SoftwareApplication
identifier: 10.5281/zenodo.5748141
name: COVID-19 Integrated Surveillance Data in Italy
description: 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.
description: ## Overview Every week the National Institute for Nuclear Physics ([INFN](https://home.infn.it/it/)) imports an anonymous individual-level dataset from the Italian National Institute of Health ([ISS](https://www.iss.it)) and converts it into an incidence time series data organized by date of event and disaggregated by sex, age and administrative level with a consolidation period of approximately two weeks. The information available to the [INFN](https://home.infn.it/it/) is summarised in the following [meta-table](https://covid19.infn.it/iss/campi-iss.pdf). ## Data ### Archive The original [data](https://covid19.infn.it/iss/) has been stored [here](https://github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data/tree/main/0_archive), reorganised [here](https://github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data/tree/main/1_structured_archive). ### Input The input data has been stored [here](https://github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data/tree/main/2_input) and contain the following information: - Aggregated data in the [`daily_incidences_by_region`](https://github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data/tree/main/2_input/daily_incidences_by_region) folder: * Weekly moving average and daily time series of **confirmed cases by date of diagnosis** at the regional level; * Weekly moving average and daily time series of **ordinary hospital admissions by date of admission** at the regional level; * Weekly moving average and daily time series of **intensive hospital admissions by date of admission** at regional level; * Weekly moving average and daily time series of **deceased cases by date of death** at the regional level. - Disaggregated data in the [`daily_incidences_by_region_sex_age`](https://github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data/tree/main/2_input/daily_incidences_by_region_sex_age) folder: - Weekly moving average time series of **symptomatic cases by date of symptoms onset** stratified by sex and …
code repository: https://github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data
author: https://orcid.org/0000-0002-2731-9623
author: https://orcid.org/0000-0003-1274-6937
keywords: Julia Language
keywords: Time Series Analysis
keywords: Surveillance Data
keywords: Mathematical Epidemiology
keywords: COVID-19 Data
keywords: open data
keywords: Italy
keywords: Clinical Data
keywords: Epidemiological Data
keywords: Surveillance
keywords: COVID-19
keywords: Computational Epidemiology
keywords: Statistics
keywords: Incidence Data
keywords: Real time data analysis
keywords: Data Analysis
keywords: Epidemiology
keywords: Time Series
keywords: Data
programming language: Julia
programming language: Python
programming language: TeX
license:
  creative work: creativeWork
    name: CC-BY-SA-4.0

https://orcid.org/0000-0002-2731-9623
type: Person
given name: Pietro
family name: Monticone
name: Pietro Monticone
role name: Author
affiliation: Organization
  name: University of Turin

https://orcid.org/0000-0003-1274-6937
type: Person
given name: Claudio
family name: Moroni
name: Claudio Moroni
role name: Author
affiliation: Organization
  name: University of Turin