Nicole M. Bouvier is an American physician who is Professor of Medicine at Icahn School of Medicine at Mount Sinai. Her research considers the environmental and viral factors that impact respiratory transmission of influenza viruses.
Bouvier was a student of studio artsatWilliams College. She moved to Columbia University as a medical student, where she completed her pre-medical coursework. She was a doctor of medicine at the Icahn School of Medicine at Mount Sinai, where she graduated with a Distinction in Research. She was a medical intern and resident at the Mount Sinai Hospital. After graduating, Bouvier was appointed a postdoctoral research fellow on the Physician-Scientist Research Training Program, where she worked alongside Peter Palese and started to study transmission of influenza that is resistant to oseltamivir. Bouvier makes use of guinea pig models.
Bouvier was a clinical fellow in infectious disease at Mount Sinai Hospital from 2009 and appointed Assistant Professor in 2011.[citation needed] She has studied the impact of highly transmissible, highly pathogenic influenza viruses.[1][2]
In 2018, Bouvier told the Chicago Tribune, "It certainly is possible that a flu virus could again arise in the animal reservoir that is more pathogenic than the typical flu,".[3] She said that despite the risk, medical researchers were much better prepared to create vaccinations more quickly.[3] In 2019, she showed that louder talkers are more likely to spread airborne diseases.[4]
During the early days of the COVID-19 pandemic, Bouvier was involved with a study into the efficacy of convalescent plasma[5] as a treatment for COVID-19.[6][7][8][9] She studied the transfer of SARS-CoV-2 in both airborne dust and expiratory droplets.[10][11] She investigated the impact of face masks on the flow or airborne particles, and found it reduced the flow of particles considerably.[12][13] Even when the masks were poorly fitting (e.g. surgical and cloth face masks), the efficiency was around 70% for talking and 90% for coughing.[14]
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