Covid-19 Decision Making Intelligence during Disasters Management

Anita Ismail,Rosmah Mat Isa,Sakinah Ahmad Sakinah Ahmad,Nur Fatin Nabila Mohd Rafei Heng,Farah Laili Muda @ Ismail,Ainulashikin Marzuki,Nurzi Juana Mohd Zaizi

doi:10.33102/uij.vol33nos4.433

Abstract

As 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.

Highlights

The new Coronavirus epidemic has forced the closure of entire cities in China and the imposition of stringent controls in others
With the world having previously experienced numerous notable influenza pandemics, the Global Initiative on Sharing All Influenza Data (GISAID) platform was established, and it was instrumental in Chinese scientists quickly sharing information about the emergence of the COVID-19 virus
The Internet of Things (IoT) and next-generation telecommunications networks are among these digital technologies, as are big data analytics, business intelligence, artificial intelligence (AI) with deep learning, COVID-19 Data Intelligence Decision Making for Disasters Management and blockchain technology

Summary

Introduction

The new Coronavirus epidemic (formerly known as 2019-nCoV and renamed COVID19) has forced the closure of entire cities in China and the imposition of stringent controls in others. The Internet of Things (IoT) and next-generation telecommunications networks are among these digital technologies, as are big data analytics, business intelligence, artificial intelligence (AI) with deep learning, COVID-19 Data Intelligence Decision Making for Disasters Management and blockchain technology. They are inextricably linked: adoption of IoT (e.g., devices and tools) in hospitals and clinics enables the establishment of a highly connected digital ecosystem, allowing for the collection of massive amounts of real-time data that can be used by AI and deep learning systems to understand health trends, model risk associations, and predict outcomes.

Results

Conclusion