Analyzing the Dynamics and Structure of a Pandemic by Coupling Cellular Automata with an Algorithm for Neighborhood Generating
Due to the global impact of the COVID-19 pandemic, many studies have been conducted using a variety of methods to analyze the spread of the disease and the impact of various interventions. Cellular automata (CA) are particularly suitable for analyzing these aspects. In order to analyze different dynamics of the spread and its consequences by a CA in more detail, an algorithm for neighborhood generating (ANG) has been further investigated for each individual time step of the CA. The structure generated by ANG allows a direct comparison of the daily evolution in different countries.
Authors
- Christina Klüver (ORCID: https://orcid.org/0000-0003-4122-3895)
- Guido Faßbender
Publication Details
- Published
- 2025-03-17
- DOI
- https://doi.org/10.1109/alife-ciscompanion65078.2025.11030991
- Primary Topic
- COVID-19 epidemiological studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00