my/index.php/uij/article/view/433
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/18350
dc.identifier.volume33
dc.language.isoen_USen_US
dc.publisherUniversiti Sains Islam Malaysiaen_US
dc.relation.conferenceE-Proceeding : Seminar Antarabangsa Islam Dan Sains (SAIS 2020)en_US
dc.relation.ispartofUlum Islamiyyah: Malaysian Journal of Islamic Sciencesen_US
dc.subjectCOVID-19, Database, Intelligence, Decision Making, Disaster Managementen_US
dc.titleCovid-19 Data Intelligence Decision Making For Disasters Managementen_US
dc.typeArticleen_US
dspace.entity.typePublication

Files

Original bundle
Now showing 1 - 2 of 2
Thumbnail Image
Name:
COVID-19 DATA INTELLIGENCE DECISION MAKING FOR DISASTERS.pdf
Size:
167.72 KB
Format:
Adobe Portable Document Format
Download
Thumbnail Image
Name:
Covid-19 Decision Making Intelligence during Disasters Management.pdf
Size:
235.29 KB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Plain Text
Description:
Download

Collections

2020 SAIS