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. 2022 Apr 12;9(1):166.
doi: 10.1038/s41597-022-01273-x.

Developing a large-scale dataset of flood fatalities for territories in the Euro-Mediterranean region, FFEM-DB

Katerina Papagiannaki  1 , Olga Petrucci  2 , Michalis Diakakis  3 , Vassiliki Kotroni  4 , Luigi Aceto  2 , Cinzia Bianchi  5 , Rudolf Brázdil  6   7 , Miquel Grimalt Gelabert  8 , Moshe Inbar  9 , Abdullah Kahraman  10 , Özgenur Kılıç  11 , Astrid Krahn  12 , Heidi Kreibich  12 , Maria Carmen Llasat  13 , Montserrat Llasat-Botija  13 , Neil Macdonald  14 , Mariana Madruga de Brito  15 , Michele Mercuri  16 , Susana Pereira  17   18 , Jan Řehoř  6   7 , Joan Rossello Geli  8 , Paola Salvati  5 , Freddy Vinet  19 , José Luis Zêzere  17   18
Affiliations

Developing a large-scale dataset of flood fatalities for territories in the Euro-Mediterranean region, FFEM-DB

Katerina Papagiannaki et al. Sci Data. .

Abstract

This data paper describes the multinational Database of Flood Fatalities from the Euro-Mediterranean region FFEM-DB that hosts data of 2,875 flood fatalities from 12 territories (nine of which represent entire countries) in Europe and the broader Mediterranean region from 1980 to 2020. The FFEM-DB database provides data on fatalities' profiles, location, and contributing circumstances, allowing researchers and flood risk managers to explore demographic, behavioral, and situational factors, as well as environmental features of flood-related mortality. The standardized data collection and classification methodology enable comparison between regions beyond administrative boundaries. The FFEM-DB is expandable, regularly updated, publicly available, and with anonymized data. The key advantages of the FFEM-DB compared to existing datasets containing flood fatalities are its high level of detail, data accuracy, record completeness, and the large sample size from an extended area.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Conceptual model showing the advantages and limitations of existing flood mortality databases and the trade-off between dataset size and detail level, in comparison to the intended position of the FFEM-DB database proposed by the present study.
Fig. 2
Fig. 2
FFEM-DB study areas, in blue. BAL: Balearic Islands; CAT: Catalonia; CYP: Cyprus; CZE: Czech Republic; SFR: Southern France; GER: Germany; GRE: Greece; ISR: Israel; ITA: Italy; POR: Portugal; TUR: Turkey; and UK: United Kingdom.
Fig. 3
Fig. 3
Flood fatalities (FFs) at the NUTS 3 level across the FFEM-DB study areas.
Fig. 4
Fig. 4
Number of flood fatalities (FFs) in FFEM-DB and the respective estimates of the four disaster databases (EM-DAT, DFA, EPF, and HANZE-E).
See this image and copyright information in PMC

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