coviDC

Maps of SARS-CoV-2 Data in the District of Columbia (2020) Using R

Open-source code to download, manage, and visualize publicly available COVID-19 epidemiologic data in the District of Columbia. See this blog post for an example of maps for May 15, 2020.

Data Sources

1. DC Mayoral Office coronavirus data
2. Collated daily cumulative case count and case rates (per 1,000) by Molly Tolzmann zmotoly available on a public Google Sheet.
3. Presented at the DC health planning neighborhood level

Important Notes

• Case data does not account for degree of testing across DC
• Case rate based on the 2018 American Community Survey (ACS) census tract data available from OpenData DC at the Census Tract level.
• Case data are cumulative since beginning of the COVID-19 outbreak in DC.

Getting Started

The R workflow was built with R version 3.6.3 (2020-02-29) -- "Holding the Windsock" and requires several established R packages.

  loadedPackages <- c("broom", "geojsonio", "ggplot2", "googlesheets4", "htmlwidgets", "leaflet", "sp", "stringr")
  invisible(lapply(loadedPackages, require, character.only = T))

Follow the map_covid_dc.R file to generate the example maps from May 15, 2020.

In Development

We enough temporal data, the change in COVID-19 cases per 1,000 would be possible to estimate across DC and may indicate recent upticks in cases. Stay tuned!

Authors

• Ian Buller - Initial heavycoding with expertise in spatial statistics - GitHub

See also the list of contributors who participated in this project.

License

This project is licensed under the Apache 2.0 License - see the LICENSE.md file for details

Acknowledgments

• Huge s/o to Molly Tolzmann zmotoly for the data collation and initial inspiration from her original post on PoPville.
• Big thanks to the team at Open Data DC
• And to the DC Mayoral Office for the publicly avaiable coronavirus data and lcoal leadership