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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.
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.
Women’s bodies can be mysterious things—even to the women who inhabit them. But a wearable gadget called the Yono aims to replace mystery with knowledge derived from statistics, big data, and machine learning.
An international consortium of scientists has analyzed protein-coding genes from nearly 46,000 people, linking rare DNA alterations to type 2 diabetes. The study, one of the largest known of its type, includes data from people of European, African American, Hispanic/Latino, East Asian, and South Asian ancestries.
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.