Special Issue: Modeling Infectious Diseases in the light of COVID-19 pandemic

Guest Editors

Prof. Pierre Magal
Institut de Mathématiques de Bordeaux, University of Bordeaux, France
Email: pierre.magal@u-bordeaux.fr

Prof. Xi Huo
Department of Mathematics, University of Miami, Coral Gables, FL 33146, USA
Email: xihuo@math.miami.edu

Prof. Quentin Griette
Institut de Mathématiques de Bordeaux, University of Bordeaux, France
Email: quentin.griette@u-bordeaux.fr

Manuscript Topics

Many outbreaks of new human diseases have been detected worldwide in the past decade, including Ebola, Zika, the recent pandemic of COVID-19. It appears more important to prepare for the emergence of new pathogens with a significant disruptive potential for society. The COVID-19 outbreak has boosted research on epidemiological models and will continue stimulating new ideas in quantifying the evolutionary dynamics of other infectious diseases.

In this special issue, we will collect infectious disease modeling studies, including, but not limited to, the recent COVID-19 outbreak. We will collect timely papers on modeling studies concerning the biological, epidemiological, immunological, molecular, and virological aspects of disease outbreaks (including, but not limited to, the recent COVID-19 outbreak).

This Special Issue aims to bring together theoreticians, mathematical modelers, biophysicists, biologists, and medical doctors to improve our understanding of the disease by using several approaches.

Instructions for authors
Please submit your manuscript to online submission system

Paper Submission

All manuscripts will be peer-reviewed before their acceptance for publication. The deadline for manuscript submission is 31 December 2022

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