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ENV-444: Exploratory data analysis in environmental health
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Lectures in this course (31)
Collaborative writing with Overleaf and Authorea
Introduces collaborative writing solutions Overleaf and Authorea, focusing on planning, drafting, and revising documents with unlimited collaborators.
Confounding Effects in Spatial Epidemiology
Explores controlling for confounding variables in spatial epidemiology to isolate specific health factors and discusses methods for adjustment.
Spatial regression or spatial lag model
Explores spatial regression models, addressing spatial autocorrelation challenges and the concept of spatial lag models to correct biases and improve inference accuracy.
Introduction: organization and requirements
Covers course organization, spatial statistics, epidemiological data analysis, and group project work.
Spatial Autocorrelation: Moran's I
Explores Moran's I for assessing spatial clustering in geographical data using precipitation as an example.
Chronic Diseases Spatial Distribution
Delves into the spatial distribution of chronic diseases, highlighting specific clusters of high BMI values among adults and children.
Spatial Statistics: Significance
Explains the calculation of statistical significance in spatial statistics using permutation and randomization methods.
Spatiotemporal Monitoring of COVID-19 Cases in Geneva
Analyzes the spatial and temporal patterns of COVID-19 cases in Geneva, detecting significant clusters and discussing prevention measures.
Local Spatial Autocorrelation
Explores local spatial autocorrelation for detecting clusters at a local level and assessing the spatial distribution of variables.
Geomedicine: Investigating Health Data in Diverse Environmental Conditions
Explores geomedicine, combining expertise to provide healthcare decision-making information.
Obesity and Precarity: Geospatial Analysis
Explores the link between obesity and socio-economic precarity using geospatial information to understand part of the obesity epidemic.
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