Hitachi and information options startup BurstIQ at present introduced the COVID-19 Data Challenge in partnership with the American Heart Association (AHA). The contest is an effort to advertise analysis into the connection between the coronavirus and different well being circumstances, in addition to well being disparities and the impact of social elements on well being outcomes. Data units offered by BurstIQ can be obtainable on the ASA’s Precision Medicine Platform to assist researchers decide the extent to which ethnicity, gender, geography, and earnings contribute to COVID-19 mortality charges. Hitachi, which constructed the platform, will furnish greater than $100,000 in prizes over the course of the problem.
Data on the intersection of race, under-resourced communities, and the coronavirus is proscribed thus far, however research recommend disproportionately excessive charges of sickness amongst African Americans, U.S. Hispanics, Native Americans, and people in rural areas. That may very well be as a result of members of those teams lack the monetary reserves to cowl bills in case of an emergency, according to the Pew Center, or as a result of there are sharp racial and ethnic variations in the case of experiences with COVID-19 or considerations about catching and spreading the virus.
Whatever the case, the COVID-19 Data Challenge is meant to speed up investigations into these considerations with the assistance of cloud-based analytics. Applicants can be afforded entry to the Precision Medicine Platform’s AWS-hosted workspaces, which supply an array of machine studying instruments, and can be permitted to carry their very own de-identified COVID-19 information units. But their analyses should think about well being disparities akin to poverty; environmental threats; insufficient entry to well being care; particular person and behavioral elements; and academic inequalities and social determinants like meals provide, housing, financial and social relationships, training, and well being care. Research can be peer-reviewed by a panel of six information science and public well being specialists.
Six $5,000 prizes can be awarded following the primary stage of the problem, after which the researchers will compete in a last stage for a $15,00 prize. Stage one begins at present and ends on July 12, and the second stage is scheduled to start out September 1 and conclude November 1.