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Organizers:
Nir Gavish (Technion )
Description:
Mathematical epidemiology, the modeling of the spread of epidemics, has a distinguished history and continues to be a very active field, with fruitful interaction of mathematical theory, computation, and data analysis. This mini-symposium will include presentations of recent results related to the mathematical modeling and theory of epidemics, and provide a forum for discussion among researchers. Issues to be addressed include control measures for epidemics, population immunity and vaccination, heterogeneity of populations, and parameter inference for epidemic models.
Diversity Statement:
We are pleased to announce a mini-symposium featuring a diverse group of scholars dedicated to advancing the field of epidemiology. Our panel includes Nir Gavish (Organizer), a white male; two female Korean researchers, Kyeongah Nah and Byul Nim Kim; and a white male scholar, Amit Huppert. We believe that diversity in thought, background, and experience enriches our academic community and fosters innovative solutions to complex problems.
Nir Gavish (Technion - IIT)
"Optimal vaccination in seasonal epidemics"
Kyeongah Nah (Busan Center for Medical Mathematics, National Institute for Mathematical Sciences)
"Age-structured modeling of tuberculosis in South Korea and insights for national control strategies"
Byul Nim Kim
"Regional Contributions to COVID-19 Spread in South Korea: Insights from Reproduction Number Estimation and Mobility Data"
Amit Huppert (School of Public Health, Tel Aviv University)
"Modeling density dependence predation in microbial systems"
