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Eco-Epidemiological Intelligence for early Warning and response to mosquito-borne disease risk in Endemic and Emergence settings

Project description

New tools to predict outbreak of mosquito-borne diseases

Warmer temperatures (thanks to climate change) help disease-carrying mosquitos breed faster. Increasing in prevalence, geographical distribution and severity, mosquito-borne diseases represent a growing societal and economic threat globally. There is a growing need for better disease intelligence to help anticipate and identify eco-epidemiological risks that could potentially result in epidemics. Such intelligence requests understanding the complex interaction between humans, pathogen-carrying mosquitoes, pathogen reservoirs (birds) and a changing environment. The EU-funded E4Warning project will combine innovative eco-epidemiological modelling tools and intelligent digital solutions, co-designed and implemented by public health administrations, connecting humans, mosquitoes and birds to deliver early warnings and potential for response to mosquito-borne disease risk.

Objective

Mosquito-borne diseases place a heavy burden on society, causing widespread suffering and driving poverty. They are increasing in prevalence, geographical distribution and severity, representing a growing threat worldwide. Hence, there is a need for better disease intelligence, capable of anticipating and identifying eco-epidemiological risks leading to explosive epidemics and emergence in previously unaffected areas. The basis of such intelligence stems from a deep understanding of the factors that drive disease circulation, emergence and spread. This requires insights into the complex interplay between humans, pathogen-carrying mosquitoes, pathogen reservoirs (e.g. birds), and a changing environment. The E4Warning consortium brings together interdisciplinary, innovative, and open science to contribute to the One Health paradigm shift that is required to tackle the spread and transmission of zoonotic deadly pathogens, and harness this shift to nowcast and forecast mosquito-borne disease risk in a constantly changing and globally connected environment. Our work aims to disrupt disease transmission pathways connecting humans, mosquitoes, and birds through innovative eco-epidemiological modelling tools and intelligent digital solutions, co-designed and implemented by public health administrations. Open innovation strategies and big data tools are the cornerstone of the next-level One Health Early Warning Systems required in the face of mounting mosquito-borne disease threats.

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Programme(s)

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Topic(s)

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Funding Scheme

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HORIZON-RIA - HORIZON Research and Innovation Actions

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-CL6-2022-GOVERNANCE-01

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Coordinator

AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICAS
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 997 700,00
Address
CALLE SERRANO 117
28006 MADRID
Spain

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Region
Comunidad de Madrid Comunidad de Madrid Madrid
Activity type
Research Organisations
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 997 700,00

Participants (7)

Partners (4)

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