Event-based Surveillance data (EBS)

Event-based Surveillance data (EBS)

Epidemic intelligence integrates two components: indicator-based (e.g. official disease reports), and event-based surveillance (EBS) which looks at reports, stories, rumours, and other information about health events that could be a serious risk to public health. Because they are based on published reports which take time to produce and lack geographical precision, EBS tools may miss the first signals of the (re)-emergence of infectious diseases, as they may lack timeliness and spatial resolution. 


A limited version is available with free access for research or web monitoring. To get access to advanced functionalities and extended data, please do not hesitate to contact padi-web@cirad.fr

PADI-web automatically collects news with customized queries, classifies them and extracts epidemiological information (diseases, dates, symptoms, hosts and locations). Watch this video to learn more! Click here to visit the official website


Mathieu Roche (CIRAD) – text mining
Pascal Poncelet (LIRMM) – visualization
Elena Arservska (CIRAD) – epidemiology

Epid-Data Platform

Commissioned by the MOOD project to provide a visual analytics platform, the Montpellier Laboratory of Computer Science, Robotics and Microelectronics (LIRMM) developed the Epid Data Explorer, an epidemiological data visualization platform that aims to better understand the spatial and temporal evolutions associated with epidemics.

Datasets can be visualized on two different maps with several features to facilitate exploration. Under each window, a drop-down list allows you to select both the data sets to be analyzed and also the desired variables. A timeline can be used to select the dates that will be displayed on the maps. Tooltips allow one to explore the temporal evolution of the selected variable for a given map area.

Pascal Poncelet (ADVanced Analytics for data SciencE)
Laetitia Viau
Nancy Rodriguez
Pierre Pompidor

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