MADMC – Insight Net

MADMC

Congenital Syphilis Model for MN (Adapted from CA Dept of Public Health Model)
MADMC adapted an existing congenital syphilis model built by the California Department of Public Health. Updates were made to model structure, including adding functionality for cost and cost-effectiveness analysis and functionality to evaluate interventions under scenarios of increasing, plateauing, and decreasing rates of syphilis in the general population.
EHR Syndromic Surveillance Tool
This tool will leverage textual data (e.g., physician notes) from electronic health records across 10 Minnesota health systems. Using natural language processing and machine learning, the tool will support case detection and case definition (for novel diseases). The tool is currently under development.
Human Parvovirus B19 Scenario Modeling Toolkit
The Human Parvovirus B19 Toolkit consists of an Excel-based tool to estimate B19 disease burden in pregnant populations as well as two decision tree models to estimate the impact of B19 interventions on preventing severe fetal outcomes under different scenarios and assumptions.
MADMC Social Contact Data
Between 2024-2025, we will be collecting at least four opt-in samples (to capture seasonal changes in contacts) and one probability-based sample for social contact data for adults and children in Minnesota and surrounding states. The survey will also collect a limited number of health behaviour questions.
MADMC Social Contact Survey Instrument
The MADMC Social Contact Survey Instrument is designed to collect data on social contact patterns and behaviors related to potential public health interventions (e.g., masking, work from home, etc.). We are also validating opt-in vs. probability based survey instruments. The survey instrument and aggregate data (once collected) can be shared with InsightNet.
MADMC Webinars/Summer Learning Sessions
MADMC hosts four webinars over the summer with topics focused on different modeling and analytic methods. These seminars are geared towards our implementation partners, other public health institutions, and our center affiliates (faculty, students).
Midwest EpiView: Influenza
The dashboard will leverage electronic health record data from 10 Minnesota health systems to 1) track testing, cases, and vaccinations, 2) conduct geospatial statistical analyses to detect spatial clustering, and 3) simulate basic scenarios. It is currently being developed to track flu, however, it is designed to be flexibly adapted to other diseases in the…
Midwest EpiView: Measles
The Midwest EpiView for Measles is a R Shiny dashboard that integrates vaccine coverage data for schools and daycares in Minnesota, historic measles case data, and school-level sociodemographic data from the MN Department of Education. An abridged version of the dashboard will be publicly available.
Scenario Model for Novel Diseases
The Scenario Model for Novel Viruses is a user-interactive SEIR model implemented in R Shiny. The tool is designed to be used at city, county, or regional levels in the first few months of a novel disease outbreak to support scenario planning when there is little data available. This simple tool fills a gap in…
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…