Integration of the Epidemic Intelligence from Open Sources (EIOS) and the INFORM suite: Enhancing early warning with contextual data for informed decision making

The COVID-19 pandemic event has shown how communicable diseases can spread faster and wider than ever before due to globalisation. The early detection of threats plays a crucial role to reduce their impact. It is essential to combine alert systems with contextual information for triggering adequate measures that may prevent or mitigate the risk in a timely manner. This report illustrates how early warning and rapid assessment activities can be supported by the systematic collection and analysis of publicly available information from official sources and the media.JRC.E.1-Disaster Risk Managemen

Disasters Preparedness and Emergency Response: Prevention, Surveillance and Mitigation Planning

This Special Issue welcomes research papers on new approaches that have been applied or are under development to improve preparedness and emergency response. We especially encourage the submission of inter-disciplinary and crosscutting research. We also encourage the submission of manuscripts that focus on various types of disasters, disaster and emergency research, and on policy or management solutions at multiple scales