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Covid-19 Decision Making Intelligence during Disasters Management

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dc.contributor.authorAnita Binti Ismailen_US
dc.contributor.authorRosmah Binti Mat Isaen_US
dc.contributor.authorFarah Laili Muda @ Ismailen_US
dc.contributor.authorAinulashikin Binti Marzukien_US
dc.contributor.authorNurzi Juana Binti Mohd Zaizien_US
dc.contributor.authorNur Fatin Nabila Binti Mohd Rafei Hengen_US
dc.contributor.authorSakinah Binti Ahmaden_US
dc.date.accessioned2024-05-30T02:22:32Z
dc.date.available2024-05-30T02:22:32Z
dc.date.issued2021
dc.description.abstractAs the coronavirus (COVID-19) spreads from China to neighbouring areas and beyond, increased national and international efforts are underway to contain the epidemic. Humanity is increasingly confronted with a diverse array of man-made and natural disasters. While emergency circumstances cannot be avoided, they may be managed more efficiently. Effective emergency management requires thorough planning, informed reaction, and well-coordinated actions throughout the emergency management life cycle. According to the literature, data-driven emergency management information systems that are well-integrated help in disaster management operations. Recent advances in molecular and computational techniques, as well as in information and communication technologies (ICTs), artificial intelligence (AI), and Big Data, can assist in managing the massive, unprecedented amount of data generated by public health surveillance, real-time epidemic outbreak monitoring, trend nowcasting/forecasting, routine situation briefing and updating from governmental institutions and organisms, and health facility utilisation. This study could be tailored to assist organisations in adapting to their new normal.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.doi10.33102/uij.vol33noS4.433
dc.identifier.epage49
dc.identifier.issn2289-4799
dc.identifier.issueS4
dc.identifier.spage41
dc.identifier.urihttps://uijournal.usim.edu.my/index.php/uij/article/view/433
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/15895
dc.identifier.volume33
dc.language.isoen_USen_US
dc.publisherUSIM Pressen_US
dc.relation.ispartofULUM ISLAMIYYAH: Malaysian Journal of Islamic Sciencesen_US
dc.subjectCOVID-19, Disaster Management, Decision Making, Intelligence, Databaseen_US
dc.titleCovid-19 Decision Making Intelligence during Disasters Managementen_US
dc.typeArticleen_US
dspace.entity.typePublication

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