Evidence map›Paper›PMID 33145145›Full record

ArticleEuropean physical journal plus2020

Modeling and analysis of COVID-19 epidemics with treatment in fractional derivatives using real data from Pakistan.

Parvaiz Ahmad Naik, Mehmet Yavuz, Sania Qureshi, Jian Zu, Stuart Townley

Open access · bronzeAbstract read
In one paragraph

Article in European physical journal plus, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed
7.2field-weighted citation impact, top 2% of its field
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

64 citing papers in PubMed, 264 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

4 more citing papers are in PubMed but not listed here.

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

5 authors at 3 institutions in 4 countries.

Parvaiz Ahmad NaikSchool of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, 710049 Shaanxi People's Republic of China.
Mehmet YavuzDepartment of Mathematics and Computer Sciences, Faculty of Science, Necmettin Erbakan University, 42090 Konya, Turkey.
Sania QureshiDepartment of Basic Sciences and Related Studies, Mehran University of Engineering and Technology, Jamshoro, 76062 Pakistan.
Jian ZuSchool of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, 710049 Shaanxi People's Republic of China.
Stuart TownleyDepartment of Mathematics, College of Engineering, Mathematics and Physical Sciences, University of Exeter, TR10, Cornwall, UK.
University of Exeter · GBXi'an Jiaotong University · CNMehran University of Engineering and Technology · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronaviruses are a large family of viruses that cause different symptoms, from mild cold to severe respiratory distress, and they can be seen in different types of animals such as camels, cattle, cats and bats. Novel coronavirus called COVID-19 is a newly emerged virus that appeared in many countries of the world, but the actual source of the virus is not yet known. The outbreak has caused pandemic with 26,622,706 confirmed infections and 874,708 reported deaths worldwide till August 31, 2020, with 17,717,911 recovered cases. Currently, there exist no vaccines officially approved for the prevention or management of the disease, but alternative drugs meant for HIV, HBV, malaria and some other flus are used to treat this virus. In the present paper, a fractional-order epidemic model with two different operators called the classical Caputo operator and the Atangana-Baleanu-Caputo operator for the transmission of COVID-19 epidemic is proposed and analyzed. The reproduction number

Identifiers

PMID33145145
PMCPMC7594999
OpenAlexW3095818485

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.