- Faciliate expressing the practitioners needs and Gaps.
- Faciliate the understanding of these needs by owners, so that they can develop and advertise the innovative Solutions resolving them.
- Faciliate discovering of the innovative Solutions addressing the needs and Gaps.
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 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 planning, and communication. Such a would 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.
Lack of a “Common Operational Picture” environment to integrate data sources and calculation results from different models that are crucial for decision making process from the perspective of the incident commander.
Despite advances in technology and tools to increase situational awareness in the areas of surveillance, a number of gaps and importantly new opportunities to leverage, test and implement new and innovative approaches have been identified. The concepts proposed seek to enhance significantly the situational awareness and decision support capabilities within the EU to:
- Gather, process and analyse data at the community level thereby giving vital lead time in event detection and the capacity to measure and track the societal and economic impacts of pandemics in future.
- Enhance EU and Member State capacity to analyse and visualise data by developing visual analytic tools that can be targeted at experts, decision makers, front line workers and .
- Carry out sophisticated predictive/prognostic modelling to examine likely scenarios in the development of a high impact epidemic/pandemic including morbidity, mortality, extent and rate spread as well as the impact of countermeasures.
- Get ahead of the next pathogen jump by supporting the development and integration of the next generation of laboratory services and diagnostics.
Limitations in the cross vulnerabilities (people, property, environment) to optimize task prioritization and decision making.
The ability to obtain critical information remotely about the extent, perimeter, or interior of the incident
The Ability to Incorporate Information from Multiple and Nontraditional Sources into Incident Command Operations
The ability to conduct on-scene operations remotely without endangering responders
Barriers in to provide medical assistance to casualties either by transporting them to a safe place or bringing medical service to the scene (when medical care is not provided by firefighters’ units) - especially in forest fires.
Limitations in the planning of resources (qualified personnel and equipment) for during large scale and long-term
Insufficiency in the ability to report dangerous areas and situation overview from multiple and non-traditional sources (e.g. crowdsourcing and social media) into operations.
DRIVER+ project has received funding from the European Union's 7th Framework Programme for Research,