Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Nov;53(6):405-408.
doi: 10.3961/jpmph.20.288. Epub 2020 Oct 20.

Interpretation of the Basic and Effective Reproduction Number

Affiliations

Interpretation of the Basic and Effective Reproduction Number

Jun-Sik Lim et al. J Prev Med Public Health. 2020 Nov.

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.

Keywords: Infectious disease; Public health; Reproduction number; Surveillance.

PubMed Disclaimer

Conflict of interest statement

CONFLICT OF INTEREST

The authors have no conflicts of interest associated with the material presented in this paper.

Figures

Figure. 1.
Figure. 1.
Different reporting time points by the surveillance system based on the incidence of symptoms (report 1) and by the one with time lag (report 2).

References

    1. Ryu S, Chun BC; Korean Society of Epidemiology 2019-nCoV Task Force Team. An interim review of the epidemiological characteristics of 2019 novel coronavirus. Epidemiol Health. 2020;42:e2020006. - PMC - PubMed
    1. Ryu S, Ali ST, Lim JS, Chun BC. Estimation of the excess COVID-19 cases in Seoul, South Korea by the students arriving from China. Int J Environ Res Public Health. 2020;17(9):3113. - PMC - PubMed
    1. Delamater PL, Street EJ, Leslie TF, Yang YT, Jacobsen KH. Complexity of the basic reproduction number (R0) Emerg Infect Dis. 2019;25(1):1–4. - PMC - PubMed
    1. Keeling MJ, Rohani P. Modeling infectious diseases in humans and animals. Princeton: Princeton University Press; 2011. p. 62.
    1. Lloyd-Smith JO, Schreiber SJ, Kopp PE, Getz WM. Superspreading and the effect of individual variation on disease emergence. Nature. 2005;438(7066):355–359. - PMC - PubMed

MeSH terms