Evidence map›Paper›PMID 36877702›Full record

ArticlePloS one2023

Fractional order SEIQRD epidemic model of Covid-19: A case study of Italy.

Subrata Paul, Animesh Mahata, Supriya Mukherjee, Prakash Chandra Mali, Banamali Roy

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In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Subrata PaulDepartment of Mathematics, Arambagh Government Polytechnic, Arambagh, West Bengal, India.
Animesh MahataMahadevnagar High School, Maheshtala, Kolkata, West Bengal, India.ORCID 0000-0002-4261-0611
Supriya MukherjeeDepartment of Mathematics, Gurudas College, Narkeldanga, Kolkata, West Bengal, India.ORCID 0000-0001-5586-8358
Prakash Chandra MaliDepartment of Mathematics, Jadavpur University, Kolkata, India.
Banamali RoyDepartment of Mathematics, Bangabasi Evening College, Kolkata, West Bengal, India.ORCID 0000-0001-5231-1474

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The fractional order SEIQRD compartmental model of COVID-19 is explored in this manuscript with six different categories in the Caputo approach. A few findings for the new model's existence and uniqueness criterion, as well as non-negativity and boundedness of the solution, have been established. When RCovid19<1 at infection-free equilibrium, we prove that the system is locally asymptotically stable. We also observed that RCovid 19<1, the system is globally asymptotically stable in the absence of disease. The main objective of this study is to investigate the COVID-19 transmission dynamics in Italy, in which the first case of Coronavirus infection 2019 (COVID-19) was identified on January 31st in 2020. We used the fractional order SEIQRD compartmental model in a fractional order framework to account for the uncertainty caused by the lack of information regarding the Coronavirus (COVID-19). The Routh-Hurwitz consistency criteria and La-Salle invariant principle are used to analyze the dynamics of the equilibrium. In addition, the fractional-order Taylor's approach is utilized to approximate the solution to the proposed model. The model's validity is demonstrated by comparing real-world data with simulation outcomes. This study considered the consequences of wearing face masks, and it was discovered that consistent use of face masks can help reduce the propagation of the COVID-19 disease.

Indexed as

COVID-19EpidemicsComputer SimulationEpidemiological ModelsHumansItaly

Identifiers

PMID36877702
PMCPMC9987810

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