Back to search

Article

A comparison of random mixing in a structured agent-based model with empirical contact survey data

2025-09-22

Abstract excerpt

Agent-based models (ABMs) are powerful tools for simulating disease spread, relying on individual-level representations and interaction rules from which emergent dynamics arise. These rules need to be accurately specified as minor differences can lead to vastly different disease dynamics. An important component in ABMs is the contact behaviour. To decrease the computational complexity the contact behaviour is ofte...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
0a01f32a-16ff-5bf6-a8c9-9fb3a93782fa
DOI
10.1101/2025.09.18.25336044
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
A comparison of random mixing in a structured agent-based model with empirical contact survey dataDOI 10.1101/2025.09.18.25336044
Select a neighboring publication to make it the new centre.