Agent-based modeling to estimate the impact of lockdown scenarios and events on a pandemic exemplified on SARS-CoV-2.
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| Title: | Agent-based modeling to estimate the impact of lockdown scenarios and events on a pandemic exemplified on SARS-CoV-2. |
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| Authors: | Nitzsche, Christian1 (AUTHOR), Simm, Stefan1,2 (AUTHOR) stefan.simm@uni-greifswald.de |
| Source: | Scientific Reports. 6/11/2024, Vol. 14 Issue 1, p1-17. 17p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 177817413 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Agent-based modeling to estimate the impact of lockdown scenarios and events on a pandemic exemplified on SARS-CoV-2. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Nitzsche%2C+Christian%22">Nitzsche, Christian</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Simm%2C+Stefan%22">Simm, Stefan</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> stefan.simm@uni-greifswald.de</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Scientific+Reports%22">Scientific Reports</searchLink>. 6/11/2024, Vol. 14 Issue 1, p1-17. 17p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=177817413 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-024-63795-1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 1 Titles: – TitleFull: Agent-based modeling to estimate the impact of lockdown scenarios and events on a pandemic exemplified on SARS-CoV-2. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Nitzsche, Christian – PersonEntity: Name: NameFull: Simm, Stefan IsPartOfRelationships: – BibEntity: Dates: – D: 11 M: 06 Text: 6/11/2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 20452322 Numbering: – Type: volume Value: 14 – Type: issue Value: 1 Titles: – TitleFull: Scientific Reports Type: main |
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