Correcting the Reproduction Number for Time-Varying Tests: a Proposal and an Application to COVID-19 in France

30 Pages Posted: 8 Dec 2020 Last revised: 29 Apr 2022

See all articles by Christelle Baunez

Christelle Baunez

Aix-Marseille University - Institut de Neurosciences de la Timone (INT)

Mickael Degoulet

Aix-Marseille University

Stephane Luchini

National Center for Scientific Research (CNRS) - Research Group in Quantitative Saving (GREQAM), EHESS

Matteo Louis Pintus

University of Paris-Saclay - AgroParisTech

Patrick Pintus

Aix-Marseille University and CNRS

Miriam Teschl

Ecole des Hautes Etudes en Sciences Sociales (EHESS)

Date Written: April 27, 2022

Abstract

We provide a novel way to correct the effective reproduction number for the time-varying amount of tests, using the acceleration index as a simple measure of viral spread dynamics (Baunez et al., 2021). Not doing so results in the reproduction number being a biased estimate of viral acceleration and we provide a formal decomposition of the resulting bias, involving the useful notions of test and infectivity intensities. When applied to French data for the COVID-19 pandemic (May 13 - November 19, 2020), our decomposition shows that the reproduction number, when considered alone, consistently underestimates the resurgence of the pandemic since the summer of 2020, compared to the acceleration index which accounts for the time-varying volume of tests. Because the acceleration index aggregates all relevant information and captures in real time the sizable time variation featured by viral circulation, it is a more parsimonious indicator to track the dynamics of an infectious disease outbreak in real time, compared to the equivalent alternative which would be to complement the reproduction number with the test and infectivity intensities.

Note: Funding: This work was supported by French National Research Agency Grants ANR-17-EURE-0020.

Declaration of Interests: The authors declare no competing interests.

Keywords: COVID-19, Reproduction Number, Testing, Acceleration Index, Real-time Analysis, France

JEL Classification: I18, H12

Suggested Citation

Baunez, Christelle and Degoulet, Mickael and Luchini, Stephane and Pintus, Matteo Louis and Pintus, Patrick and Teschl, Miriam, Correcting the Reproduction Number for Time-Varying Tests: a Proposal and an Application to COVID-19 in France (April 27, 2022). Available at SSRN: https://ssrn.com/abstract=3741128 or http://dx.doi.org/10.2139/ssrn.3741128

Christelle Baunez

Aix-Marseille University - Institut de Neurosciences de la Timone (INT) ( email )

UMR7289 CNRS & AMU (Aix Marseille Université)
France

Mickael Degoulet

Aix-Marseille University ( email )

3 Avenue Robert Schuman
3 Avenue Robert Schuman,
Aix-en-Provence, 13628
France

Stephane Luchini

National Center for Scientific Research (CNRS) - Research Group in Quantitative Saving (GREQAM), EHESS ( email )

Centre de la Vieille Charité
2, rue de la Charité
Marseille, 13002
France

Matteo Louis Pintus

University of Paris-Saclay - AgroParisTech ( email )

55 Avenue de Paris
Versailles, 78000
France

Patrick Pintus (Contact Author)

Aix-Marseille University and CNRS ( email )

Ilot Bernard Dubois
5-9 Boulevard Maurice Bourdet
Marseille, 13001
France
0609397281 (Phone)

HOME PAGE: http://https://sites.google.com/site/patrickpintus/

Miriam Teschl

Ecole des Hautes Etudes en Sciences Sociales (EHESS) ( email )

54, boulevard Raspail
Paris, 75006
France

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