covid19-analytics
importedsoftware/covid19-analytics
Analysis of the COVID19 outbreak in Brazil mainly through epidemic and hospitalization models, by the Health Analytics and Prospera consulting business units of Funcional Heatlh Tech.
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
- funcional-health-analytics
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- covid-19 · covid-19-brazil · covid19 · epidemic-model · epidemiology · seir
- 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.
- covid19-sircovid-19 · covid19 · epidemic-model
CovsirPhy: Python library for COVID-19 analysis with phase-dependent SIR-derived ODE models.
- Fluxtroniccovid-19 · covid-19-brazil · covid19
Um projeto Brasileiro para combate ao COVID19.
- epidemikcovid19 · epidemic-model · epidemiology
Compartmental Epidemic Models in Python
- seirspluscovid-19 · epidemic-model · epidemiology
Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.
- epi-collectcovid-19 · covid19 · epidemiology
🌏🌎🌍 Liberate Google Takeout location data for epidemiological research and local contact tracing https://epi-collect.org
- Structured-Epidemic-Modelingepidemic-model · epidemiology
Results and software for our paper on structured epidemic modeling
- api.github.com/repos/funcional-health-analytics/covid19-analyticsretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2022-12-08, 22 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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/v1/entries/1.json→ .entries["covid19-analytics"]
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