CDDEP-DC / COVID-Humidity-Mobility-GAM

Generalized Additive Model assessing effects of absolute humidity and human encounters on COVID-19 transmission in the United States.

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COVID-Humidity-Mobility

R code analyzing assessing effects of absolute humidity and human encounters on COVID-19 seasonality in the United States.

Overview

This repository contains the code to Investigating the effects of absolute humidity and human encounters on transmission of COVID-19 in the United States.

Running the dynamic time-warping clustering analysis

To conduct partitional clustering using dynamic time warping, just run the R script named RunDTWCluster.R file in R. The seeding used in the Lin et al. (2020) is included in the R script.

Running the GLM regression Analysis

To conduct the regression Analysis in main article and supplement, run the RunGLMAnalysis.R script.

Running the correlation analysis

To generate the corerelation matrix in the supplement, execute the RunCorrelationAnalysis.R script.

Generating figures

To generate the figures, run RunDataVisualization.R script.

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Generalized Additive Model assessing effects of absolute humidity and human encounters on COVID-19 transmission in the United States.


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Language:HTML 85.1%Language:R 14.9%