Yong Huang
Graduate Trainee, University of California, Irvine
2 active projects
yong_longcovid
Scientific Questions Being Studied
We would like to investigate risk factors for developing long covid, particularly via causal inference methods using only observational data.
Project Purpose(s)
- Disease Focused Research (long covid)
- Methods Development
- Ancestry
Scientific Approaches
We plan to apply causal inference methods to study the causal effect of certain genes along with other variables such as age gender and lifestyle to developing long covid. The data we are interested in includes genetic data, demographics, lab tests, vital signs, drug exposure etc.
Anticipated Findings
We would like to identify predictors of long covid and propose appropriate intervention strategy for helping people who suffer from long covid
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Controlled Tier
uci_yongh7
Scientific Questions Being Studied
I am exploring the data to get insights of how social demographics status may impact the outcome of Covid-19 patients.
Project Purpose(s)
- Population Health
- Social / Behavioral
- Methods Development
Scientific Approaches
I am planning to apply causal inference tools to study the connection between social demographics status and COVID outcome using EHR data including labs, vitals and other measurements along with social status related tabular information such as demographics, insurance and if possible, wearable measurements as well.
Anticipated Findings
The anticipated findings including validating the casual connections of social status and covid outcome, and hopefully this study will contribute to help understand how might we deliver healthcare better to the underrepresented groups.
Demographic Categories of Interest
- Race / Ethnicity
- Age
- Sex at Birth
- Gender Identity
- Sexual Orientation
- Geography
- Disability Status
- Access to Care
- Education Level
- Income Level
Data Set Used
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