Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Apr 4:1-21.
doi: 10.1007/s12652-022-03772-6. Online ahead of print.

A study of plithogenic graphs: applications in spreading coronavirus disease (COVID-19) globally

Affiliations

A study of plithogenic graphs: applications in spreading coronavirus disease (COVID-19) globally

Fazeelat Sultana et al. J Ambient Intell Humaniz Comput. .

Erratum in

Abstract

During the last two decades, the world has experienced three major outbreaks of Coronaviruses, namely severe acute respiratory syndrome (SARS- CoV), middle east respiratory syndrome (MERS-CoV), and the current ongoing pandemic of severe acute respiratory syndrome 2 (SARS-CoV-2). The SARS-CoV-2 caused the disease known as Coronavirus Disease 2019 (COVID-19). Since its discovery for the first time in Wuhan, China, in December 2019, the disease has spread very fast, and cases have been reported in more than 200 countries/territories. In this study, the idea of Smarandache's pathogenic set is used to discuss the novel COVID-19 spread. We first introduced plithogenic graphs and their subclass, like plithogenic fuzzy graphs. We also established certain binary operations like union, join, Cartesian product, and composition of pathogenic fuzzy graphs, which are helpful when we discuss combining two different graphs. In the end, we investigate the spreading trend of COVID-19 by applying the pathogenic fuzzy graphs. We observe that COVID-19 is much dangerous than (MERS-CoV) and (SARS-CoV). Moreover, as the SARS-CoV and MERS-CoV outbreaks were controlled, there are greater chances to overcome the current pandemic of COVID-19 too. Our model suggests that all the countries should stop all types of traveling/movement across the borders and internally too to control the spread of COVID-19. The proposed model also predicts that in case precautionary measures have not been taken then there is a chance of severe outbreak in future.

Keywords: Graphs; Plithogenic graphs; Plithogenic sets.

PubMed Disclaimer

Conflict of interest statement

Conflict of interestAuthors declare that there is no conflict of interest.

Figures

Fig. 1
Fig. 1
a A plithogenic fuzzy graph PFG. b) A fuzzy graph
Fig. 2
Fig. 2
A plithogenic fuzzy graph PFG1
Fig. 3
Fig. 3
A plithogenic fuzzy graph PFG2
Fig. 4
Fig. 4
aUnion of two plithogenic fuzzy graphs PFG1UFG2. b Union of two fuzzy graphs
Fig. 5
Fig. 5
Plithogenic fuzzy graph PFG1
Fig. 6
Fig. 6
Plithogenic fuzzy graph PFG2
Fig. 7
Fig. 7
a Join of plithogenic fuzzy graphs PFG1+FG2. b Join of two fuzzy graphs
Fig. 8
Fig. 8
Plithogenic fuzzy graph PFG1
Fig. 9
Fig. 9
A plithogenic fuzzy graph PFG2
Fig. 10
Fig. 10
Cartesian product of two plithogenic graphs
Fig. 11
Fig. 11
Composition of two plithogenic fuzzy graphs
Fig. 12
Fig. 12
a A plithogenic graph showing effects of diffrent CoVs. b A fuzzy graph showing effects of different CoVs. c An intuitionistic fuzzy graph showing effects of different CoVs. d A nutrosophic graph showing effects of different CoVs
Fig. 13
Fig. 13
a Plithogenic graph showing spreading of COVID-19. b Fuzzy graph showing spreading of COVID-19. c A intuitionistic fuzzy graph showing spreading of COVID-19. d A neutrosophic graph showing spreading of COVID-19

Similar articles

References

    1. Abdel-Basset M, El-hoseny M, Gamal A, Smarandache F. A novel model for evaluation hospital medical care systems based on plithogenic sets. Artif Intell Med. 2019;100:1–8. doi: 10.1016/j.artmed.2019.101710. - DOI - PubMed
    1. Abdel-Basset M, Mohamed R. A novel plithogenic topsis-critic model for sustainable supply chain risk management. J Clean Prod. 2019;24:7119587. doi: 10.1016/j.jclepro.2019.119586. - DOI
    1. Abdel-Basset M, Mohamed R, Zaied ANH, Smarandache F. A hybrid plithogenic decision-making approach with quality function deployment for selecting supply chain sustainability metrics. Symmetry. 2019;11:903. doi: 10.3390/sym11070903. - DOI
    1. Ahmad T, Khan M, Haroon Musa TH, Nasir S, Hui J, Bonilla-Aldana DK, Rodriguez-Morales AJ. COVID-19: zoonotic aspects. Travel Med Infect Dis. 2020;36:101607. doi: 10.1016/j.tmaid.2020.101607. - DOI - PMC - PubMed
    1. Akram M. Interval-valued fuzzy line graphs. Neural Comput Appl. 2012;21:145–150. doi: 10.1007/s00521-011-0733-0. - DOI

LinkOut - more resources