Data on US ILI, influenza pos lab tests, and total influenza cases from 1998-2019

Interactive geovisualizations of NY cancer data using Plotly

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.

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

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

Sample Microservices to demonstrate CDC events capture across multiple applications. Prototype of Event driven based microservices.

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.

Files related to the CDC text classification challenge

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

This concise description denotes the purpose of the project: to provide a formal analysis of food access challenges for strategic decision-making.

Interactive web display showing correlations between US demographics and various health outcomes (heart attack, depression, and diabetes incidence). When an axis is clicked, the graph changes to include data from the selected variable. Built using D3.js

Visualization of Travelers’ Health information provided by TW CDC

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