epidemiology-R
importedsoftware/epidemiology-r
Plant Disease Epidemiology in R
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- r4pde.net
- Repository
- github.com/emdelponte/epidemiology-R
- Documentation
- unknown
- Tags
- diseases · epidemiology · phytopathology
- Regulatory
- unknown
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.
- globalbioticinteractionsdiseases
Global Biotic Interactions provides access to existing species interaction datasets
- Personal-health-tokendiseases
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
- 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…
- api.github.com/repos/emdelponte/epidemiology-Rretrieved 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 →
/v1/entries/37.json→ .entries["epidemiology-r"]
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