Evidence map›Paper›PMID 34925704›Full record

ArticleThe European physical journal. Special topics2022

A revisit to the past plague epidemic (India) versus the present COVID-19 pandemic: fractional-order chaotic models and fuzzy logic control.

Manashita Borah, Binoy Krishna Roy, Tomasz Kapitaniak, Karthikeyan Rajagopal, Christos Volos

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Article in The European physical journal. Special topics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Complex bio rhythms.The European physical journal. Special topics · 2022
    Article
  4. Long-term prediction of the sporadic COVID-19 epidemics induced byThe European physical journal. Special topics · 2022
    Article
  5. Article
4 · The record

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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.

Manashita BorahDepartment of Electrical Engineering, Tezpur University, Tezpur, 784028 India.
Binoy Krishna RoyDepartment of Electrical Engineering, NIT Silchar, Silchar, 788010 India.
Tomasz KapitaniakDivision of Dynamics, Lodz University of Technology, Stefanowskiego 1/15, 90-924 Lodz, Poland.
Karthikeyan RajagopalCenter for Nonlinear Systems, Chennai Institute of Technology, Chennai, India.
Christos VolosLaboratory of Nonlinear Systems-Circuits and Complexity, Physics Department, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

India is one of the worst hit regions by the second wave of COVID-19 pandemic and 'Black fungus' epidemic. This paper revisits the Bombay Plague epidemic of India and presents six fractional-order models (FOMs) of the epidemic based on observational data. The models reveal chaotic dispersion and interactive coupling between multiple species of rodents. Suitable controllers based on fuzzy logic concept are designed to stabilise chaos to an infection-free equilibrium as well as to synchronise a chaotic trajectory with a regular non-chaotic one so that the unpredictability dies out. An FOM of COVID-19 is also proposed that displays chaotic propagation similar to the plague models. The index of memory and heredity that characterise FOMs are found to be crucial parameters in understanding the progression of the epidemics, capture the behaviour of transmission more accurately and reveal enriched complex dynamics of periodic to chaotic evolution, which otherwise remain unobserved in the integral models. The theoretical analyses successfully validated by numerical simulations signify that the results of the past Plague epidemic can be a pathway to identify infected regions with the closest scenarios for the present second wave of Covid-19, forecast the course of the outbreak, and adopt necessary control measures to eliminate chaotic transmission of the pandemic.

Identifiers

PMID34925704
PMCPMC8665904

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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.