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DBMI Contributing to COVID-19 Research

Recent Publications

Mistry S, Gouripeddi R, Facelli JC. Data-driven identification of temporal glucose patterns in a large cohort of nondiabetic patients with COVID-19 using time-series clustering, JAMIA Open, Volume 4, Issue 3, July 2021

Li H, Baldwin E, Zhang X, Kenost C, Luo W, Calhoun EA, An L, Bennett CL, Lussier YA. Comparison and impact of COVID-19 for patients with cancer: a survival analysis of fatality rate controlling for age, sex and cancer type. BMJ Health Care Inform. 2021 May;28(1):e100341. 

Wang Y, Li B, Gouripeddi R, Facelli JC. Human activity pattern implications for modeling SARS-CoV-2 transmission. Comput Methods Programs Biomed. 2021;199:105896. 

Taber P, Staes CJ, Phengphoo S, Rocha E, Lam A, Del Fiol G, Maviglia SM, Rocha RA. Developing a sampling method and preliminary taxonomy for classifying COVID-19 public health guidance for healthcare organizations and the general public. Journal of Biomedical Informatics. 2021 Aug 1;120:103852.

Letter from the Chair

Overview of Biomedical Informatics

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