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Information Tracking about COVID 19

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

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 1325

Special Issue Editors


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Guest Editor
Inria Saclay Ile-de-France, 91120 Palaiseau, France
Interests: algorithms; information theory; telecommunication; artificial intelligence

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Guest Editor
Inria, Saclay Ile-de-France Research Centre, 91120 Palaiseau, France
Interests: wireless multi-hop networks; Internet of Things; modern methods and architectures of communications; 5G-and-beyond communication
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The COVID-19 pandemic constituted the most devastating health event worldwide to be witnessed in the past 100 years. It disrupted major economies, placed half of humanity under months-long lockdowns and threatened the foundations of global trade. The worldwide death toll exceeded 6 million; indeed, the pandemic remains ongoing due to the virus's extreme mutability. The aim of this Special Issue is to address COVID-19-related issues, particularly those concerning information theory, complexity theory, artificial intelligence, and quantum simulations. The topics covered in this Issue, while not exhaustive, include:

  • The genomic analysis of the virus, hypotheses about its origins, and predictions of its future mutations, primarily from an information–theory perspective.
  • Inference of protein features, e.g., using artificial intelligence or quantum simulations, and analysis of the long-term medical effects of the disease.
  • Models of spatiotemporal disease propagation and predictions of future epidemic trends.
  • The application of complexity and information theories to design tracking devices and applications in order to limit virus exposure on both individual and collective levels.
  • Perspectives on future pandemics. 

Prof. Dr. Philippe Jacquet
Dr. Cédric Adjih
Guest Editors

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.

Published Papers (1 paper)

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13 pages, 501 KiB  
Article
Information Theoretic Study of COVID-19 Genome
by Philippe Jacquet
Entropy 2024, 26(3), 223; https://doi.org/10.3390/e26030223 - 1 Mar 2024
Viewed by 999
Abstract
In this paper, we analyse the genome sequence of COVID-19 on a information point of view, and we compare that with past and present genomes. We use the powerful tool of joint complexity in order to quantify the similarities measured between the various [...] Read more.
In this paper, we analyse the genome sequence of COVID-19 on a information point of view, and we compare that with past and present genomes. We use the powerful tool of joint complexity in order to quantify the similarities measured between the various potential parent genomes. The tool has a computing complexity of several orders of magnitude below the classic Smith–Waterman algorithm and would allow it to be used on a larger scale. Full article
(This article belongs to the Special Issue Information Tracking about COVID 19)
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