Covid-19 Data Intelligence Decision Making For Disasters Management

As 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.