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Equal-Life

Financiado

Cerrado

Early Environmental quality and life course mental health effects

EQUAL-LIFE will develop and test combined exposure data using a novel approach to multi-modal exposures and their impact on children’s mental health and development. A combination of birth-cohort data with new sources of data, wil... ver más

31/12/2024

RIVM

12M€

Presupuesto del proyecto: 12M€

Líder del proyecto

RIJKSINSTITUUT VOOR VOLKSGEZONDHEID EN MILIEU No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 23 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2024-12-31

SC1-BHC-28-2019: The Human Exposome Project: a toolb...

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Cerrada hace 5 años

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Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

23 Participantes

RIVM

1.90M€ | Lider

ST GEORGES HOSPITAL MEDICAL...

343.27K€ | Participante

781.27K€ | Participante

ZEUS

531.25K€ | Participante

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Duración del proyecto: 60 meses Fecha Inicio: 2019-12-06
Fecha Fin: 2024-12-31

Líder del proyecto

RIJKSINSTITUUT VOOR VOLKSGEZONDHEID EN MILIEU No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 12M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto EQUAL-LIFE will develop and test combined exposure data using a novel approach to multi-modal exposures and their impact on children’s mental health and development. A combination of birth-cohort data with new sources of data, will provide insight into aspects of physical and social exposures hitherto untapped. It will do this at different scale levels and timeframes, while accounting for the distribution of exposures in social groups based on gender, ethnicity, social vulnerability. Beginning with child development and mental health, a set of theory-based questions is formulated, a wide range of relevant environmental and social hazards is defined and validated at the stakeholders end. Exposure assessment combines traditional GIS-based approaches with omics approaches and new sources of data that could explain aspects of the urban environment at a higher spatial and temporal granularity, and provide insight into untapped parameters relating to exposure (spatial quality of neighborhoods). These together form the early-life exposome. Statistical tools integrate data at different scale levels and times and combine e.g. machine learning, causal models with subgroups measures. EQUAL-LIFE uses data from birth-cohorts, longitudinal school data sets and cross-sectional studies (N=>250.000), including data on exposures, biomarkers, mental health and developmental outcomes, in their social context. EQUAL-LIFE contributes to the development/utilization of the exposome concept by 1) integrating the internal, external and social exposome 2) by studying a distinct set of effects on a child’s development and mental health 3) by characterizing/measuring/modelling the child’s environment at different stages and activity spaces 4) by looking at supportive environments for child development, rather than merely pollutants 5) by combining physical, social indicators with novel biomarkers and using new data sources describing child activity patterns and environments. EQUAL-LIFE is part of the European Human Exposome Network comprised of nine projects selected from this same call.

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