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Real-time monitoring of COVID-19 in Scotland.
Calder-Gerver, Giles; Mazeri, Stella; Haynes, Samuel; Simonet, Camille; Woolhouse, Mark; Brown, Helen.
  • Calder-Gerver G; The Usher Institute, College of Medicine and Veterinary Medicine, Ashworth 1, Charlotte Auerbach Road, University of Edinburgh Edinburgh EH9 3FL, UK, Email: g.calder@ed.ac.uk.
  • Mazeri S; The Roslin Institute, The Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, UK.
  • Haynes S; Institute of Cell Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, UK.
  • Simonet C; Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, UK.
  • Woolhouse M; The Usher Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK.
  • Brown H; The Roslin Institute, The Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, UK.
J R Coll Physicians Edinb ; 51(S1): S20-S25, 2021 06.
Article in English | MEDLINE | ID: covidwho-1286975
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ABSTRACT

BACKGROUND:

To manage the public health risk posed by COVID-19 and assess the impact of interventions, policymakers must be able to closely monitor the epidemic's trajectory.

METHODS:

Here we present a simple methodology based on basic surveillance metrics for monitoring the spread of COVID-19 and its burden on health services in Scotland.

RESULTS:

We examine how the dynamics of the epidemic have changed over time and assess the similarities and differences between metrics.

DISCUSSION:

We illustrate how our method has been used throughout the epidemic in Scotland, explore potential biases and conclude that our method has proven to be an effective tool for monitoring the epidemic's trajectory.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Epidemics / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: Europa Language: English Journal: J R Coll Physicians Edinb Journal subject: Education / History of Medicine / Medicine Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Epidemics / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: Europa Language: English Journal: J R Coll Physicians Edinb Journal subject: Education / History of Medicine / Medicine Year: 2021 Document Type: Article