Special Issue: Multiscale modeling in epidemiology
Guest Editors
Dr. Xueying Wang
Department of Mathematic and Statistics, Washington State University, Pullman, WA, USA
Email: xueying@math.wsu.edu
Dr. Libin Rong
Department of Mathematics, University of Florida, Gainesville FL, USA
Email: libinrong@ufl.edu
Dr. Jin Wang
Department of Mathematics, University of Tennessee at Chattanooga, Chattanooga, TN
Email: jin-wang02@utc.edu
Manuscript Topics
Infectious diseases continue to pose a major threat to public health, leading to high morbidity and mortality throughout the world. The past few decades have witnessed a dramatic increase in the frequency and severity of disease outbreaks. Effective epidemic and pandemic management require a quantitative understanding of the multiscale nature of infectious disease dynamics. Multiscale modeling usually requires the development of sophisticated mathematical models, and novel computational and analytical techniques to accurately capture the diversity and complexity of the problems, and to deeply understand various phenomena relevant to disease transmission and spread, host-pathogen interaction, and pathogen evolution. The aim of this special issue is to collect recent developments of multiscale modeling in epidemiology and to bring together computational scientists, mathematical modelers, biologists, and medical professionals to enrich this research area.
Topics include, but are not limited to, the following:
• population-level disease transmission and spread
• within-host dynamics that involve intracellular, extracellular, and tissue-level interactions and complex immune responses
• environmental evolution of pathogens
• host-pathogen-vector interactions
• nested multiscale modeling techniques where the flow of information is unidirectional
• models that bridge between-host and within-host dynamics with two-way coupling
Instructions for authors
https://www.aimspress.com/mbe/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/