Spectral analysis of the daily evolution of deaths due to Covid-19 in France and in the world shows a weekend effect: myth or reality?
CONSTANTINESCO, A.; ISRAEL-JOST, V.; CHOQUET, P.
Show abstract
BackgroundThe weekend effect has been extensively observed for different diseases and countries and recognized as a fact but without obvious causes. ObjectivesIn this paper we first aimed at investigating the existence of a periodicity in the death count due to Covid-19, and second, at opening the discussion concerning the reality of this effect in this particular context. MethodsDaily statistics of deaths due to the Covid-19 pandemic were subjected to a discrete Fourier transform spectral analysis for France and the world, over the periods from March 29 to May 16, 2020 and from January 22 to May 18, 2020 respectively. ResultsIn both cases, a frequency peak of one harmonic corresponding to a period of 7.11 days was observed for France and the world. In France, this weekly frequency corresponds to a decrease in deaths every Sunday, whereas for the world the systematic decrease is shifted on average by 1.5 days and corresponds to Saturday or Friday. ConclusionAt the world scale and for the epidemic period we confirm the existence of a consecutive weekend effect in the context of the Covid-19 pandemic.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- A geometric approach to human stress based on stress-related surrogate measures 94%
- Prediction of confirmed and death cases of Covid-19 in Chile through time series techniques: A comparative study 94%
- Anticipation of ventricular tachyarrhythmias by a novel mathematical method: Further insights towards an early warning system in implantable cardioverter defibrillators 93%
Similar papers in this journal
- A new, simple method of describing COVID-19 trajectory and dynamics in any country based on Johnson Cumulative Distribution Function fitting 94%
- Morningness-eveningness assessment from mobile phone communication analysis 93%
- Mathematical modelling of dynamics and containment of COVID-19 in Ukraine 93%
Similar papers in this journal
- Local and Global Measures of Information Storage for the Assessment of Heartbeat-Evoked Cortical Responses 93%
- Evaluating three different adaptive decomposition methods for EEG signal seizure detection and classification 93%
- A Transfer Entropy-based methodology to analyze information flow under eyes-open and eyes-closed conditions with a clinical perspective 92%
Similar papers in this journal
Similar papers in this journal
- Analysis of the prediction of the 2021 time-evolution of the Covid-19 Pandemic in Italy using a Planck’s distribution 94%
- Prediction of the time evolution of the Covid-19 Pandemic in Italy by a Gauss Error Function and Monte Carlo simulations 92%
- An improved mathematical prediction of the time evolution of the Covid-19 Pandemic in Italy, with Monte Carlo simulations and error analyses 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.