COVID-19 Surveillance Data Modelling and Management Pipeline in Piedmont.
This 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.
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.
If you use these contents in your work, please cite this repository using the metadata in CITATION.bib.
COVID-19 Surveillance Data Modelling and Management Pipeline in Piedmont.
COVID-19 integrated surveillance data provided by the Italian National Institute of Health and processed via UnrollingAverages.jl to deconvolve the weekly simple moving averages.
COVID-19 integrated surveillance data provided by the Italian National Institute of Health and processed via UnrollingAverages.jl to deconvolve the weekly simple moving averages.
A Julia package that allows to translate ICD-9 into ICD-10 codes and viceversa via the General Equivalence Mappings (GEMs) of the International Classification of Diseases (ICD).
A Julia package to deconvolve simple moving averages of time series.
