Author archives

Marisa Eisenberg received her Ph.D. and M.S. in Biomedical Engineering from the University of California, Los Angeles in 2009. She then spent three years as a postdoctoral fellow studying mathematical biology at the Mathematical Biosciences Institute at Ohio State University, before joining the faculty at University of Michigan as an assistant professor in the Department of Epidemiology. Marisa Eisenberg's research is in mathematical biology, and is centered around using and developing parameter estimation and identifiability techniques to connect math models and disease data. Her recent research has been primarily in modeling infectious diseases, particularly examining cholera and waterborne disease. She has also developed models of cancer and endocrine disorders. Some current areas of interest include: parameter identifiability and estimation, infectious diseases, cholera and waterborne diseases, cancer modeling, global health, networks and complexity.

As viral infections skyrocket, masks are still a tried-and-true way to help keep yourself and others safe

The cold and flu season of 2023 has begun with a vengeance. Viruses that have been unusually scarce over the past three years are reappearing at remarkably high levels, sparking a “tripledemic” of COVID-19, the flu and respiratory syncytial virus, or RSV. This November’s national hospitalization levels for influenza were the highest in 10 years. Emily Toth Martin and Marisa Eisenberg are infectious disease epidemiologists and researchers, and have spent our careers focused on understanding how viruses spread and how best to stop them. To respond to the COVID-19 pandemic, public health colleagues have had to quickly revive and apply decades of evidence on respiratory virus transmission to chart a path forward. Over the course of the pandemic, epidemiologists have established with new certainty the fact that one of our oldest methods for controlling respiratory viruses, the face mask, remains one of the most effective tools in a pandemic.

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Subjects: Health, Healthcare, Medical Research
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