cascade-at
importedsoftware/cascade-at
Multi-stage hierarchical estimation of disease processes on demographic observations
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- ihmeuw
- Country
- unknown
- Repository
- github.com/ihmeuw/cascade-at
- Documentation
- unknown
- Tags
- demographic-rates · disease-modeling · epidemiology · global-health · statistics
- Regulatory
- unknown
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.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- 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…
- Epymorphdisease-modeling · epidemiology
EpiMoRPH spatial disease modeling
- farolcovidepidemiology · statistics
🚦🏥. Ferramenta de monitoramento do risco de colapso no sistema de saúde em municípios brasileiros com a Covid-19 • Monitoring tool & simulation of the risk of collapse in Brazilian municipalities'…
- flusightepidemiology · statistics
Influenza forecasts visualizer
- CANlab_help_examplesstatistics
How-to examples and a batch pipeline for second-level neuroimaging analysis. Batch scripts and examples publish HTML files with code and output.
- eventToolsstatistics
Extension to the eventPrediction package for N-piecewise Weibull and lagtimes
- api.github.com/repos/ihmeuw/cascade-atretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2022-08-05, 4 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/13.json→ .entries["cascade-at"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.