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The mathematics of the reproduction number R for Covid-19: A primer for demographers

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  • Luis Rosero-Bixby
  • Tim Miller

Abstract

Supplementary Files Data Set (Excel) Data Set (DTA) The reproduction number R is a key indicator used to monitor the dynamics of Covid-19 and to assess the effects of infection control strategies that frequently have high social and economic costs. Despite having an analog in demography’s “net reproduction rate” that has been routinely computed for a century, demographers may not be familiar with the concept and measurement of R in the context of Covid-19. This article is intended to be a primer for understanding and estimating R in demography. We show that R can be estimated as a ratio between the numbers of new cases today divided by the weighted average of cases in previous days. We present two alternative derivations for these weights based on how risks have changed over time: constant vs. exponential decay. We then provide estimates of these weights, and demonstrate their use in calculating R to trace the course of the first pandemic year in 53 countries.

Suggested Citation

  • Luis Rosero-Bixby & Tim Miller, 2022. "The mathematics of the reproduction number R for Covid-19: A primer for demographers," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 20(1), pages 143-166.
    • Handle: RePEc:vid:yearbk:v:20:y:2022:i:1:oid:0x003d1321
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    Cited by:

    1. Papageorgiou, Vasileios E. & Tsaklidis, George, 2023. "An improved epidemiological-unscented Kalman filter (hybrid SEIHCRDV-UKF) model for the prediction of COVID-19. Application on real-time data," Chaos, Solitons & Fractals, Elsevier, vol. 166(C).

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