Abstract
Hospitals are highly dynamic environments where Covid-19 is highly transmissible if effective measures are not taken. Several factors drive its transmission, including mask efficiency (or lack thereof), environment setup, and agent behaviour. General preventive policies are not necessarily effective in specific settings. However, agent-based modelling can offer a way to tailor policies according to various factors that influence the management of institutions, environments, and the activities of citizens within these setups. In this paper, we show how an agent-based model can simulate a typical hospital in a citizen-centric fashion. We customise the study of how Covid-19 is transmitted by focusing on the diverse characteristics of its population. We derive more tailored conclusions regarding influencing factors and, consequently, formulate more precise preventive actions that could enable us to better respond to future outbreaks.
| Original language | English |
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| Title of host publication | Proceedings of the Second International Workshop on Citizen-Centric Multiagent Systems 2024 (C-MAS 2024) |
| Editors | Sebastian Stein, Archie Chapman, Yali Du, Behrad Koohy, Vahid Yazdanpanah, Pinar Yolum |
| Pages | 70-76 |
| Publication status | Published - 2024 |
| Event | The 2nd International Workshop on Citizen-Centric Multiagent Systems - Cordis Hotel, Auckland, New Zealand Duration: 6 May 2024 → 9 May 2024 Conference number: 2nd https://sites.google.com/view/cmas24/home |
Workshop
| Workshop | The 2nd International Workshop on Citizen-Centric Multiagent Systems |
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| Abbreviated title | C-MAS 2024 |
| Country/Territory | New Zealand |
| City | Auckland |
| Period | 6/05/24 → 9/05/24 |
| Internet address |
Keywords
- Covid-19
- healthcare
- multi-agent systems
- Agent-based modelling
- citizen-centric simulation