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An Agent-Based Covid-19 Simulator: Extending Covasim to the Polish Context
Governments all over the world make their best to fight with Covid-19 pandemic as effectively as possible. Therefore, we observed a growing need of trustworthy data-intensive systems supporting administration in validating their policy decisions. ProMES, the Covasim-based multiagent pandemic simulat...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8486257/ https://www.ncbi.nlm.nih.gov/pubmed/34630753 http://dx.doi.org/10.1016/j.procs.2021.09.134 |
Sumario: | Governments all over the world make their best to fight with Covid-19 pandemic as effectively as possible. Therefore, we observed a growing need of trustworthy data-intensive systems supporting administration in validating their policy decisions. ProMES, the Covasim-based multiagent pandemic simulator, may serve as such a system, adjusted to the specificity of living, working and social conditions in Poland. The main role of ProMES is to evaluate and compare strategies for reducing Covid-19 transmissions. The strategies include time- and region-dependent combinations of nonpharmaceutical coronavirus-related individual and state interventions, tests and vaccinations. Ultimately, ProMES is meant to serve as a part of data/knowledge intensive decision support system, enhancing administrative reactivity as well as pro-activity in preventing the spread of the coronavirus. This paper reports a work in progress. |
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