The Impact of Smoking, Comorbidities, and Race/Ethnicity on COVID-19 Infection and Disease Severity

Description

Using electronic health records data collected from a large healthcare system in Northern California, we will study the impact of patient tobacco use, comorbidities, and race/ethnicity on COVID-19 infection and disease severity.

Principal Investigator

Jiang Li, Ph.D., MPH

Funder

UC Office of the President, Research Grants Program Office

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The Impact of Smoking, Comorbidities, and Race/Ethnicity on COVID-19 Infection and Disease Severity

Description

Principal Investigator

Funder

Related Studies

COVID-19 Universal Registry for Vital Evaluations (CURVE) Project

Improving Cancer Care

Interpretable Deep Learning Model for Longitudinal Electronic Health Record and Applications to Heart Failure Prediction

Major Depressive Disorder

Pilot Project in Applied Artificial Intelligence: Using Machine Learning to Improve the Safety of Hospital Care

Quantifying 2D and 3D MRI Imaging For Improving MS Diagnosis, Treatment, And Clinical Care

Randomized study of EHR Defaults and Using social Comparison feedback to effectively decrease opioid prescription pill burden (REDUCE).

Statin Use and Risk Prediction of Atherosclerotic Cardiovascular Disease in Minority Subgroups (SURPASS) Study

Using Electronic Health Records to Identify Gaps in Migraine Headache Care: A Step Towards Improving Patient Outcomes

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