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

Cite this

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

keywords = "Covid-19 pandemic, Gaussian Markov random field models, Scotland, Telehealth data",

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

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year = "2022",

month = jun,

doi = "10.1016/j.spasta.2021.100508",

language = "English",

volume = "49",

journal = "Spatial Statistics",

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T1 - Quantifying the small-area spatio-temporal dynamics of the Covid-19 pandemic in Scotland during a period with limited testing capacity

AU - Lee, Duncan

AU - Robertson, Chris

AU - Marques, Diogo

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KW - Gaussian Markov random field models

KW - Scotland

KW - Telehealth data

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DO - 10.1016/j.spasta.2021.100508

M3 - Article

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VL - 49

JO - Spatial Statistics

JF - Spatial Statistics

M1 - 100508

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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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