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COVID19-Italy-Integrated-Surveillance-Data

imported

data/covid19-italy-integrated-surveillance-data

COVID-19 integrated surveillance data provided by the Italian Institute of Health and processed via UnrollingAverages.jl to deconvolve the weekly moving averages.

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

COVID19-Italy-Integrated-Surveillance-Data project image
GitHub preview card for InPhyT/COVID19-Italy-Integrated-Surveillance-Data. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Data & Standards
Subcategory
unknown
License
CC-BY-SA-4.0(cc)
Status
active
Maturity
deployed
Organization
InPhyT
Country
unknown
Homepage
covid19.infn.it/iss/
Repository
github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data
Documentation
unknown
Tags
covid-19 · covid19-data · data · data-analysis · data-structures · data-visualization · data-wrangling · database · dataset · epidemiological-data · epidemiology · italy · italy-data · italy-dataset · open-data · surveillance · surveillance-data · time-series · time-series-analysis
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.

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    Analysis with Covid-19 data

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    Estimates of COVID-19 R_t in Real-Time.

  • TrackingRcovid-19 · covid19-data · epidemiology

    Python code for "Tracking R of COVID-19 A New Real-Time Estimation Using the Kalman Filter".

  • genomics-r-introdata-visualization · data-wrangling

    Intro to R and RStudio for Genomics

  • isobaric-inspection-jupyterdata-visualization · data-wrangling

    Inspecting the quality of isobaric labeling proteomic data in a Jupyter notebook. Data output from Proteome Discoverer.

sources
  1. api.github.com/repos/InPhyT/COVID19-Italy-Integrated-Surveillance-Data
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-05-01, 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 CC-BY-SA-4.0, because GitHub's detector does not recognise open hardware licences.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/25.json→ .entries["covid19-italy-integrated-surveillance-data"]

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