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Efficient Bayesian inference of instantaneous reproduction numbers at fine spatial scales, with an application to mapping and nowcasting the Covid‐19 epidemic in British local authorities
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/PMC9877716/ http://dx.doi.org/10.1111/rssa.12971 |
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author | Teh, Yee Whye Elesedy, Bryn He, Bobby Hutchinson, Michael Zaidi, Sheheryar Bhoopchand, Avishkar Paquet, Ulrich Tomasev, Nenad Read, Jonathan Diggle, Peter J. |
author_facet | Teh, Yee Whye Elesedy, Bryn He, Bobby Hutchinson, Michael Zaidi, Sheheryar Bhoopchand, Avishkar Paquet, Ulrich Tomasev, Nenad Read, Jonathan Diggle, Peter J. |
author_sort | Teh, Yee Whye |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-9877716 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98777162023-01-26 Efficient Bayesian inference of instantaneous reproduction numbers at fine spatial scales, with an application to mapping and nowcasting the Covid‐19 epidemic in British local authorities Teh, Yee Whye Elesedy, Bryn He, Bobby Hutchinson, Michael Zaidi, Sheheryar Bhoopchand, Avishkar Paquet, Ulrich Tomasev, Nenad Read, Jonathan Diggle, Peter J. J R Stat Soc Ser A Stat Soc Supplement Articles John Wiley and Sons Inc. 2022-12-08 2022-11 /pmc/articles/PMC9877716/ http://dx.doi.org/10.1111/rssa.12971 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 Teh, Yee Whye Elesedy, Bryn He, Bobby Hutchinson, Michael Zaidi, Sheheryar Bhoopchand, Avishkar Paquet, Ulrich Tomasev, Nenad Read, Jonathan Diggle, Peter J. Efficient Bayesian inference of instantaneous reproduction numbers at fine spatial scales, with an application to mapping and nowcasting the Covid‐19 epidemic in British local authorities |
title | Efficient Bayesian inference of instantaneous reproduction numbers at fine spatial scales, with an application to mapping and nowcasting the Covid‐19 epidemic in British local authorities |
title_full | Efficient Bayesian inference of instantaneous reproduction numbers at fine spatial scales, with an application to mapping and nowcasting the Covid‐19 epidemic in British local authorities |
title_fullStr | Efficient Bayesian inference of instantaneous reproduction numbers at fine spatial scales, with an application to mapping and nowcasting the Covid‐19 epidemic in British local authorities |
title_full_unstemmed | Efficient Bayesian inference of instantaneous reproduction numbers at fine spatial scales, with an application to mapping and nowcasting the Covid‐19 epidemic in British local authorities |
title_short | Efficient Bayesian inference of instantaneous reproduction numbers at fine spatial scales, with an application to mapping and nowcasting the Covid‐19 epidemic in British local authorities |
title_sort | efficient bayesian inference of instantaneous reproduction numbers at fine spatial scales, with an application to mapping and nowcasting the covid‐19 epidemic in british local authorities |
topic | Supplement Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9877716/ http://dx.doi.org/10.1111/rssa.12971 |
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