Across Insight Net, we have developed a multitude of resources to help epidemiologists and public health officials from across the United States and beyond better confront infectious disease threats. These include modeling tools, trainings in analytic techniques, and analytic data sets and span a wide variety of geographies and diseases. This searchable database is intended to help people in and out of the network navigate the many resources available and better connect with Insight Net partners.
Note that details are still being collected on some resources, particularly data, and will be updated in the coming months.
Badges
Disease
Focus
Geography
Training
Centers
Types
Badge Key
- Disease
- Focus
- Geography
- Training
AbcSmc
approximate bayesian computation inference library
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. […]
Airborne release of infectious pathogens simulator
Estimate airborne dispersal, human exposure, and infection probabilities and timelines after a release of a quantity of infectious organisms. Scenarios(s) Modeled: Airborne release and human inhalational exposure and infection, similar the Sverdlovsk anthrax leak of 1979.
Airline mobility data
Data provides Origin-destination data for domestic and international destination
Antimicrobial resistance and ecology model
Bayesian, ML and information theoretic model for the prediction of antimicrobial resistant organisms, geographical and host factors and to improve decision support to reduce and track antimicrobial resistance
Applied Modeling for Public Health (AMPH) Workshop
Series of in-person workshops aimed at building capacity in application of infectious disease modeling within public health organizations. These workshops bring together teams with important public health questions and data, and provide hands-on support through instruction and working sessions to develop simple infectious disease models to answer those questions.
ARIMA; Generalize ARIMA; Vector Autoregression
To forecast the weekly positive test number
Attention-Based Models for Snow-Water Equivalent Prediction
Transformer architectures for spatio-temporal prediction (or synthetic data generation/imputation). Scenarios(s) Modeled: Predicting the SWE value for multiple SNOTEL locations in the Western US using the Attention Models
Autoencoder and clustering based anomaly detection
Initially developed as a project with DHS Science and Technology, this project took place from 2018 to 2019 (pre-COVID). The approach here is to find potentially anomalous cases which are also related. To create anomaly “scores”, a neural network autoencoder is used to process over patient data from the emergency department visit and quantify how […]
Bayesian Transmission Model
Provides estimates for critical epidemiological parameters that characterize the spread of bacterial pathogens in healthcare settings. Parameter estimated: Transmission rate (frequency-dependent or density-dependent mass action), importation probability, clearance rate (loss of colonization per colonized person per unit time), surveillance test sensitivity, surveillance test specificity, effect of covariate on transmission (multiplier in relation to overall transmission […]