Using Innovations in Big Data and Technology to Address the High Rate of Infant Mortality in Greater Columbus Ohio
The objectives of this one-year planning project are to: 1) identify data gaps that present local barriers to achieving optimal maternal and infant health and their effect on proximate causes of infant mortality in the community; 2) align with key stakeholders and partners in the community with a goal to identify opportunities where technology, especially connectivity and mobility, could be leveraged to address barriers and speed-up progress; and 3) utilize our technological and content expertise to design and implement novel interventions for improving maternal and infant health. Since 2014 there have been a number of local efforts to address Franklin County's high rate of infant mortality to no avail. As such, there is a dire need for a coordinated novel multidisciplinary approach. The primary focus and intellectual contribution of this planning grant is to work closely with stakeholders to plan strategies to identify the key contributors of infant mortality in Franklin County (i.e., likely specific social determinants of health) and to develop novel interventions driven by innovations in BIGDATA technology.
-
Performance PeriodSeptember 2017 - February 2020
-
Ohio State University
-
Award Number1737560
-
Lead PIRaghu Machiraju
-
Co-PIJohn Volakis
-
Co-PICourtney Lynch
-
Co-PIChristopher Browning
-
Co-PIAnish Arora
Raghu Machiraju serves on the faculty at The Ohio State University in the Department of Biomedical Informatics and the Department of Computer Science and Engineering. He serves also as the Interim Faculty Lead of Translational Data Analysis � a pan-university effort foster data science in multiple disciplines. His interests include data analysis and visualization especially as they apply to topics in biology, medicine and engineering. Over the years he also been increasingly working on problems of computationally biology and bioinformatics. These days, it is all about multi-omics and images. You can learn more about what he does for his day job on his research page and he has worked with several mentees and collaborators. He continues his quest albeit in a more deliberate manner. He does have other pre-occupations � he is on a mission to automate biology with cheap yet smart robots, co-author a book on molecular imaging, manage a data contest on somatic mutation calling, and travel the world with his family.