Data Analysis Training for Environmental Health Research
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Updated
Mar 11, 2025
Data Analysis Training for Environmental Health Research
An R package implementing Principal Component Pursuit for pattern recognition in environmental health.
🌼 Collection of materials to accompany the R25 funded "Data Science for Environmental Health" short course
UC Berkeley ESPM C167 Spring 2021
Time series forecasting of seasonal water quality using Auto ARIMA, SARIMA, and VAR models. Predicts CCME Water Quality Index (WQI) using physicochemical parameters to assess potability across seasons.
A working group for health practitioners looking to contribute their expertise, take action, & solve the climate change program.
AI-powered environmental health risk detection system using CNN image analysis and RAG-based health guidance.
End-to-end analysis of global PM2.5 air pollution and air-pollution-attributable mortality using WHO data, with interactive Power BI dashboards and Python-based EDA.
Multi-temporal environmental health exposure assessment for Khordha and Cuttack districts, Odisha. Sentinel-2 LULC, PCA-weighted composite index (heat, green access, blue proximity, air quality, industrial exposure), spatial statistics, scenario-based green-blue intervention modelling, and ML-driven urban typologies.
The archive for data, scripts, and outputs for the paper "Exposure to antibacterial chemicals is associated with altered composition of oral bacteria; the RHINESSA study, Bergen, Norway".
AI-Enabled-AQI-HealthPredictor is an initiative to translate environmental data into meaningful health predictions. By connecting AQI data to health risk modelling, the tool bridges a gap between raw environmental metrics and actionable insights for decision-makers or end-users.
Zephyr is an environmental health monitoring app built for the 9th CASSINI Hackathon that transforms satellite data into personalized health advice
Étude exploratoire du lien entre les décès hebdomadaires et la chaleur observée (i.e. températures estivales) à Montréal et Laval.
Hypothesis Intrinsic Autism and Immune-Mediated Neurodevelopmental Disorders
BreathySync is an AI-powered respiratory health platform that uses 6-second voice samples to generate lung metrics, predicts risks 24–48 hours ahead with a Digital Twin model, and integrates air quality tracking, sleep monitoring, Lung Gym, and ABHA support.
Californians for Pesticide Reform: Pesticide Data Viz & Data Explorer (2023)
Decision Support System for the Prevention of Human Exposome-related health Risks
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