Special Issue "Mathematical and Computational Methods against the COVID-19 Pandemics"

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Engineering Mathematics".

Deadline for manuscript submissions: 31 January 2021.

Special Issue Editor

Prof. Dr. J. Alberto Conejero
Website SciProfiles
Guest Editor
Instituto Universitario de Matemática Pura y Aplicada (IUMPA-UPV), Universitat Politècnica de València, E-46022 Valencia, Spain
Interests: applied mathematics; graph theory; data science; interdisciplinary applications of mathematics to computer science; engineering and biology
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

At the beginning of 2020, the world was shocked by the scale of the SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) crisis, causing social and economic collapse throughout the world, as no vaccine or treatment was available at the time. Moreover, in most countries, the existing number of ICU units could not cope with the vast number of people infected by the virus that leads to CoVID-19 (coronavirus disease).

The vast number of asymptomatic cases makes it harder to control the spread of the epidemics. In many cases, the limited amount of data, make it even harder to set precise models to predict the evolution of the disease. The well-known SIR type models have been useful in modeling the evolution of the pandemics. Although they were already very well-known for nearly one hundred years, a new interest in them has attracted researchers to continue working on them. 

Efforts in monitoring infected people from the presumed moment in which they were infected have shown to be effective in controlling the virus expansion. In this line, mathematics can contribute to the data management and development of app tools for monitoring human mobility.

Mathematics can also contribute to the modeling of side problems to the pandemics. We point out some of them, such as data quality analysis, network medicine, healthcare services management, the physical spreading of the virus in the environment, the subsequent impact on the economy, and the social response to confinement government measures.

In any case, all the contributions and developments will be beneficial in many ways aside from coping with pandemics. Some potential topics that this Special Issue will cover, but is not limited to, are as follows:

  • Epidemiological dynamics
  • Diffusion modeling 
  • Compartmental and SIR type models 
  • Human dynamics
  • Agent modeling of structured populations
  • Network medicine
  • Data quality
  • Artificial intelligence and deep learning models 
  • Data analysis of social media

Prof. Dr. J. Conejero
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 papers will be 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. Mathematics 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 1200 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

  • SIR model
  • Epidemiological modelling
  • Network medicine
  • Human dynamics
  • Data quality
  • COVID-19
  • SARS-CoV-2

Published Papers

This special issue is now open for submission.
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