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Our Tools

The work in Equal-Life is organized into twelve work packages (WPs). Follow and explore the tools developed. Hover over a work package on the map for more details about the connections and tools.

Define and Test

We develop conceptual models and definition of the mechanisms of how the physical and social environment impact the mental health and cognitive development in children and young adults aged 0 to 21 years.

Theory and In- depth studies

We discover novel internal biomarkers in relation to children’s mental health. What is a biomarker? How biomarkers are used in Equal-Life?

Explore our biological protocols

Internal Exposome

Collect, measure, model

We create a detailed description of the external exposome by developing comprehensive data and open-source models for the built and natural environments, air pollution, and noise.

Physical
Exposome

We construct an enriched description of the external exposome by developing detailed data and new, open-source models for the built- and natural- environments, air pollution, and noise.

Social exposome

We develop novel methods for exposome data collection and enrichment, based on new and complementary data sources. It aims to offer new insights into aspects of the built and natural environment that are not covered by conventional datasets.

Multimodal data collection and enrichment

Algorithms for Data analysis

We develop and apply machine learning and other statistical methods to model the relationship between exposome and mental health and cognitive development in children, including moderation and mediating effects.

Integrative data analysis and modelling

We examined the mental health and cognitive and social development impacts of integrated exposures using cohort and school study data through targeted and untargeted evaluations. Our objectives include  harmonise cohorts and school studies data for analysis, analyse specific research questions, jointly assessing results and delivering recommendations. 

Health data match and health effect analysis

Health effect analysis

Inform and Involve

We focus on stakeholder involvement and intervention development, including creating a toolkit for stakeholders to facilitate interventions. Additionally, we develop tools for participatory activities, frameworks, and guidance aimed at raising awareness about the exposome.

Stakeholder involvement and preparation of interventions

Find your Tool

Enrichment tools

The Urban Analytics Lab offers services to support urban transitions towards a healthier, fairer, and sustainable future for everyone. They develop human-centered metrics and indicators for benchmarking cities' progress towards achieving sustainability, health, and equity goals

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Glossary

Too many words? use the glossary to clarify concepts and look up definitions

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Traffic Model

Statistical models to predict road traffic counts

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Noise Model

Explore the CNOSOS noise prediction methodology within the Equal-Life project

Tool to support interventions

Use conceptual Framework of the Social Exposome to plan intervention

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Extensive map of Equal Life Components

A tool to map connection among the components identified in Equal Life

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Biomarker protocols

What is a biomarker and what biomarker are used in Equal-Life and How. Explore our biological protocols

Data collection protocols

Life cycle protocols for data collection.

Exposure effect estimation

In Equal-Life we use many statistical approch to estimate the exposures effect. Check the library that we create or use to support our statistical analysis

EHEN Catalogue

What is the EHEN catalogue and how to use it. Explore more Exposome project through their metadata

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