Home > Research > Publications & Outputs > Efficient Bayesian inference of instantaneous r...

Links

Text available via DOI:

View graph of relations

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

Research output: Contribution to Journal/MagazineJournal articlepeer-review

E-pub ahead of print

Standard

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 et al.
In: Journal of the Royal Statistical Society: Series A Statistics in Society, 08.12.2022.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Teh, YW, Elesedy, B, He, B, Hutchinson, M, Zaidi, S, Bhoopchand, A, Paquet, U, Tomasev, N, Read, J & Diggle, PJ 2022, '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', Journal of the Royal Statistical Society: Series A Statistics in Society. https://doi.org/10.1111/rssa.12971

APA

Teh, Y. W., Elesedy, B., He, B., Hutchinson, M., Zaidi, S., Bhoopchand, A., Paquet, U., Tomasev, N., Read, J., & Diggle, P. J. (2022). 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. Journal of the Royal Statistical Society: Series A Statistics in Society. Advance online publication. https://doi.org/10.1111/rssa.12971

Vancouver

Teh YW, Elesedy B, He B, Hutchinson M, Zaidi S, Bhoopchand A et al. 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. Journal of the Royal Statistical Society: Series A Statistics in Society. 2022 Dec 8. Epub 2022 Dec 8. doi: 10.1111/rssa.12971

Author

Teh, Yee Whye ; Elesedy, Bryn ; He, Bobby et al. / 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. In: Journal of the Royal Statistical Society: Series A Statistics in Society. 2022.

Bibtex

@article{19484ed25f5b436b8b9d31e4efc9c6ed,
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",
keywords = "SUPPLEMENT ARTICLE, SUPPLEMENT ARTICLES",
author = "Teh, {Yee Whye} and Bryn Elesedy and Bobby He and Michael Hutchinson and Sheheryar Zaidi and Avishkar Bhoopchand and Ulrich Paquet and Nenad Tomasev and Jonathan Read and Diggle, {Peter J.}",
year = "2022",
month = dec,
day = "8",
doi = "10.1111/rssa.12971",
language = "English",
journal = "Journal of the Royal Statistical Society: Series A Statistics in Society",
issn = "0964-1998",
publisher = "Wiley",

}

RIS

TY - JOUR

T1 - 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

AU - Teh, Yee Whye

AU - Elesedy, Bryn

AU - He, Bobby

AU - Hutchinson, Michael

AU - Zaidi, Sheheryar

AU - Bhoopchand, Avishkar

AU - Paquet, Ulrich

AU - Tomasev, Nenad

AU - Read, Jonathan

AU - Diggle, Peter J.

PY - 2022/12/8

Y1 - 2022/12/8

KW - SUPPLEMENT ARTICLE

KW - SUPPLEMENT ARTICLES

U2 - 10.1111/rssa.12971

DO - 10.1111/rssa.12971

M3 - Journal article

JO - Journal of the Royal Statistical Society: Series A Statistics in Society

JF - Journal of the Royal Statistical Society: Series A Statistics in Society

SN - 0964-1998

ER -