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Exposome Risk Predictor

Development Pipeline & Technical Architecture

A comprehensive overview of the scientific methodology, technical implementation, and development phases of our environmental risk assessment platform

Pipeline Legend

Phase 1: Concept & Architecture
Phase 2: UI/UX Development
Phase 3: Map Implementation
Phase 4: API Integration
Phase 5: Risk Analysis System
1

Concept & Architecture

Foundation and technical blueprint

Goal: Real-time environmental risk analysis system
Scope: Location-based environmental risk assessment
Technical Architecture:
HTML5
CSS3
JavaScript
Leaflet.js
Key Features:
Postal code analysis
Interactive map clicks
Lifestyle questionnaire
Scientific scoring system
Real-time data visualization
CSV report export
2

UI/UX Development

Design system and interface components

Design System:
CSS Variables for consistency
Risk-based color palette
Responsive grid system
Components:
.data-card
.risk-category
.input-group
.alert
.loading-overlay
Layout: Two-column grid (450px + 1fr)
Responsive: Mobile-first design
3

Map Implementation

Interactive geospatial visualization

Map System: Leaflet.js with OpenStreetMap
Initial View: Europe centered, zoom level 5
Available Layers:
OpenStreetMap (default)
Satellite (ArcGIS)
Hybrid (recommended)
Features:
Click-based location analysis
Dynamic marker updates
Informative popups
Layer controls
Interactive help button
4

API Integration

Real-time data from multiple sources

APIs Used:
OpenCage
Open-Meteo
OpenAQ
REST Countries
Data Types:
Geocoding & reverse geocoding
Weather data (temp, humidity, wind)
Air quality (PM2.5, PM10)
Country statistics
Fallback System:
Location-based estimates
Industrial area detection
Regional pattern estimates
5

Risk Analysis System

Scientific methodology for risk assessment

Based On: WHO & EEA guidelines
Risk Categories:
Weather Risk (20% weight)
Air Quality Risk (40% weight)
Environmental Risk (30% weight)
Country Risk (10% weight)
Scoring: Weighted average 0-100
Risk Levels:
Very Low (≤15)
Low (≤35)
Moderate (≤55)
High (≤75)
Very High (≤90)
Extreme (>90)
6

Socioeconomic Data

Eurostat 2023/2024 database

Coverage: 27 European countries
Data Points per Country:
Population & demographics
GDP per capita
Unemployment rate
Life expectancy
Air pollution deaths
Renewable energy share
Average PM2.5 levels
Happiness index
Environmental Performance Index
Example (Portugal):
Population: 10.34M | PM2.5: 8.5μg/m³
7

Lifestyle Questionnaire

Personalized risk assessment

Goal: Individual risk factor integration
Variables Assessed:
Smoking status
Alcohol consumption
Meals per day
Work hours
Sleep hours
Exercise frequency
Stress levels
Screen time
Scoring: Base 50 + adjustments
Levels: Excellent to Very High Risk
Combined Score: 60% environmental + 40% lifestyle
8

Export System

Comprehensive CSV reporting

Report Sections:
1. General Information
2. Risk Assessment
3. Weather Data
4. Air Quality
5. Country Statistics
6. Local Environment
7. Lifestyle Assessment
8. Recommendations
9. Metadata
Format: UTF-8 CSV
Included: All analysis data + timestamps
9

Optimizations

Performance & UX improvements

Performance:
Promise.all() for parallel requests
Implicit country data caching
Intelligent fallbacks
User Experience:
Informative tooltips
Smooth CSS animations
Empty states handling
Immediate action feedback
Accessibility: WCAG compliant
Responsiveness: Mobile-optimized
10

Testing & Validation

Quality assurance and verification

API Testing:
Geocoding with various postal codes
Weather data across latitudes
Air quality with/without local stations
Fallback mechanisms
UI Testing:
Responsiveness across devices
Loading and error states
CSV export functionality
Map interactions
Data Testing:
Eurostat data validation
Cross-country consistency
Risk calculations verification
Questionnaire scoring validation

Scientific Methodology

The Exposome Risk Predictor is built on established scientific frameworks and environmental health guidelines

WHO Guidelines

Global Air Quality Guidelines (2021)

  • PM2.5 annual mean: 5 μg/m³ (guideline)
  • PM2.5 interim target: 35 μg/m³
  • Temperature range: 18-24°C optimal
  • Humidity range: 40-60% optimal

EEA Framework

European Environmental Agency

  • Environmental Risk Assessment methods
  • Country profiles and indicators
  • Green space recommendations: ≥30%
  • Noise pollution limits: <55dB daytime

Risk Calculation

Weighted Scoring System

  • Air Quality: 40% (most significant)
  • Environmental Factors: 30%
  • Weather Conditions: 20%
  • Country Statistics: 10%
Final Score: 0-100 scale with scientific calibration

Development Timeline

Phase 1: Planning

Duration: 1-2 weeks

Project scope definition, technical architecture design, API selection, and feature specification.

Phase 2-3: UI & Map

Duration: 2-3 weeks

Design system implementation, component development, Leaflet.js integration, and interactive map features.

Phase 4-5: API & Analysis

Duration: 3-4 weeks

API integration, data processing, scientific risk algorithm development, and scoring system implementation.

Phase 6-7: Data & Features

Duration: 2-3 weeks

Eurostat database integration, lifestyle questionnaire development, and combined scoring system.

Phase 8-10: Polish & Test

Duration: 2-3 weeks

Export system implementation, performance optimizations, comprehensive testing, and deployment preparation.