openmedical/registry
← registry

epidemiology-R

imported

software/epidemiology-r

Plant Disease Epidemiology in R

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

epidemiology-R project image
GitHub preview card for emdelponte/epidemiology-R. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
r4pde.net
Documentation
unknown
Tags
diseases · epidemiology · phytopathology
Regulatory
unknown
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.

  • simulation_virus_covid-19diseases · epidemiology

    Python Virus Simulation: Model and visualize epidemic spread using mathematical models (SIR) and interactive dashboards.

  • HealthCheckdiseases

    Health Check ✔ is a Machine Learning Web Application made using Flask that can predict mainly three diseases i.e. Diabetes, Heart Disease, and Cancer.

  • Global Biotic Interactions provides access to existing species interaction datasets

  • An AI, Machine Learning and Blockchain based healthcare ecosystem that predicts health outcome, divulges users' and environmental health risk; mitigates illicit drug use.

  • abmluxepidemiology

    Agent-based epidemic modelling

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

sources
  1. api.github.com/repos/emdelponte/epidemiology-R
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-07-09, 31 stars, license reported as NOASSERTION. Category and schematic were assigned by keyword heuristics and are unreviewed. GitHub reported NOASSERTION; the licence was read from the LICENSE file as MIT, because GitHub's detector does not recognise open hardware licences.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/37.json→ .entries["epidemiology-r"]

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