MIDAS Catalog

MIDAS

Created by Johns Hopkins University Infectious Disease Dynamics - COVID-19
Description:

A flexible scenario modeling pipeline that tailors models for decision makers seeking to compare projections of epidemic trajectories and healthcare impacts from multiple intervention scenarios in different locations. It projects epidemic trajectories and healthcare impacts under different suites of interventions in order to aid in scenario planning. The model is generic enough to be applied to different spatial scales given shapefiles, population data, and COVID-19 confirmed case data.

Preview:
https://github.com/HopkinsIDD/COVIDScenarioPipeline

This site was available on the date of the last automated link check. (2025/09/01)

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IdentifierURL:https://github.com/HopkinsIDD/COVIDScenarioPipeline
Typesoftware
Biological Scalepopulation
Collection End Date
LanguageEnglish
Topics
  • Disease
    • Infectious Disease
      • Vaccine-Preventable Disease
        • COVID-19
      • Viruses Infection
        • Viral Respiratory Tract Infection
          • COVID-19
  • Health System Capacity
  • Host
    • Homo sapiens
  • Modeling
    • Modeling Method
      • Compartmental Models
    • Modeling Purpose
      • Forecasting
  • Pathogen
    • Viruses
      • SARS-CoV2
  • Population Count
    • Hospitalization
    • Mortality
Geographical Scope
Geographical Resolution
Start Date
End Date
Version1.0
Accessible For FreeTRUE
LicenseGNU GPL v3
Rightshttps://github.com/HopkinsIDD/COVIDScenarioPipeline/tree/v1.0.0#tools-for-using-this-repository
HTTP Status Code200
HTTP Checked On2025/09/01