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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

Detalles Bibliográficos
Autores principales: Teh, Yee Whye, Elesedy, Bryn, He, Bobby, Hutchinson, Michael, Zaidi, Sheheryar, Bhoopchand, Avishkar, Paquet, Ulrich, Tomasev, Nenad, Read, Jonathan, Diggle, Peter J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
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
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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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