SWOP HPV Study Monitoring Dashboard
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Role: Epidemiologist & Study Data Lead
Position: Postdoctoral Fellowship @ University of Manitoba
Domain: HPV, Project Management, Study Enrollment
1 The Challenge
The SWOP HPV Study in Nairobi tracks high-risk populations (FSW and MSM) over a one-year period to understand HPV genotype transmission and immunological clearance. Managing longitudinal data for such a study is notoriously difficult; researchers need to monitor “loss to follow-up,” identify patterns in viral persistence across multiple visits, and correlate these with mucosal characteristics in real-time.
2 The Solution
I designed and implemented a centralized data infrastructure and monitoring dashboard for the study. This system shifted the project from reactive data management to proactive epidemiological surveillance.
- Cohort Study Tracking: Built specialized visualizations to monitor participant retention and follow-up success over the one-year study window.
- mini-LMS: Tracked logistics and testing of blood samples across sequential clinical visits.
- Integrated Analytics: Preliminary analytics on combined epidemiological metadata with mucosal/immunological characteristics to guide student enrollment.
3 Technical Deep-Dive
- Workflow Automation: Created a reproducible R pipeline to clean and merge data from multiple clinic visits into a longitudinal “long-format” structure.
- Tech Stack:
R,flexdashboard,tidyverse,ggplot2,plotly,GitHub Actions. - Impact: Substantial efficient in study monitoring and influenced biweekly meetings and decisions.