Innovating modeling and forecasting tools to improve outbreak response

Epistorm is an innovation center of InsightNet, the national network for outbreak and disease modeling established by the CDC’s Center for Forecasting & Outbreak Analytics (CFA) in 2023. As a consortium of research institutions, healthcare systems and private companies we develop innovative methodologies to integrate high-resolution mobility, airline travel, genomic and wastewater surveillance data—with mechanistic, statistical, and deep learning forecasting models to increase the accuracy of predictive analytics to help the U.S. make more informed decisions during future outbreaks of infectious diseases.

epistorm consortium

Northeastern University
Boston University
Fred Hutchinson Cancer Center
Ginkgo Biosecurity
Indiana University
Los Alamos National Laboratory
MaineHealth
Northern Light Health
University of California San Diego
University of Florida

Public health collaborators

New Hampshire DHHS
Maine DHHS
Council of State and Territorial Epidemiologists

EPISTORM Updates

Activity in a Snapshot

News & Announcements

July 2, 2024

The Scenario Modeling Hub has finalized a new round of projections for the trajectory of COVID-19 during April 28, 2024 to April 26, 2025 (52-week horizon), under 6 different scenarios. Data and report available here.

The Scenario Modeling Hub has finalized a new round of projections for the trajectory of COVID-19 during April 28, 2024 to April 26, 2025 (52-week horizon), under 6 different scenarios. Data and report available here.

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May 7, 2024

Upcoming webinar on May 9: "H5N1: What do we know so far?" featuring experts in epidemiology, infectious diseases, and veterinary medicine

Upcoming webinar on May 9: "H5N1: What do we know so far?" featuring experts in epidemiology, infectious diseases, and veterinary medicine

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April 23, 2024

Upcoming panel discussion on April 30: "From Data to Action: Leveraging Data Science for Effective Health Policy and Surveillance Against Emerging Infectious Disease Threats"

Upcoming panel discussion on April 30: "From Data to Action: Leveraging Data Science for Effective Health Policy and Surveillance Against Emerging Infectious Disease Threats"

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"We want to be in a place where there is a National Weather Service for epidemics and epidemic threats."
- Alessandro Vespignani, project lead
Outcomes

By creating new modeling approaches and leveraging novel data sources, we propose to improve outbreak response by focusing on four critical needs in public health emergencies:

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Increased availability of advanced epidemic modeling and predictive analytics with multimodal data integration

by creating advanced tools for the interpretation of data pertinent to potential health threats and their management

supporting implementation of strategic plans while accounting for health inequity issues

by establishing an immersive educational strategy with real-world experience such as collabathons in public health responses and analytics projects, while fostering pathways for their career advancement within public health systems via our student experiential learning model (co-op experiential program).

"We want to be in a place where there is a National Weather Service for epidemics and epidemic threats."
-Alessandro Vespignani,
project lead
UPDATES

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