Evidence map›Paper›PMID 35401852›Full record

ArticleJournal of ambient intelligence and humanized computing2022

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

Fazeelat Sultana, Muhammad Gulistan, Mumtaz Ali, Naveed Yaqoob, Muhammad Khan, Tabasam Rashid, Tauseef Ahmed

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In one paragraph

Article in Journal of ambient intelligence and humanized computing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Fazeelat Sultana *Department of Mathematics and Statistics, Hazara University Mansehra, 21120 Mansehra, Khyber Pakhtunkhwa Pakistan.
Muhammad Gulistan *Department of Mathematics and Statistics, Hazara University Mansehra, 21120 Mansehra, Khyber Pakhtunkhwa Pakistan.ORCID 0000-0002-6438-1047
Mumtaz Ali *Deakin-SWU Joint Research Centre on Big Data, School of Information Technology, Deakin University, Burwood, VIC 3125 Australia.
Naveed Yaqoob *Department of Mathematics and Statistics, Riphah International University, I-14 Islamabad, Pakistan.
Muhammad Khan *Department of Genetics, Centre for Human Genetics, Hazara University Mansehra, 21120 Mansehra, Khyber Pakhtunkhwa Pakistan.
Tabasam Rashid *Department of Mathematics, University of Management and Technology, Lahore, Pakistan.
Tauseef Ahmed *Department of Epidemiology and Health Statistic, School of Public Health Southeast University, Nanjing, 210009 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

GraphsPlithogenic graphsPlithogenic sets

Identifiers

PMID35401852
PMCPMC8978528

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Registered trials

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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.