/Weitz_2020_covid_shield_immunity

Modeling the Role of ‘Shield Immunity’ in Reducing COVID-19 Epidemic Spread

Primary LanguageJupyter NotebookOtherNOASSERTION

'Shield Immunity' project

Joshua S. Weitz and collaborators, March 31, 2020 School of Biological Sciences Georgia Institute of Technology

Code in MATLAB, Julia, and R

For MATLAB, add the helper files via an addpath command "addpath (directory name)"

Figure License: CC-BY-4.0 Code License: MIT

Folder descriptions:

shield_sir contains code for the SIR model with serological shields in the main text; core_model contains MATLAB, Julia and R code for the core age-structured serological shields model; demography contains code for the section : "INTERACTION SUBSTITUTION AND DEMOGRAPHY" in the SI; asymptomatics contains code for the section : "VARIATION WITH ASYMPTOMATIC CASES" in the SI; immune_duration contains code for the section : "IMPACTS OF WANING IMMUNITY" in the SI; targeted contains code for the section : "OPTIMISED AGE-DEPENDENT IMMUNE SHIELDING DEPLOYMENT" in the SI.