Agent-Based Network Respiratory Virus Model
Agent-based network model of respiratory virus transmission, disease progression, and intervention. The model is modular and has been applied to counties, university campuses, and K-12 schools. For the general population (county) model three types of interactions are simulated: household interactions, social interactions, community interactions. The university model simulates residential interactions, classroom interactions, and community interactions.…
Summer Modeling and Analytic Fellowships
Summer fellowship for students and trainees with modeling/analytics coursework/expertise. Fellows are embedded within a public health partner organization (Minnesota Department of Health) to complete a summer modeling or analytic project. Trainees also attend MADMC’s summer learning sessions to expand knowledge of public health organizational structure and decision making, different modeling and analytic topics, and communicating…
School outbreak simulator
Agent-based simulation of person-to-person transmission at schools over data-based dynamic proximity contact networks. Scenarios(s) Modeled: Transmission modeled during school hours; can model interventions affecting the contact network and school attendance behavior.
Household transmission simulation and parameter estimation
Simultaneously estimate household importation risk, household secondary attack rate, and associated variability / heterogeneities using point-prevalence data for antibody positivity among household members. Parameter estimated: Household importation probability, household secondary attack rate, sensitivity / specificity of data for indicating prior infection, variability (dispersion) in transmissibility, and heterogeneities in those quantities over age and/or other identifiable…
Deep Learning Model for Epidemic Forecasting (DLEF)
Utilizies electronic health records, social media data, and community level data to predict current infectious and forecast epidemic curves
ENGAGED Social Contact Data Dashboard
Publicly available dashboard containing contact matrices and summary statistics from the ENGAGED study. Key features include contact matrices stratified by age group and gender. To be updated regularly as data collection continues through March 2026.
ENGAGED Social Contact Infographic
Infographic designed for dissemination to ENGAGED study participants to share key study findings with them.
EpiModel R package
Dr. Sam Jenness’s research focuses on the development of an open-source software platform for epidemic modeling. EpiModel allows users to build, simulate, and analyze complex mechanistic models for transmission of arbitrarily defined infectious disease systems. EpiModel provides a powerful toolkit for modeling dynamic contact networks that are often fundamental for representing transmission of diseases requiring…
Fabla EMA App
Existing EMA (ecological momentary assessment) app created at Emory University’s App Hatchery adapted to collect social contact data. This app is being used in the HealthVu study to identify and quantify biases in traditional diary-collected social contact data using EMA.
Mobilitiy Data-Derived Social Contact Matrices
Social contact matrices derived from Advan Research Foot Traffic datasets, which aggregate the movements of smartphones to key points of interest such as schools, restaurants, and doctor’s offices
Social Networks