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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
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9877550/ http://dx.doi.org/10.1111/rssa.12977 |
| _version_ | 1784878390771187712 |
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| author | Mishra, Swapnil Scott, James A. Laydon, Daniel J. Zhu, Harrison Ferguson, Neil M. Bhatt, Samir Flaxman, Seth Gandy, Axel |
| author_facet | Mishra, Swapnil Scott, James A. Laydon, Daniel J. Zhu, Harrison Ferguson, Neil M. Bhatt, Samir Flaxman, Seth Gandy, Axel |
| author_sort | Mishra, Swapnil |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-9877550 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | John Wiley and Sons Inc. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-98775502023-01-26 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 Mishra, Swapnil Scott, James A. Laydon, Daniel J. Zhu, Harrison Ferguson, Neil M. Bhatt, Samir Flaxman, Seth Gandy, Axel J R Stat Soc Ser A Stat Soc Supplement Articles John Wiley and Sons Inc. 2022-12-08 2022-11 /pmc/articles/PMC9877550/ http://dx.doi.org/10.1111/rssa.12977 Text en © 2022 The Authors. Journal of the Royal Statistical Society: Series A (Statistics in Society) published by John Wiley & Sons Ltd on behalf of Royal Statistical Society. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
| spellingShingle | Supplement Articles Mishra, Swapnil Scott, James A. Laydon, Daniel J. Zhu, Harrison Ferguson, Neil M. Bhatt, Samir Flaxman, Seth Gandy, Axel 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 |
| 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | 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 |
| topic | Supplement Articles |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9877550/ http://dx.doi.org/10.1111/rssa.12977 |
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