MIDAS Catalog
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Created by Johns Hopkins Infectious Disease Dynamics Group and Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill
Description:

The “FLexible EPIdemic MOdeling Pipeline” (flepiMop) is an open-source software pipeline written in R and Python designed for creating and simulating wide range of compartmental models of infectious disease transmission and inferring parameters. A no-code configuration file is used to define the disease transmission and observation models, to allow models of varying complexity to be specified, from simple problems described by SIR-style models to more complicated models. The pipeline can also be used to simulate the dynamics of any infection that can be expressed as a compartmental epidemic model (including applications in within-host dynamics, etc.). flepiMop source is code is available on GitHub with link to detailed documentation on installation, specifying models, running simulations, etc. flepiMop is available for Windows WSL, MacOS, and Linux with a provided Docker image and an Anaconda environment.

Preview:
https://www.flepimop.org/

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

image
IdentifierURL: https://www.flepimop.org/
Type
  • Software
    • Package
Topics/About
  • Modeling
    • Modeling Method
      • Compartmental Models
    • Modeling Purpose
      • Disease Transmission
      • Forecasting
      • Parameter Estimation
LanguageEnglish
LicenseGNU GPL v3
Accessible For FreeTRUE
Biological Scalepopulation
Software LanguagePython, R
Operating SystemWindows, macOS, Linux
Versionongoing
HTTP Status Code200
HTTP Checked On2026/09/27