Category Archives: Epidemiology

The Mathematics Behind Biological Invasions

When asked to give an invited lecture at the first ever Mathematical Congress of the Americas, I jumped at the chance. This would be an opportunity to meet new colleagues from the Americas and to share my interest in mathematical ecology. Continue reading

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Talking Across Fields

The AIM workshop on exponential random network models was an experiment, bringing together people in applied social sciences, biologists, statisticians, and mathematicians who are interested in the emerging field of graph limit theory. Continue reading

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DIMACS/CCICADA Collaboration on REU and Other Sustainability Projects

The Center for Discrete Mathematics and Theoretical Computer Science (DIMACS) and the Command Control Interoperability Center for Advanced Data Analysis (CCICADA), both based at Rutgers University, have collaborated on some recent activities to enhance the summer experience for several undergraduate students participating in the DIMACS/CCICADA Research Experiences for Undergraduates (REU) program. DIMACS and CCICADA recently co-hosted a workshop on Science and Technology Innovations in Hurricane Sandy Research. Continue reading

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Random Networks and the Spread of HIV

Martina Morris, a Professor of Sociology and Statistics at the University of Washington, studies the transmission of sexually transmitted diseases like HIV using network analysis. Continue reading

Posted in Epidemiology, Mathematics, Public Health | 1 Comment

Workshop “Major and Neglected Diseases in Africa,” May 6-10, 2013

A workshop on “Major and Neglected Diseases in Africa” was held at the University of Ottawa, May 6-10, 2013. Continue reading

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Report on “Models and Methods in Ecology and Epidemiology (M2E2)”

“Science without data is science-fiction.” This was on of the boldest (if more facetious…) statements heard at the workshop “Models and Methods in Ecology and Epidemiology (M2E2)” held at CRM last week. Speakers from very diverse backgrounds presented a wide rage of mathematical models developed to better understand the dynamics and propagation mechanisms of, amongst others, Avian Flu, Lyme Disease and the West Nile virus. Throughout the presentations, the pervasive role played by data incorporation in the models was emphasized, and the equally important organization of model development as a team effort was underlined. Continue reading

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“Models and Methods in Ecology, Epidemiology (M2E2)”

A scientific workshop, as part of the pan-Canadian MPE2013 thematic program “Models and Methods in Ecology, Epidemiology and Public Health (M2E2)”, started at CRM today. The workshop, focusing on models and methods in ecology and epidemiology, was designed to initiate … Continue reading

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Using Mathematical Modeling to Eradicate Diseases

The Guinea Worm Disease, which already affected 50 million people, is almost eradicated with fewer than 2000 cases. What happened? Mathematical modeling helps identifying the most relevant parameter and design a strategy of action. Continue reading

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