The model aims to illuminate the spread of infectious diseases in a structured network of agents, and to highlight the importance of allocating tests in an optimal way. The main specification models a region that consists of k connected, heterogenous sub-regions. Policy tools that can be activated (and adjusted based on various parameter settings) include testing, test-and-trace, hospitalization and various lockdown schemes. The model investigates the interplay of the k-subregions and counties' policy interventions' effect on overall disease-spread. Particular focus lies on the allocation of tests (coupled with lockdown regimes), and their effect on a) time spent in lockdown and b) health-outcomes (i.e. the number of agents who become infected over the course of a run). The simulation can be visualized.

There are two main classes, both are in "abm_region_class". The class Region is used to construct the contact-structures within a region, which is constituted of multiple sub-regions (which are called counties). The individual counties are small-world networks (Watts-Strogatz type), and there are different ways to create contacts between the counties. The Spread_parameter class is used a) to specify the characteristics of the disease to be modeled (cure-time, infectiousness etc), and b) to determine the parameters for the various policy-interventions, like test-and-trace, hospitalization and allocating tests.

the parameters for the Spread_parameter class:

the parameters for the Region class: