Research and analysis

Lancaster University: COVID-19 Bayesian Spatial Stochastic Model-based risk estimation, 3 August 2020

Paper prepared by Lancaster University.

• From: Scientific Advisory Group for Emergencies
• Published: 8 April 2022

Documents

Lancaster University: COVID-19 Bayesian Spatial Stochastic Model-based Risk Estimation, 3 August 2020

PDF, 2.54 MB, 5 pages

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Details

Paper by Lancaster University on spatial COVID-19 risk estimation. This paper was available for participants to read at SAGE 50 on 6 August 2020, but not considered or discussed in the meeting.

The paper is the assessment of the evidence at the time of writing. As new evidence or data emerges, SAGE updates its advice accordingly.

This paper contains estimates of the reproduction number (R) from one modelling group. These will differ to published consensus estimates of the R value from SAGE.

See the latest R value and growth rates, and further background.

This paper should be read alongside the SPI-M-O: Local interventions and spatial scales from SAGE 50.

These documents are released as pre-print publications that have provided the government with rapid evidence during an emergency. These documents have not been peer-reviewed and there is no restriction on authors submitting and publishing this evidence in peer-reviewed journals.

Published 8 April 2022