Commentary on the use of the reproduction number R during the COVID-19 pandemic

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Commentary on the use of the reproduction number R during the COVID-19 pandemic

Vegvari, Carolin (author)

Abbott, Sam (author)

Ball, Frank (author)

Brooks-Pollock, Ellen (author)

Challen, Robert (author)

Collyer, Benjamin S. (author)

Dangerfield, Ciara (author)

Gog, Julia R. (author)

Gostic, Katelyn M. (author)

Heffernan, Jane M. (author)

Hollingsworth, T. Déirdre (author)

Isham, Valerie (author)

Kenah, Eben (author)

Mollison, Denis (author)

Panovska-Griffiths, Jasmina (author)

Pellis, Lorenzo (author)

Roberts, Michael G. (author)

Tomba, Gianpaolo Scalia (author)

Thompson, Robin N. (author)

Trapman, Pieter (author): Stockholms universitet,Matematiska institutionen

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(creator_code:org_t)

2021-09-27
2022
English.
In: Statistical Methods in Medical Research. - : SAGE Publications. - 0962-2802 .- 1477-0334. ; 31:9, s. 1675-1685

Related links:: https://doi.org/10.1...; show more...; https://journals.sag...; https://urn.kb.se/re...; https://doi.org/10.1...; show less...

Journal article (peer-reviewed)

Abstract Subject headings

Since the beginning of the COVID-19 pandemic, the reproduction number R has become a popular epidemiological metric used to communicate the state of the epidemic. At its most basic, R is defined as the average number of secondary infections caused by one primary infected individual. R seems convenient, because the epidemic is expanding if R>1 and contracting if R<1. The magnitude of R indicates by how much transmission needs to be reduced to control the epidemic. Using R in a naïve way can cause new problems. The reasons for this are threefold: (1) There is not just one definition of R but many, and the precise definition of R affects both its estimated value and how it should be interpreted. (2) Even with a particular clearly defined R, there may be different statistical methods used to estimate its value, and the choice of method will affect the estimate. (3) The availability and type of data used to estimate R vary, and it is not always clear what data should be included in the estimation. In this review, we discuss when R is useful, when it may be of use but needs to be interpreted with care, and when it may be an inappropriate indicator of the progress of the epidemic. We also argue that careful definition of R, and the data and methods used to estimate it, can make R a more useful metric for future management of the epidemic.

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MEDICAL AND HEALTH SCIENCES: MEDICAL AND HEAL ...; and Health Sciences; and Public Health Gl ...

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By the university: Stockholm University

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Commentary on the use of the reproduction number R during the COVID-19 pandemic

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