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Created by Fernando Caballero, Jakub Dolezal, Paul Rohrbach, Tim Ekeh, Hideki Kobayashi, Rajesh Singh and Lukas Kikuchi
Description:

PyRossGeo is a spatially resolved infectious disease modeling software that simulates epidemic spread across geographic regions by accounting for population movement and commuting patterns. The model tracks people traveling between locations, simulating transmission both at local nodes and during the commute itself with an age-contact structure. The model supports customizable compartmental frameworks (such as SIR, SEIR, and SEAIR) and has been validated using synthetic data on London.

Preview:
https://github.com/lukastk/PyRossGeo

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

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IdentifierURL: https://github.com/lukastk/PyRossGeo
Type
  • Software
    • Package
Topics/About
  • Modeling
    • Modeling Method
      • Compartmental Models
      • Mathematical Model
    • Modeling Purpose
      • Disease Transmission
      • Network Modeling
LanguageEnglish
LicenseMIT License
Accessible For FreeTRUE
Biological Scalepopulation
Software LanguagePython
HTTP Status Code200
HTTP Checked On2026/09/27