Vector-borne Diseases: Data, Modeling, and Analysis
Wednesday, June 16 at 09:30am (PDT)Wednesday, June 16 at 05:30pm (BST)Thursday, June 17 01:30am (KST)
Jing Chen (Nova Southeastern University, United States), Shigui Ruan (University of Miami, United States), Xi Huo (University of Miami, United States)
Global change in the 21st century poses a significant threat to human health and vector-borne diseases will change in distribution and intensity as a result of global warming. Understanding the impacts of temperature, precipitation, vector spread, and human behavior remains extremely challenging and is essential in predicting future vector-borne disease outbreaks. Mathematical models are important tools to provide comprehensive explanations and quantitative simulations on natural phenomenon via analysis and data fitting methods. In this mini-symposium, we gather researchers with expertise in modeling vector-borne diseases to share their recent advances in either mathematical analysis or data fitting techniques.