IN THE NEWS: Stacking Best Practices to Help Michiganders Safely Return to Work
Article by Dean DuBois Bowman and Sharon Kardia
We are all eager to get back to work, but how do we move forward in a way that safeguards the public’s health?
Biostatistics
Modeling the Impact of Lockdown Measures and Coronavirus Response in India
Q&A with Rupam Bhattacharyya
Rupam Bhattacharyya, a doctoral student at Michigan Public Health, is part of 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.
Coronavirus Modeling, Impact on India's Pandemic Response
Q&A with Bhramar Mukherjee
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.
Social Distancing: Data Models for a Model Response to an Outbreak
Q&A with Peter Song
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.
Delegation from Michigan Public Health Visit Africa to Support Global Public Health Research and Practice
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.
Genes for Good: Harnessing the Power of Facebook to Study a Large, Diverse Genetic Pool
New Research from Gonçalo Abecasis and Katharine Brieger
Collecting DNA samples for human genetic studies can be an expensive, lengthy process that has often made it difficult to include diverse populations. Now, University of Michigan researchers believe they have found a way to harness the power of social media to recruit a large, diverse participant pool.