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Epymorph

imported

software/epymorph

EpiMoRPH spatial disease modeling

Machine-generated from the listed sources and not yet reviewed by a human.

Epymorph project image
GitHub preview card for NAU-CCL/Epymorph. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
GPL-3.0(osi)
Status
active
Maturity
deployed
Organization
NAU-CCL
Country
unknown
Homepage
www.docs.epimorph.org/
Repository
github.com/NAU-CCL/Epymorph
Documentation
unknown
Tags
disease-modeling · epidemiology · metapopulation
Regulatory
unknown
built by · 6

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

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    Multi-stage hierarchical estimation of disease processes on demographic observations

  • EpiJSdisease-modeling · epidemiology

    A toolset for analyzing and creating epidemiological models.

  • episiadisease-modeling · epidemiology

    Python toolkit for epidemiological modelling and reporting. SIR/SEIR/SEIRD compartmental models, sensitivity analysis, interactive visualisations, and automated HTML/Markdown/JSON reports, built for…

  • abmluxepidemiology

    Agent-based epidemic modelling

  • Abwassersurveillance_AMELAGepidemiology

    Im Datensatz "Abwassersurveillance AMELAG" des Robert Koch-Instituts und Umweltbundesamts werden Daten aus der Überwachung von Infektionserregern im Abwasser bereitgestellt. Die Daten zur…

  • AgentBasedModelepidemiology

    An attempt at modelling the spread of measles in secondary schools using an ABM method.

sources
  1. api.github.com/repos/NAU-CCL/Epymorph
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-05, 9 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/31.json→ .entries["epymorph"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.