• COVID-19 Archives

    The articles that appear in this issue are not refereed.  They are only provisionally approved and appear here until the full review process is complete.

    The novel coronavirus (SARS-CoV-2) disease, also called COVID-19, emerged in Wuhan, Hubei Province in China in December 2019. The outbreak is already responsible for the loss of tens of thousands of lives and has become an unprecedented threat to public health worldwide. Currently many research groups are focusing on examining epidemic models to control and predict the global spread of the virus.

    With this special issue of the journal, we are aiming to establish a collection of articles on mathematical models for transmission of this and similar infectious diseases. Understanding the epidemic trends that stem from the city of Wuhan will help in predicting future outbreaks as well as in identifying the best possible mitigation strategies.

    Guest Editors
    Olcay Akman, Illinois State University
    Anuj Mubayi, Arizona State University

  • Special Issue
    Vol 6 No 2 (2019)

    Modeling Complex Dynamics of Structured
    Populations in Life & Social Sciences
    Guest Editor:
    Anuj Mubayi, Arizona State University
    D.K.K. Vamsi ,SSSIHL, Puttaparthi, India
    Pallav K. Baruah, SSSIHL, Puttaparthi, India
    Padmanabhan Seshaiyer, George Mason University

  • Special Issue
    Vol 5 No 2 (2018)

    Modelling Tumour-Immune Dynamics,
    Disease Progression and Treatment
    Guest Editors
    Amina Eladdadi, The College of Saint Rose
    Lisette de Pillis, Harvey Mudd College
    Peter Kim, The University of Sydney