Authors' reply to the discussion of 'A COVID‐19 Model for Local Authorities of the United Kingdom' by Mishra et al. in Session 2 of the Royal Statistical Society's Special Topic Meeting on COVID‐19 transmission: 11 June 2021.
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| Title: | Authors' reply to the discussion of 'A COVID‐19 Model for Local Authorities of the United Kingdom' by Mishra et al. in Session 2 of the Royal Statistical Society's Special Topic Meeting on COVID‐19 transmission: 11 June 2021. |
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| Authors: | Mishra, Swapnil1, Scott, James A.2, Laydon, Daniel J.1, Zhu, Harrison2, Ferguson, Neil M.1, Bhatt, Samir1, Flaxman, Seth2, Gandy, Axel2, a.gandy@imperial.ac.uk |
| Source: | Journal of the Royal Statistical Society: Series A (Statistics in Society); Nov2022 Supplement 1, Vol. 185 Issue 1, pS110-S111, 2p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 161085013 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Authors' reply to the discussion of 'A COVID‐19 Model for Local Authorities of the United Kingdom' by Mishra et al. in Session 2 of the Royal Statistical Society's Special Topic Meeting on COVID‐19 transmission: 11 June 2021. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Mishra%2C+Swapnil%22">Mishra, Swapnil</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Scott%2C+James+A%2E%22">Scott, James A.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Laydon%2C+Daniel+J%2E%22">Laydon, Daniel J.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhu%2C+Harrison%22">Zhu, Harrison</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Ferguson%2C+Neil+M%2E%22">Ferguson, Neil M.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Bhatt%2C+Samir%22">Bhatt, Samir</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Flaxman%2C+Seth%22">Flaxman, Seth</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Gandy%2C+Axel%22">Gandy, Axel</searchLink><relatesTo>2</relatesTo>, <i>a.gandy@imperial.ac.uk</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+the+Royal+Statistical+Society%3A+Series+A+%28Statistics+in+Society%29%22">Journal of the Royal Statistical Society: Series A (Statistics in Society)</searchLink>; Nov2022 Supplement 1, Vol. 185 Issue 1, pS110-S111, 2p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=161085013 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/rssa.12977 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 2 StartPage: S110 Titles: – TitleFull: Authors' reply to the discussion of 'A COVID‐19 Model for Local Authorities of the United Kingdom' by Mishra et al. in Session 2 of the Royal Statistical Society's Special Topic Meeting on COVID‐19 transmission: 11 June 2021. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mishra, Swapnil – PersonEntity: Name: NameFull: Scott, James A. – PersonEntity: Name: NameFull: Laydon, Daniel J. – PersonEntity: Name: NameFull: Zhu, Harrison – PersonEntity: Name: NameFull: Ferguson, Neil M. – PersonEntity: Name: NameFull: Bhatt, Samir – PersonEntity: Name: NameFull: Flaxman, Seth – PersonEntity: Name: NameFull: Gandy, Axel IsPartOfRelationships: – BibEntity: Dates: – D: 02 M: 11 Text: Nov2022 Supplement 1 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 09641998 Numbering: – Type: volume Value: 185 – Type: issue Value: 1 Titles: – TitleFull: Journal of the Royal Statistical Society: Series A (Statistics in Society) Type: main |
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