Quantifying the small-area spatio-temporal dynamics of the Covid-19 pandemic in Scotland during a period with limited testing capacity

Duncan Lee; Chris Robertson; Diogo Marques

doi:10.1016/j.spasta.2021.100508

Quantifying the small-area spatio-temporal dynamics of the Covid-19 pandemic in Scotland during a period with limited testing capacity

Duncan Lee, Chris Robertson, Diogo Marques

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	100508
Journal	Spatial Statistics
Volume	49
DOIs	https://doi.org/10.1016/j.spasta.2021.100508
Publication status	Published - Jun 2022
Externally published	Yes

ASJC Scopus Subject Areas

Computers in Earth Sciences
Management, Monitoring, Policy and Law
Statistics and Probability

Keywords

Covid-19 pandemic
Gaussian Markov random field models
Scotland
Telehealth data

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.spasta.2021.100508

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Lee, D., Robertson, C., & Marques, D. (2022). Quantifying the small-area spatio-temporal dynamics of the Covid-19 pandemic in Scotland during a period with limited testing capacity. Spatial Statistics, 49, Article 100508. https://doi.org/10.1016/j.spasta.2021.100508

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author = "Duncan Lee and Chris Robertson and Diogo Marques",

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KW - Gaussian Markov random field models

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Quantifying the small-area spatio-temporal dynamics of the Covid-19 pandemic in Scotland during a period with limited testing capacity

ASJC Scopus Subject Areas

Keywords

UN SDGs

Access to Document

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