ArticleJournal of theoretical biology2020
True epidemic growth construction through harmonic analysis.
Article in Journal of theoretical biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Ground reality versus model-based computation of basic reproductive numbers in epidemics.Journal of mathematical analysis and applications · 2022Article
- Global analysis of the COVID-19 pandemic using simple epidemiological models.Applied mathematical modelling · 2021Article
- Sensitivity and elasticity analysis of novel corona virus transmission model: A mathematical approach.Sensors international · 2021Article
- Epidemic Dynamics via Wavelet Theory and Machine Learning with Applications to Covid-19.Biology · 2020Article
- Level of underreporting including underdiagnosis before the first peak of COVID-19 in various countries: Preliminary retrospective results based on wavelets and deterministic modeling.Infection control and hospital epidemiology · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this paper, we have proposed a two-phase procedure (combining discrete graphs and wavelets) for constructing true epidemic growth. In the first phase, a graph-theory-based approach was developed to update partial data available and in the second phase, we used this partial data to generate plausible complete data through wavelets. We have provided two numerical examples. This procedure is novel and implementable and adaptable to machine learning modeling framework.
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Registered trials
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