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Interpretation of the Basic and Effective Reproduction Number

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In epidemiology, the basic reproduction number (R0) is a term that describes the expected number of infections generated by 1 case in a susceptible population. At the beginning of the coronavirus disease 2019 (COVID-19) pandemic, R0 was frequently referenced by the public health community and the wider public. However, this metric is often misused or misinterpreted. Moreover, the complexity of the process of estimating R0 has caused difficulties for a substantial number of researchers. In this article, in order to increase the accessibility of this concept, we address several misconceptions related to the threshold characteristics of R0 and the effective reproduction number (Rt). Moreover, the appropriate interpretation of the metrics is discussed. R0 should be considered as a population-averaged value that pools the contact structure according to a stochastic transmission process. Furthermore, it is necessary to understand the unavoidable time lag for Rt due to the incubation period of the disease.

Abstract

In epidemiology, the basic reproduction number (R0) is a term that describes the expected number of infections generated by 1 case in a susceptible population. At the beginning of the coronavirus disease 2019 (COVID-19) pandemic, R0 was frequently referenced by the public health community and the wider public. However, this metric is often misused or misinterpreted. Moreover, the complexity of the process of estimating R0 has caused difficulties for a substantial number of researchers. In this article, in order to increase the accessibility of this concept, we address several misconceptions related to the threshold characteristics of R0 and the effective reproduction number (Rt). Moreover, the appropriate interpretation of the metrics is discussed. R0 should be considered as a population-averaged value that pools the contact structure according to a stochastic transmission process. Furthermore, it is necessary to understand the unavoidable time lag for Rt due to the incubation period of the disease.

참고문헌 (8)

  1. 유석현, "An interim review of the epidemiological characteristics of 2019 novel coronavirus", Epidemiology and Health, 42, pp.1~4 (2020), 한국역학회[DOI]
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  3. Delamater PL, "Complexity of the basic reproduction number(R0)", Emerg Infect Dis, 25(1), pp.1~4 (2019)
  4. Keeling MJ, "Modeling infectious diseases in humans and animals", pp.62~ (2011), Princeton University Press
  5. Lloyd-Smith JO, "Superspreading and the effect of individual variation on disease emergence", Nature, 438(7066), pp.355~359 (2005)
  6. Cauchemez S, "Estimating in real time the efficacy of measures to control emerging communicable diseases", Am J Epidemiol, 164(6), pp.591~597 (2006)
  7. Hwang J, "Basic and effective reproduction numbers of COVID-19 cases in South Korea excluding Sincheonji cases", medRxiv 2020. doi: https:, doi.org, pp.10.1101, 2020.03.19.20039347[DOI]
  8. Thompson RN, "Improved inference of time-varying reproduction numbers during infectious disease outbreaks", Epidemics, 29, pp.100356~ (2019)

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