MIDAS Catalog
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JSON-LD Documentation
Created by Andrei Gheorghe, Chris Rehmann, Justin Sheen, Mike Levy, Sherrie Xie, Alison Hill and Julianna Shinnick
Description:

This application uses a compartmental epidemiological model, based on a classic SEIR model to describe the spread and clinical progression of COVID-19 in a population of individuals who have never been exposed to the disease previously.. The speed and extent to which the disease spreads - and how much it may ultimately overwhelm healthcare capacity - will depend on a number of rates related to disease transmission and progression. The application permits to set different clinical parameters, transmission rates, intervention parameters, healthcare capacity, and simulation values.

Preview:
https://alhill.shinyapps.io/COVID19seir/

This site was available on the date of the last automated link check. (2026/09/27)

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IdentifierURL: https://alhill.shinyapps.io/COVID19seir/
Type
  • Software
    • Executable File
Topics/About
  • Disease
    • Infectious Disease
      • Vaccine-Preventable Disease
        • COVID-19
      • Viruses Infection
        • Viral Respiratory Tract Infection
          • COVID-19
  • Host
    • Homo sapiens
  • Modeling
    • Modeling Method
      • Compartmental Models
      • Dynamic Models
      • Mathematical Model
    • Modeling Purpose
      • Disease Transmission
      • Forecasting
      • Scenario Analysis
  • Pathogen
    • Viruses
      • SARS-CoV2
LanguageEnglish
LicenseCC BY-SA 4.0
Accessible For FreeTRUE
Biological Scalepopulation
Software LanguageR
Versionunspecified
HTTP Status Code202
HTTP Checked On2026/09/27