Anita Binti IsmailRosmah Binti Mat IsaFarah Laili Muda @ IsmailAinulashikin Binti MarzukiNurzi Juana Binti Mohd ZaiziNur Fatin Nabila Binti Mohd Rafei HengSakinah Binti Ahmad2024-05-302024-05-302021Ismail, 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.vol33noS4.4332289-479910.33102/uij.vol33noS4.433https://uijournal.usim.edu.my/index.php/uij/article/view/433https://oarep.usim.edu.my/handle/123456789/15895As 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-USCOVID-19, Disaster Management, Decision Making, Intelligence, DatabaseArticle414933S4