[IPOL announce] new article: A Daily Measure of the SARS-CoV-2 Effective Reproduction Number for all Countries
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Tue Dec 15 17:44:33 CET 2020
A new article is available in IPOL: https://www.ipol.im/pub/art/2020/304/
Tahar Zamene Boulmezaoud, Luis Álvarez, Miguel Colom, and Jean-Michel
Morel,
A Daily Measure of the SARS-CoV-2 Effective Reproduction Number for all
Countries,
Image Processing On Line, 10 (2020), pp. 191–210.
https://doi.org/10.5201/ipol.2020.304
Abstract
We describe a transparent method calculating an 'effective reproduction
number (ERN)' from the daily count (incidence) of newly detected cases
in each country, in the EU and in each US state. We aim at getting a
result as faithful as possible to the observed data, which are very
noisy. The noise, being specific of administrations, shows a seven days
period. Hence the incidence curve is first filtered by a seven days mean
or median filter.
Then the ERN is computed by a classic reproduction formula due to
Nishiura. To do so requires knowledge of the serial interval function
Phi(s) which models the time between the onset of symptoms in a primary
case and the onset of symptoms in secondary cases, or equivalently the
probability that a person confirmed infected today was actually infected
s days earlier by another confirmed infected person. We use and compare
several recently proposed evaluations of Phi, and verify that their
variation has moderate practical incidence on the evaluation of the ERN.
The method we present derives from Nishiura's formula but we prove that
for the adequate choice of parameters it is identical to one of the
methods proposed by the classic EpiEstim (Estimate Time Varying
Reproduction Numbers from Epidemic Curves) software. We find that the
same method can be applied to compute an effective reproduction number
from the daily death count, which yields therefore another prediction of
the expansion of the pandemic. Although this application has no clear
theoretical justification, we find good experimental fit of the ERN
curves obtained from the incidence and from the death curve, up to a
time shift. In most countries, both curves appear to be similar, with a
time delay that depends on each country's detection and administrative
processing delays. Both ERNs can be consulted daily online in the demo
tag associated with this paper. We refer the readers to the online demo
to experiment by themselves. In the case of France, an ERN based on
hospitalizations, new entries in ICU's and deaths at hospitals is also
computed daily.
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