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Entropy
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Entropy-Based Methods to Characterize Infectious Diseases
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Entropy-Based Methods to Characterize Infectious Diseases

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Complexity".

Deadline for manuscript submissions: closed (18 May 2022) | Viewed by 2016

Special Issue Editor

Prof. Dr. Elbert E. N. Macau

E-Mail Website
Guest Editor
Institute of Science and Technology, Universidade Federal de Sao Paulo, São Paulo 12231-280, Brazil
Interests: nonlinear dynamics; chaos; complex systems; collective motion; data series analysis

Special Issue Information

Dear Colleagues,

The crisis of the COVID-19 pandemic represents a tremendous challenge for the scientific community. It has fostered the development of new approaches in all fields of science to understand the disease and mitigate its propagation. One of the key issues is related to propagation modeling and dynamics characterization. Population behavior, governmental non-drug control measures, and the appearance of virus mutations and variants implies a complex behavior that makes propagation forecasting and dynamics characterization very difficult.

The aim of this Special Issue is to present surveys as well as original and recent developments focusing on how entropy-based approaches can be used to properly address the previously mentioned open topics. The contributions can be theoretical or applied, based on data series.

I look forward for your submissions.

Prof. Dr. Elbert E. N. Macau
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Covid-19
  • epidemiology modelling
  • time series analysis
  • entropy
  • complexity
  • dynamics
  • forecasting

Published Papers (1 paper)

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Research

23 pages, 1663 KiB  
Article
A Multi-Criteria Decision Support and Application to the Evaluation of the Fourth Wave of COVID-19 Pandemic
by Constanta Zoie Radulescu, Marius Radulescu and Radu Boncea
Entropy 2022, 24(5), 642; https://doi.org/10.3390/e24050642 - 3 May 2022
Cited by 6 | Viewed by 1546
Abstract
The COVID-19 pandemic caused important health and societal damage across the world in 2020–2022. Its study represents a tremendous challenge for the scientific community. The correct evaluation and analysis of the situation can lead to the elaboration of the most efficient strategies and [...] Read more.
The COVID-19 pandemic caused important health and societal damage across the world in 2020–2022. Its study represents a tremendous challenge for the scientific community. The correct evaluation and analysis of the situation can lead to the elaboration of the most efficient strategies and policies to control and mitigate its propagation. The paper proposes a Multi-Criteria Decision Support (MCDS) based on the combination of three methods: the Group Analytic Hierarchy Process (GAHP), which is a subjective group weighting method; Extended Entropy Weighting Method (EEWM), which is an objective weighting method; and the COmplex PRoportional ASsessment (COPRAS), which is a multi-criteria method. The COPRAS uses the combined weights calculated by the GAHP and EEWM. The sum normalization (SN) is considered for COPRAS and EEWM. An extended entropy is proposed in EEWM. The MCDS is implemented for the development of a complex COVID-19 indicator called COVIND, which includes several countries’ COVID-19 indicators, over a fourth COVID-19 wave, for a group of European countries. Based on these indicators, a ranking of the countries is obtained. An analysis of the obtained rankings is realized by the variation of two parameters: a parameter that describes the combination of weights obtained with EEWM and GAHP and the parameter of extended entropy function. A correlation analysis between the new indicator and the general country indicators is performed. The MCDS provides policy makers with a decision support able to synthesize the available information on the fourth wave of the COVID-19 pandemic. Full article
(This article belongs to the Special Issue Entropy-Based Methods to Characterize Infectious Diseases)
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