Auf dieser Seite können Sie bestehende Krisenmanagement Gaps einsehen und herausfinden, mit welchen Lösungen sie geschlossen werden könnten. Wenn Sie die gesuchte Lücke nicht finden können, können Sie eine neue definieren: Eine KM-Gap hinzufügen.

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Ermöglichen eines Abgleichs von CDM-Lösungen mit den erforderlichen Fähigkeiten (DRIVER+)

  1. Ermöglichen, dass Fähigkeitsanforderungen und Capability Gap der Fachkräfte ausgedrückt werden
  2. Ermöglichen, dass die Lösungsverantwortlichen diese Bedürfnisse verstehen, so dass sie die innovativen Lösungen, die diese Bedürfnisse lösen, entwickeln und bewerben können.
  3. Ermöglichen, dass die innovativen Lösungen, die die -Bedürfnisse und Gaps ansprechen, entdeckt werden.


Forecasting the development of an evolving epidemic or pandemic is challenging. Data from the early stages of an epidemic is often sparse and many times biased. However, during an ongoing epidemic, information on the potential impact is demanded by the public, media and decision makers.  There is a need for standardized tools that can forecast the course of an epidemic or pandemic. Since the development of such software is time consuming, there is insufficient time to do this during an evolving epidemic. If the tool is available in peacetime, policy makers can make good use of it for preparedness planning, training and communication. Such a tool would need to be updated and used regularly to ensure it would be useful in a crisis situation. Forecasts are never better than the data they are based on. New methods to tackle initial uncertainty surrounding epidemiological parameters are therefore needed. Not only the quality of data, but also the coverage is important. Therefore, data sources on disease burden at all levels of society is needed as input into the modelling tool.


Lokalisierung der Einsatzkräfte und der Gefahren in Echtzeit (IFAFRI)

Die , den Standort von Einsatzkräften und ihre Nähe zu Risiken bzw. Bedrohungen sowie Gefahren in Echtzeit zu kennen


Waldbrände: räumliche und zeitliche Brandmuster (DRMKC)

Managementmaßnahmen und der Einsatz von Ressourcen zur Verhinderung von Bränden beruhen auf der Frage wo und wann Brände entstehen. Verstehen, was dazu führt, dass ein Bereich besonders feuergefährdet ist oder auch nicht, ist nicht nur wichtig für das Bewahren seiner Werte und Ressourcen, sondern auch für die , dass zukünftige Maßnahmen, insbesondere in Bereichen, wo sich Brände häufen, nicht zu einer erhöhten Anfälligkeit für Flächenbrände führen.



Betreuung von Spontanhelfern (DRIVER+)

Unzulänglichkeiten bei der Betreuung von Spontanhelfern am Krisenort in Bezug auf Aufgabenerteilung, Fähigkeiten und Länge der Schicht.


Die Koordination im Umgang mit einer großen Anzahl von Brandopfern mit schweren Verbrennungen (DRIVER+)

Das Fehlen eines effizienten Koordinationsmechanismus zur Überwindung der begrenzten Kapazität zur Umgang mit einer großen Anzahl von Brandopfern mit schweren Verbrennungen auf der Ebene der Mitgliedsstaaten


Aufrechterhalten interoperabler Kommunikationsflüsse mit den Einsatzkräften in allen Umweltbedingungen (IFAFRI)

Die zum Aufrechterhalten interoperabler Kommunikationsflüsse mit den Einsatzkräften in allen Umweltbedingungen


Forest fires: Land, Aerial and Space Detection (DRMKC)

In extreme weather conditions, a fire start can rapidly develop into a large and intense wildfire with catastrophic effects. Timely and accurate detection requires the integration of fire behaviour and forest knowledge at strategic and tactical levels.


One of the initial challenges is to identify workforce gaps and the diversity and balance of disciplines required to counter infectious disease threats. Many health systems would benefit from systematically and dynamically quantifying and monitoring their own workforce shortages and assess the core competencies required to perform essential epidemic/pandemic response functions. Enumeration studies of this work force in Europe are hampered by the different systems and nomenclature used in the different Member States.


Pandemic management depends on adequate core capacities to prepare and respond to infectious disease threats in every country. In order to respond effectively to a pandemic, a knowledgeable skilled, effective and networked workforce with the right skill mix is essential. It has long been recognised that the best way to prevent the global spread of diseases is to detect and contain them while they are still local. This implies the presence of a local well trained public health workforce. A challenge identified is the difficulty in ensuring training reaches down to the local level. Unfortunately, experience has shown us that not all outbreaks will be detected and controlled while they are still local and we need to better prepare for large-scale epidemics and pandemics. The challenge then becomes one of integrating the response across sectors and wider geographical areas. Inter-sectoral and transnational simulation exercises can help to enhance the interoperability of preparedness plans of the different sectors such as civil protection, transport etc. can stimulate national training. Multi-country simulation exercises which would promote cross-border collaboration could prove to be a good investment and would support Article 4 of the EU Decision 1082/2013 on serious cross-border threats to health.


Forest fires: Wildland-Urban Interface (WUI) (DRMKC)

Wildland–urban and rural–urban interfaces are the spatial manifestation of the coupling of fire and people, and the most proximate scale of exposure and risk mitigation The abandonment of rural lands and the expansion of urban areas led to the creation of important interfaces between built infrastructures and vegetation with high fuel load that, when burning, create very significant threats to people and make firefighting and other civil protection operations much more difficult to coordinate.


While many functional networks for pandemic preparedness and response exist within the EU, gaps have been identified in cross sectoral readiness and networking that can at least be partially addressed though multi-disciplinary, multi-sectoral and multinational joint simulation exercises that would bring players together with the specific objectives of:

  • Stimulating broader collaboration and networking for pandemic readiness
  • Testing existing preparedness plans and processes
  • Testing inter-sectoral coordination, integration and effectiveness
  • Identifying weaknesses and gaps
  • Providing training, learning and knowledge sharing opportunities at all levels.
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DRIVER+ project has received funding from the European Union's 7th Framework Programme for Research,
Technological Development and Demonstration under Grant Agreement (GA) N° #607798