Open AccessTracking the dynamics and allocating tests for COVID-19 in real-time: An acceleration index with an application to French age groups and départements
Author(s) -
Christelle Baunez,
Mickaël Degoulet,
Stéphane Luchini,
Patrick Pintus,
Miriam Teschl
Publication year - 2021
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0252443
Subject(s) - acceleration , index (typography) , pandemic , covid-19 , duration (music) , statistics , demography , tracking (education) , distribution (mathematics) , econometrics , geography , computer science , mathematics , psychology , medicine , sociology , physics , disease , classical mechanics , pathology , mathematical analysis , pedagogy , world wide web , acoustics , infectious disease (medical specialty)
An acceleration index is proposed as a novel indicator to track the dynamics of COVID-19 in real-time. Using data on cases and tests in France for the period between the first and second lock-downs—May 13 to October 25, 2020—our acceleration index shows that the pandemic resurgence can be dated to begin around July 7. It uncovers that the pandemic acceleration was stronger than national average for the [59–68] and especially the 69 and older age groups since early September, the latter being associated with the strongest acceleration index, as of October 25. In contrast, acceleration among the [19–28] age group was the lowest and is about half that of the [69–78]. In addition, we propose an algorithm to allocate tests among French “départements” (roughly counties), based on both the acceleration index and the feedback effect of testing. Our acceleration-based allocation differs from the actual distribution over French territories, which is population-based. We argue that both our acceleration index and our allocation algorithm are useful tools to guide public health policies as France might possibly enter a third lock-down period with indeterminate duration.