Outreach

Peer-reviewed publications

Torres Munguía, Juan Armando; Badarau, Florina Cristina; Díaz Pavez, Luis Rodrigo; Martínez-Zarzoso, Inmaculada; Wacker, Konstantin M. (2022). A global dataset of pandemic- and epidemic-prone disease outbreaks. Scientific data, 9 (1). DOI: 10.1038/s41597-022-01797-2. Retrieved from: https://www.nature.com/articles/s41597-022-01797-2

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Awards & nominations

ENLIGHT Open Science Award 2023
Falling Walls Science Breakthrough of the Year 2023 in Science & Innovation Management

Events

A global dataset of pandemic- and epidemic-prone disease outbreaks. EM-DAT International Disaster Database. Scientific & Technical Advisory Group (STAG) Meeting, March 18, 2024. Potchefstroom, South Africa. Presentation here!

A global dataset of pandemic- and epidemic-prone disease outbreaks. ENLIGHT Open Science Award Ceremony 2023, May 11, 2023. Presentation here!

Media articles

Predicting epidemics isn’t easy: Researchers have created a global dataset to help in Medical Xpress on April 18, 2023. Read here!

Predicting epidemics isn’t easy. We’ve created a global dataset to help in Beijing Bulletin on April 18, 2023. Read here!

Predicting epidemics isn’t easy. We’ve created a global dataset to help in The Conversation on April 17, 2023. Read here!

Predicting epidemics isn’t easy. We’ve created a global dataset to help in UNDRR PreventionWeb on April 17, 2023. Read here!

Congratulations to the winners of the Open Science Award 2023! in ENLIGHT on March 31, 2023. Read here!

ENLIGHT funded research publishes an accessible, open, global dataset of pandemic- and epidemic-prone disease outbreaks in Springer Nature’s Scientific Data in ENLIGHT on February 06, 2023. Read here!

From unstructured administrative records to an accessible, open, global dataset of pandemic- and epidemic-prone disease outbreaks in Springer Nature Research Communities on November 11, 2022. Read here!