This repository contains the code for an agent-based model used for COVID-19 in Sub-Saharan Africa. The original code was written in Python by Aivin Solatorio and is since being developed in Java. Complimentary risk modelling has been conducted in R as an intermediate product and is also part of this repo
Currently each agent draws their contacts in each place from a pool of all agents in the district. i.e. perfect mixing.
Instead we want it to be that each agent draws their contacts from a smaller pool of the maximum number of contacts in the specific place they visit e.g. you can have 2 contacts from a pool of 100 at the office. This is to be based on the Round 9 Manicaland data that was collected.
Currently each agent draws their contacts in each place from a pool of all agents in the district. i.e. perfect mixing. Instead we want it to be that each agent draws their contacts from a smaller pool of the maximum number of contacts in the specific place they visit e.g. you can have 2 contacts from a pool of 100 at the office. This is to be based on the Round 9 Manicaland data that was collected.