Evidence map›Paper›PMID 33041473›Full record

ArticleMathematics and computers in simulation2021

COVID-19 pandemic and chaos theory.

O Postavaru, S R Anton, A Toma

Abstract read
In one paragraph

Article in Mathematics and computers in simulation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
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  9. Mathematical modeling of the outbreak of COVID-19.Network modeling and analysis in health informatics and bioinformatics · 2022
    Article
  10. Review
  11. Prediction and Analysis of Tourist Management Strategy Based on the SEIR Model during the COVID-19 Period.International journal of environmental research and public health · 2021
    Article
  12. Analysis of COVID-19 pandemics in Kazakhstan.Journal of research in health sciences · 2021
    Article
  13. Article
  14. Influence of Meteorological Factors on the COVID-19 Transmission with Season and Geographic Location.International journal of environmental research and public health · 2021
    Article
  15. Article
  16. 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

3 authors.

O PostavaruCenter for Research and Training in Innovative Techniques of Applied Mathematics in Engineering, Faculty of Applied Sciences, University Politehnica of Bucharest, Bucharest, 060042, Romania.
S R AntonCenter for Research and Training in Innovative Techniques of Applied Mathematics in Engineering, Faculty of Applied Sciences, University Politehnica of Bucharest, Bucharest, 060042, Romania.
A TomaCenter for Research and Training in Innovative Techniques of Applied Mathematics in Engineering, Faculty of Applied Sciences, University Politehnica of Bucharest, Bucharest, 060042, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The dynamics of COVID-19 is investigated with regard to complex contributions of the omitted factors. For this purpose, we use a fractional order SEIR model which allows us to calculate the number of infections considering the chaotic contributions into susceptible, exposed, infectious and removed number of individuals. We check our model on Wuhan, China-2019 and South Korea underlying the importance of the chaotic contribution, and then we extend it to Italy and the USA. Results are of great guiding significance to promote evidence-based decisions and policy.

Indexed as

Bernoulli polynomialsBlock-pulseCaputo derivativeEpidemic models

Identifiers

PMID33041473
PMCPMC7532837

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.