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This instruction aims to reproduce the results in the paper “Estimating functional parameters for understanding the impact of weather and government interventions on COVID-19 outbreak” published in the Annals of Applied Statistics 2022

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ChihLi/Understanding-Impact-of-weather-and-intervention-on-COVID-19-AoAs

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Reproducibility for Sung (2022) Estimating Functional Parameters for Understanding the impact of Weather and Government Interventions on COVID‐19 Outbreak

This folder consists of the data and R code for the manuscript Estimating Functional Parameters for Understanding the impact of Weather and Government Interventions on COVID‐19 Outbreak by Sung (2022).

  • The code folder reproduces the results in the Sections 4 and 5 of the manuscript.
    • The required R packages include plgp, ggplot2, gbm, gridExtra, PerformanceAnalytics, and ggpubr
    • main.R is the master file, which reproduces all the figures of the manuscript.
    • Note: reproduces all the results may take more than 24 hours, depending on the computer resourses.
  • The data folder contains the required data:
    • climate_city_test.csv: weather and government interventions in the test data
    • climate_city.csv: weather and government interventions in the training data
    • us-counties.csv: US county level covid data, including daily cases and deaths
    • city_population.csv: city population
    • county.txt: link city to county

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This instruction aims to reproduce the results in the paper “Estimating functional parameters for understanding the impact of weather and government interventions on COVID-19 outbreak” published in the Annals of Applied Statistics 2022

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