An agent-based epidemics simulation to compare and explain screening and vaccination prioritisation strategies Article Swipe
Carole Adam
,
Hélène Arduin
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2210.13089
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2210.13089
This paper describes an agent-based model of epidemics dynamics. This model is willingly simplified, as its goal is not to predict the evolution of the epidemics, but to explain the underlying mechanisms in an interactive way. This model allows to compare screening prioritisation strategies, as well as vaccination priority strategies, on a virtual population. The model is implemented in Netlogo in different simulators, published online to let people experiment with them. This paper reports on the model design, implementation, and experimentations. In particular we have compared screening strategies to evaluate the epidemics vs control it by quarantining infectious people; and we have compared vaccinating older people with more risk factors, vs younger people with more social contacts.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2210.13089
- https://arxiv.org/pdf/2210.13089
- OA Status
- green
- References
- 30
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4307318037
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4307318037Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2210.13089Digital Object Identifier
- Title
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An agent-based epidemics simulation to compare and explain screening and vaccination prioritisation strategiesWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-10-24Full publication date if available
- Authors
-
Carole Adam, Hélène ArduinList of authors in order
- Landing page
-
https://arxiv.org/abs/2210.13089Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2210.13089Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2210.13089Direct OA link when available
- Concepts
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NetLogo, Computer science, Herd immunity, Vaccination, Agent-based model, Population, Operations research, Risk analysis (engineering), Management science, Artificial intelligence, Medicine, Environmental health, Virology, Engineering, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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30Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.social | 115 |
| abstract_inverted_index.Netlogo | 59 |
| abstract_inverted_index.compare | 40 |
| abstract_inverted_index.control | 93 |
| abstract_inverted_index.design, | 77 |
| abstract_inverted_index.explain | 28 |
| abstract_inverted_index.people; | 98 |
| abstract_inverted_index.predict | 20 |
| abstract_inverted_index.reports | 73 |
| abstract_inverted_index.virtual | 52 |
| abstract_inverted_index.younger | 111 |
| abstract_inverted_index.compared | 85, 102 |
| abstract_inverted_index.evaluate | 89 |
| abstract_inverted_index.factors, | 109 |
| abstract_inverted_index.priority | 48 |
| abstract_inverted_index.contacts. | 116 |
| abstract_inverted_index.describes | 2 |
| abstract_inverted_index.different | 61 |
| abstract_inverted_index.dynamics. | 8 |
| abstract_inverted_index.epidemics | 7, 91 |
| abstract_inverted_index.evolution | 22 |
| abstract_inverted_index.published | 63 |
| abstract_inverted_index.screening | 41, 86 |
| abstract_inverted_index.willingly | 12 |
| abstract_inverted_index.epidemics, | 25 |
| abstract_inverted_index.experiment | 68 |
| abstract_inverted_index.infectious | 97 |
| abstract_inverted_index.mechanisms | 31 |
| abstract_inverted_index.particular | 82 |
| abstract_inverted_index.strategies | 87 |
| abstract_inverted_index.underlying | 30 |
| abstract_inverted_index.agent-based | 4 |
| abstract_inverted_index.implemented | 57 |
| abstract_inverted_index.interactive | 34 |
| abstract_inverted_index.population. | 53 |
| abstract_inverted_index.simplified, | 13 |
| abstract_inverted_index.simulators, | 62 |
| abstract_inverted_index.strategies, | 43, 49 |
| abstract_inverted_index.vaccinating | 103 |
| abstract_inverted_index.vaccination | 47 |
| abstract_inverted_index.quarantining | 96 |
| abstract_inverted_index.prioritisation | 42 |
| abstract_inverted_index.implementation, | 78 |
| abstract_inverted_index.experimentations. | 80 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8600000143051147 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.13516197 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |