TOPIC : EIC Horizon Prize for 'Early Warning for Epidemics'
|Publication date:||26 April 2018|
|Types of action:||IPr Inducement Prize|
|DeadlineModel: Opening date:||single-stage 26 April 2018||Deadline:||01 September 2020 17:00:00|
|Time Zone : (Brussels time)|
Topic DescriptionSpecific Challenge:
The challenge is to develop a scalable, reliable and cost-effective early warning system prototype to forecast and monitor vector-borne diseases in order to contribute to the prevention of outbreaks mitigating their impact on local, regional and global scales and providing support to existing elimination efforts.
According to the World Health Organisation (WHO), vector-borne diseases such as malaria, Zika, dengue or yellow fever cause more than 1 million deaths globally each year. Vectors are living organisms that can transmit infectious diseases between humans or from animals to humans. Vector-borne diseases are a global threat to public health and can have far-reaching economic and social impacts.
Climate and environmental phenomena contribute to creating the necessary conditions for these kinds of diseases to thrive. Variables such as rainfall, temperature and humidity affect the number and survival rate of mosquitoes and other vectors of diseases.
The 2030 Agenda for Sustainable Development, in the context of its Sustainable Development Goal 3 "Ensure healthy lives and promote well-being for all at all ages", aims to end the epidemics of malaria and neglected tropical diseases (amongst others) by 2030. It calls for strengthening the capacity of all countries, in particular developing countries, for early warning, risk reduction and management of national and global health risks.
The Earth Observation domain is changing with increasing amounts of data being generated from space-borne, air-borne, in-situ and citizen observatories. Effective management of big data in this domain shall be an essential element in improving the 'early warning' capabilities of any system which aims to mitigate epidemics related to vector-borne diseases. The full potential of combining all the available data is not yet harnessed and innovative solutions are needed to enable the system's wider use and exploitation in this context. Such solutions would not only help to improve the 'preparedness' and response related to vector-borne disease outbreaks, but also foster the creation of a digital solution marketplace in the domain of environmental and climate health risks.
The specific rules of the contest are published in the H2020 Participant Portal by the European Commission, which will directly launch and manage the contest and award the prize based on the judgement of independent experts.Expected Impact:
- A reliable, cost-effective and scalable early warning system prototype to forecast and monitor vector-borne diseases, which should encompass innovative technological solutions integrating big data derived from different sources (e.g. space-borne, airborne, in-situ and citizen observations) in Earth observation domain, including climate data, vector-related modelling, meteorology, and geo-located information related to vector borne disease outbreaks and behaviour. These should be interoperable with public health data and other socio-economic data.
- Demonstration of the prototype at local level, taking into account any relevant societal factors in the chosen geographical area. It should be compatible for use with data coming from existing multi-disciplinary networks comprising health, humanitarian aid and emergency management actors, in order to leverage data and information from these networks, as well as to showcase the operational potential and added value of the solution.
Topic conditions and documents
1. Eligible countries: described in part 4 of the Rules for Contest.
2. Eligibility and exclusion criteria: described in part 4 of the Rules for Contest.
The contest is open to all legal entities (i.e. natural or legal persons, including international organisations) or groups of legal entities.
Please note however that special rules may apply for entities from certain countries (see General Annex C to the Main Work Programme).
Proposal page limits and layout: Please refer to the application template below.
3. Award criteria and evaluation procedure: described in part 5 and 7 of the Rules for Contest.
The prize will be awarded, after closure of the contest, to the contestant(s) who, in the opinion of the jury, demonstrates a solution that best meets the following cumulative criteria:
- Operational capability and data integration (Max. 40pts);
- Demonstrated Implementation within an affected community (Max. 40pts);
- Scalability and sustainability of the Early-Warning Concept (Max. 20pts);
- Focus on European technology demonstration (Max. 20pts).
4. Indicative time for evaluation and award of prizes: described in part 7 of the Rules for Contest.
5. Application template:
This application template serves as an example. The template to be filled in is available after entering the submission tool below.
Members of consortium are not required to conclude a consortium agreement for this inducement prize.
6. Additional documents:
LEARs, Account Administrators or self-registrants can publish partner requests for open and forthcoming topics after logging into the Participant Portal.
To access the Electronic Submission Service of the topic, please select the type of action that is most relevant to your proposal from the list below and click on the 'Start Submission' button. You will then be asked to confirm your choice of the type of action and topic, as these cannot be changed in the submission system. Upon confirmation you will be linked to the correct entry point.
To access existing draft proposals for this topic, please login to the Participant Portal and select the My Proposals page of the My Area section.
|Type of Action||Inducement Prize [IPr]|
|Topic||EIC Horizon Prize for 'Early Warning for Epidemics' - Epidemics-EICPrize-2020|
|Guidance on proposal submission:||H2020 online manual|
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