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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.
Biostatistics expert Peter Song and team have created a tool to assess the effectiveness of preventive measures in the fight against the COVID-19, still a new disease with many unknowns. The model lets us compare the impact of different levels of intervention so different locales can develop better strategies and policies to flatten the coronavirus curve.
A delegation of Michigan Public Health faculty and staff visited Kenya and Ethiopia in January 2020 to strengthen and build relationships with partners and to explore potential avenues for public health collaboration and research in Sub-Saharan Africa.
The University of Michigan School of Public Health’s Big Data Summer Institute has received a three-year grant from the National Heart, Lung, and Blood Institute to continue a program run by the Department of Biostatistics that introduces undergraduate students to the intersection of big data and human health.
From understanding the influence of congressional members’ Twitter accounts to discussing why the global crude oil price rose again after 2016, the second annual Data for Public Good Symposium will showcase the unique ways in which students, faculty, staff and community members have analyzed and assessed data to benefit others.