Manuscript Topics

Over the last decades, mathematical models and computational tools are increasingly used to study infectious diseases and guide public health policies in disease prevention and control. With the availability of novel datasets and advances in computational techniques, modern computational epidemiology has been integrated into public health systems to support the prevention and control of infectious agents. During the COVID-19 pandemic, mathematical models played a key role in understanding the within- and between-host transmission dynamics of SARS-CoV-2, evaluating impacts of various intervention measures, and predicting the course of the pandemic, among others. This special issue aims to collect recent advances in mathematical models and computational tools of infectious diseases. We welcome submissions related to but not limited to the following topics:

• Infectious disease modeling, forecasting, and control
• Complex network models for infectious diseases
• Inference of epidemiological features of infectious diseases
• Data-driven modeling methods for infectious diseases
• Within-host modeling of infectious diseases
• Artificial intelligence, machine learning and big data analytics of infectious diseases
• Applications to public health, social science, economics, engineering, and other areas related to infectious diseases

Instruction for Authors
http://www.aimspress.com/mbe/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/