R.Scenario.Vax
R Package for scenario projections of RSV hospitalizations under various immunization scenarios. Model can be calibrated to local data
Modeling COVID-19 Spread vs Healthcare Capacity
Shiny app for an SEIR model for COVID-19 infection, including different clinical trajectories of infection, interventions to reduce transmission, and comparisons to healthcare capacity
MORRIS
Morris is a forecasting tool designed to predict hospital respiratory data using advanced machine learning techniques
North Carolina Disease Event Tracking and Epidemiologic Collection Tool (NC DETECT)
Statewide syndromic surveillance system for early event detection and timely public health surveillance. It pulls from a variety of secondary data sources for users to access data from emergency departments, emergency medical services, NC Poison Control, and regional data from select urgent care centers.
phylosamp
R package designed to help users conduct and evaluate sample size calculations for phylogenetic studies. Presently, the functions can be used to calculate sample size in three types of scenarios that frequently arise when analyzing pathogen genomic data: 1) trying to determining if pathogen infections are linked by transmission, 2) trying to estimate the frequency…
Project Tycho
Repository for disease surveillance data. Project Tycho currently includes data for 93 diseases in the US plus 236 additional countries and territories. Data was compiled and standardized from reputable sources such as the US Centers for Disease Control, the World Health Organization, and ministries and departments of health for countries around the world.
Public Health Training for Analysts & Modelers
Started as a half-day workshop at the 2025 Insight Net Annual Meeting for analysts and modelers interested in or currently working with public health organizations to learn about how public health functions, key players and activities. The training is intended for analysts and modelers interested in or currently working with public health organizations to learn…
ACCIDDA