Evidence map›Paper›PMID 33519105›Full record

ArticleChaos, solitons, and fractals2020

Momentum managing epidemic spread and Bessel functions.

Ivan Cherednik

Abstract read
In one paragraph

Article in Chaos, solitons, and fractals, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Modeling the Waves of Covid-19.Acta biotheoretica · 2021
    Article
  2. Universal Epidemic Curve for COVID-19 and Its Usage for Forecasting.Transactions of the Indian National Academy of Engineering : an international journal of engineering and technology · 2021
    Article
  3. COVID-19 Pandemic: Power Law Spread and Flattening of the Curve.Transactions of the Indian National Academy of Engineering : an international journal of engineering and technology · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Ivan CherednikDepartment of Mathematics, UNC Chapel Hill, North Carolina 27599, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Starting with the power law for the total number of detected infections, we propose differential equations describing the effect of momentum epidemic management. Our 2-phase formula matches very well the curves of the total numbers of the Covid-19 infection in many countries; the first phase is described by Bessel functions. It provides projections for the saturation, assuming that the management is steady. We discuss Austria, Brazil, Germany, Japan, India, Israel, Italy, the Netherlands, Sweden, Switzerland, UK, and the USA, including some analysis of the second waves.

Indexed as

33C1092B05Bessel functionsEpidemic psychologyEpidemic spread

Identifiers

PMID33519105
PMCPMC7831999

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.