Optimizing global COVID-19 vaccine allocation: An agent-based computational model of 148 countries.
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| Title: | Optimizing global COVID-19 vaccine allocation: An agent-based computational model of 148 countries. |
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| Authors: | Li, Qingfeng1 (AUTHOR) qli28@jhu.edu, Huang, Yajing1 (AUTHOR) |
| Source: | PLoS Computational Biology. 9/6/2022, Vol. 18 Issue 9, p1-15. 15p. 1 Diagram, 2 Charts, 2 Graphs. |
| 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: 158941582 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Optimizing global COVID-19 vaccine allocation: An agent-based computational model of 148 countries. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Li%2C+Qingfeng%22">Li, Qingfeng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> qli28@jhu.edu</i><br /><searchLink fieldCode="AR" term="%22Huang%2C+Yajing%22">Huang, Yajing</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 9/6/2022, Vol. 18 Issue 9, p1-15. 15p. 1 Diagram, 2 Charts, 2 Graphs. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=158941582 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pcbi.1010463 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 1 Titles: – TitleFull: Optimizing global COVID-19 vaccine allocation: An agent-based computational model of 148 countries. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Li, Qingfeng – PersonEntity: Name: NameFull: Huang, Yajing IsPartOfRelationships: – BibEntity: Dates: – D: 06 M: 09 Text: 9/6/2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 1553734X Numbering: – Type: volume Value: 18 – Type: issue Value: 9 Titles: – TitleFull: PLoS Computational Biology Type: main |
| ResultId | 1 |