Piedmont COVID-19 Data Modelling & Management

COVID-19 Surveillance Data Modelling and Management Pipeline in Piedmont.

Overview

The repository contains the code, documentation manual and data visualisations for the design and operation of the Piedmont COVID-19 surveillance data modelling and management pipeline developed in collaboration with the Piedmont Epidemiological Service (SEPI).

For privacy purposes all the data in this repository are either fake (i.e. invented) or synthetic (i.e. simulated) in order to be structurally equivalent to the original individual-level data to accurately showcase the functionalities of the data modelling and management pipeline.

The only reference to the real data can be found in the plots located in the images/real-output folder.

How to Access

If you would like to access the real Piedmont COVID-19 surveillance data covering the year 2020 for your research project (i.e. sequences, incidences and empirical time delay distributions visualised here), please feel free to contact us by sending us an email.

How to Cite

If you use these contents in your work, please cite this repository using the metadata in CITATION.bib.

References

Data

  1. CSI Piemonte (2020) Piedmont Region COVID-19 Data Management Platform. CSI Piemonte
  2. CSI Piemonte (2020) GESCOVID19: COVID-19 Data Management Platform in Piedmont. GitHub
  3. Leproni (2021) The Piedmont Region COVID-19 Platform. CSI Piemonte
  4. Moroni and Monticone (2022) Italian COVID-19 Integrated Surveillance Dataset. Zenodo

Software

  1. Monticone and Moroni (2022) ICD_GEMs.jl: A Julia Package to Translate Between ICD-9 and ICD-10 Codes. Zenodo
  2. Monticone and Moroni (2022) UnrollingAverages.jl: A Julia Package to Deconvolve Time Series Data.. Zenodo

Papers

Participating organisations

Interdisciplinary Physics Team (InPhyT)
Piedmont Epidemiological Service (SEPI)
University of Turin

Team

Pietro Monticone
Pietro Monticone
Claudio Moroni
Claudio Moroni

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