/gtcovid_fa20_spr21_analytics

Code and analytics, GT Covid-19 surveillance testing program

Primary LanguageMATLABCreative Commons Attribution 4.0 InternationalCC-BY-4.0

This is a directory that contains the code and data associated with a GT-focused surveillance testing manuscript (Gibson, Weitz, et al.) including code-bases and associated data

  • Rolling averages of asymptomatic case positivity - R

  • Estimates of the corresponding prevalence in Fulton County using ascertainment biases consistent with Chande et al., 2020 and CDC estimates - R https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/burden.html

  • SEIR scenario analysis meant to inform the choice to use large-scale surveillance as a form of mitigation -- MATLAB

  • Estimating the detection likelihood of outbreaks using partial testing (leveraging the hypergeometric distribution) -- MATLAB

  • Helper files for MATLAB printing available.

All code: CC-BY Contact: jsweitz@gatech.edu - Joshua Weitz - Georgia Tech

Shield: CC BY 4.0

This work is licensed under a Creative Commons Attribution 4.0 International License.

CC BY 4.0