ArticleBiology2022
Spectral Method in Epidemic Time Series: Application to COVID-19 Pandemic.
Article in Biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- FaXNet: a frequency-adaptive, explainable, and uncertainty-aware network for influenza forecasting.Frontiers in public health · 2026Article
- Forecasting the Endemic/Epidemic Transition in COVID-19 in Some Countries: Influence of the Vaccination.Diseases (Basel, Switzerland) · 2023Article
- COVID-19 in Italy: Is the Mortality Analysis a Way to Estimate How the Epidemic Lasts?Biology · 2023Article
- Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe age of infection plays an important role in assessing an individual's daily level of contagiousness, quantified by the daily reproduction number. Then, we derive an autoregressive moving average model from a daily discrete-time epidemic model based on a difference equation involving the age of infection. Novelty: The article's main idea is to use a part of the spectrum associated with this difference equation to describe the data and the model.
resultsWe present some results of the parameters' identification of the model when all the eigenvalues are known. This method was applied to Japan's third epidemic wave of COVID-19 fails to preserve the positivity of daily reproduction. This problem forced us to develop an original truncated spectral method applied to Japanese data. We start by considering ten days and extend our analysis to one month.
conclusionWe can identify the shape for a daily reproduction numbers curve throughout the contagion period using only a few eigenvalues to fit the data.
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Registered trials
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