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

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

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