This page allows you to view existing gaps and to find out which solutions could be addressing them. If you can't find the gap that you are looking for, you can define a new one: Add CM Gap.

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Maak het eenvoudiger om CDM-oplossingen af te stemmen op capaciteitsbehoeften (DRIVER+)

  1. Maak het eenvoudiger om de capaciteitsbehoeften van de beoefenaars en de Gaps uit te drukken.
  2. Maak het eenvoudiger om  deze behoeften te begrijpen door de eigenaars van de oplossingen, zodat ze de innovatieve oplossingen die deze oplossen kunnen ontwikkelen en onder de aandacht brengen.
  3. Maak het eenvoudiger om de innovatieve oplossingen voor de -behoeften en Gaps te ontdekken.


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 is available in peacetime, policy makers can make good use of it for preparedness planning, and communication. Such a tool would need to be updated and used regularly to ensure it would be useful in a 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.


Realtime locatie van hulpverleners en gevaren (IFAFRI)

De mogelijkheid om de locatie van de hulpverleners en hun nabijheid tot 's/bedreigingen en gevaren in realtime te kennen


Bosbranden: ruimtelijke en temporele patronen van branden (DRMKC)

De beheersmaatregelen en de inzet van middelen om branden af te schrikken zijn gebaseerd op de plaatsen de wijze waarop branden zich voordoen. Begrijpen wat een gebied bijzonder brandgevoeldig maakt of niet, is niet alleen belangrijk voor het behoud van de waarden en hulpbronnen, maar ook om te voorkomen dat toekomstige managementacties, met name in gebieden waar branden zich opstapelen, niet leiden tot een grotere kwetsbaarheid voor bosbranden.



Beheer van spontane vrijwilligers (DRIVER+)

Gebreken in het beheer van spontane vrijwilligers op de plaats van de in termen van locatie, taaktoekenning, capaciteiten en duur van de dienst.


Coördinatie in het omgaan met grote aantallen ernstig verbrande slachtoffers (DRIVER+)

Gebrek aan een doelmatig coördinatiemechanisme om de beperkte te overwinnen om grote aantallen van ernstig verbrande slachtoffers aan te kunnen op lidstaatniveau


Handhaaf interoperabele communicatie met hulpverleners in alle omgevingsomstandigheden. (IFAFRI)

De mogelijkheid om interoperabele communicatie te handhaven met de hulpverleners in alle omgevingsomstandigheden.


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 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 , 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