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Epidemics-Modelling

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software/epidemics-modelling

Modelling and tracking of epidemics data analysis in Python and Julia

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

Epidemics-Modelling project image
GitHub preview card for pierpaolo28/Epidemics-Modelling. 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
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
covid-19 · dahsboard · epidemiology · julia · python
Regulatory
unknown
built by · 1

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.

  • abmluxcovid-19 · epidemiology

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

  • bc-covid-epi-rtcovid-19 · epidemiology

    A method to estimate Effective Reproductive Number (Rt) using the province of BC's case report data.

  • beyond_R0covid-19 · epidemiology

    Code and data for final epidemic size calculations

  • chicago_sentinel_surveillancecovid-19 · epidemiology

    Tracking changes in SARS-CoV-2 transmission with a novel outpatient sentinel surveillance system in Chicago, USA.

  • chimecovid-19 · epidemiology

    COVID-19 Hospital Impact Model for Epidemics

sources
  1. api.github.com/repos/pierpaolo28/Epidemics-Modelling
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2023-02-11, 9 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 →

machine-readable

/v1/entries/48.json→ .entries["epidemics-modelling"]

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