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

Authors :
SPAGNOLO LUIGI
ABDELMALIK PHILIP
DOHERTY BRIAN
FABBRI MARCO
LINGE JENS
MARIN FERRER MONTSERRAT
MOUSSAS CHARALAMBOS
OSATO FRANCESCO
PETRILLO MAURO
POLJANSEK KARMEN
SCHNITZLER JOHANNES
VERNACCINI LUCA
Publication Year :
2020
Publisher :
Publications Office of the European Union, 2020.

Abstract

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.<br />JRC.E.1-Disaster Risk Management

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.od......1739..892078dfff97713df82543f0414559b9