Applications are open
Apply Today
Despite India's drastic nine-week shutdown and amid relaxing restrictions, the country now has the fourth-largest number of coronavirus cases in the world. Professor and chair of Biostatistics Bhramar Mukherjee offers an update on the trend and how a group of researchers are developing models to visualize the data.
The Michigan Institute for Data Science announced seven interdisciplinary teams, chosen from 49 submissions, will receive funding of up to $30,000 for COVID-19 research. Several of the projects chosen are from researchers at the University of Michigan School of Public Health.
The Wearables In Reducing Risk and Enhancing Daily Lifestyle Center (WIRED-L) aims to investigate how mobile health (mHealth) technology, such as smartwatches and smartphones, can be used to study and improve health behaviors among hypertensive populations. Bhramar Mukherjee, Chair and professor of Biostatistics, serves as co-investigator of the center.
We are all eager to get back to work, but how do we move forward in a way that safeguards the public’s health?
We’re all wondering when we can return to work, see friends and family, and get back to some sense of normal. Meanwhile, we might notice that a planned temporary hospital wasn’t built or that some data seems to show a reduction in the spread of coronavirus. What do we do with emerging shades of gray in a situation that seemed so black and white not too long ago?
Bhramar Mukherjee, a professor and chair of biostatistics at the University of Michigan's School of Public Health, leads a team of researchers that, as the coronavirus pandemic unfolded around the world, used standard epidemiologic models to do a situational assessment of the crisis in India—providing real-time data for authorities to assist leadership in addressing this global pandemic.