cdc-data

Enables Python developers to leverage Debezium's CDC capabilities with custom event handlers and seamless integration.

Automated script developed in Mage.ai to monitor and validate the status of AWS DMS CDC tasks, ensuring data integrity and synchronization. Sends notifications for any detected validation issues.

The Machine Learning APP for "2020-BRFSS-Codebook-CDC".

Data decoding, encoding, conversion, and translation utilities.

A simple dashboard to visualize new cases of COVID-19 detected in each of US counties alongside vaccination rate in the area

Visualization of data taken by the Department of Public Health (DPH) and Centers for Disease Control and Prevention (CDC) of new COVID-19 cases in the state of Massachusetts as well as nationwide. Trends of COVID cases depending on vaccine product taken, gender, age group, and vaccination status are visualized. Updated daily.

A wrapper for the CDC Wonder Detailed Mortality API meant to alleviate some of its many issues and provide a way of accessing the CDC's data with ease.

Files related to the CDC text classification challenge

Reproducible analysis of U.S. metabolic disease: state obesity trends, county spatial epidemiology (Moran's I / LISA), and socioeconomic confounders, built on CDC BRFSS, PLACES, and Census ACS.

Streamlit to search for NHANES tables and generate a python script to import those tables.

Analysis of the suicide death rates within the US Hispanic & Latino population. Data collected from the Centers for Disease Control and Prevention.

Integrated CDC + Census state-year analysis (2009–2017) supporting medical staffing deployment across U.S. states. Three-layer Tableau dashboard demonstrates why per-capita mortality rate—not raw counts—is the correct comparison metric.

Real-time CDC data pipeline using MySQL, Debezium, Kafka, Spark Structured Streaming, Delta Lake, and MinIO (S3-compatible object storage).

This script uses pandas/numpy/matplotlib to collect, organize, process and display a large data set

Survey-weighted NHANES analysis of two-day fiber and sodium density with domain estimates, Taylor-linearized uncertainty, regression, tests, and CI.