Tennessee Acute Hepatitis Surveillance, 2016

Overview

Analysis of CDC NNDSS data for acute hepatitis cases (A, B, C) in Tennessee, 2016. Demonstrates data cleaning, filtering, pivoting, and visualization in R.

Key Findings

• Hepatitis B was the most commonly reported acute hepatitis in Tennessee (39 weeks with cases)
• Hepatitis C appeared in 27 weeks
• Hepatitis A was rare (only 4 weeks with cases)
• Peak activity occurred around MMWR week 46

Files

• hepatitis_analysis.R - R script for data processing and visualization
• hepatitis_cases_tn_2016.png - Final plot output
• NNDSS_-_Table_II._Hepatitis_(viral,_acute)_20260420.csv - Source data

Tools Used

• R 4.5.0
• tidyverse (dplyr, ggplot2, tidyr, readr)

How to Run

source("hepatitis_analysis.R")

Data Source

CDC NNDSS - Table II. Hepatitis (viral, acute)

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Add README and Push

echo "# Tennessee Acute Hepatitis Surveillance" > README.md
git add README.md
git commit -m "Add README"
git push

Privacy & Data Limitations

CDC NNDSS data suppresses counts for small jurisdictions to prevent re-identification. This project respects those suppression rules. County-level hepatitis data is not publicly available from CDC due to privacy concerns — a reality I'm acutely aware of given current legislative threats to PHI protections in Tennessee.

Status: Complete analysis of 2016 data. Next steps: space-time cluster detection and regional comparison.