Evidence map›Paper›PMID 36456670›Full record

ArticleScientific reports2022

Fractional model for Middle East respiratory syndrome coronavirus on a complex heterogeneous network.

H A A El-Saka, Ibrahim Obaya, Seyeon Lee, Bongsoo Jang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 4 institutions in 2 countries.

H A A El-SakaMathematics Department, Faculty of Science, Damietta University, New Damietta, 34517, Egypt. halaelsaka@yahoo.com.
Ibrahim ObayaBasic Science Department, Nile Higher Institute for Engineering and Technology, Mansoura, Egypt.
Seyeon LeeDivision of Industrial Mathematics, National Institute for Mathematical Sciences, Daejeon, 34047, Republic of Korea.
Bongsoo JangDepartment of Mathematical Sciences, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea. bsjang@unist.ac.kr.
Damietta University · EGMansoura University · EGNational Institute for Mathematical Sciences · KRUlsan National Institute of Science and Technology · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, we present a new fractional epidemiological model on a heterogeneous network to investigate Middle East respiratory syndrome (MERS-CoV), which is caused by a virus in the coronavirus family. We also consider the development of equations for the camel population, given that it is the primary animal source of the virus, as well as direct human interaction with this population. The model is configured in an SIS form for both the human population and the camel population. We study the equilibrium positions of the system and the conditions for the existence of each of them, as well as the local stability of each equilibrium position. Then, we provide some numerical examples that compare real data and numerical results.

Indexed as

Coronavirus InfectionsMiddle East Respiratory Syndrome CoronavirusAnimalsCamelusEpidemiological ModelsHumans

Identifiers

PMID36456670
PMCPMC9713123
OpenAlexW4311082497

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.