covid-19_piedmont
COVID-19 Surveillance Data Modelling and Management Pipeline in Piedmont.
Science Score: 23.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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✓DOI references
Found 19 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (8.6%) to scientific vocabulary
Keywords
Keywords from Contributors
Repository
COVID-19 Surveillance Data Modelling and Management Pipeline in Piedmont.
Basic Info
- Host: GitHub
- Owner: UniTo-SEPI
- License: mit
- Language: Julia
- Default Branch: main
- Homepage: https://www.epi.piemonte.it/
- Size: 122 MB
Statistics
- Stars: 7
- Watchers: 2
- Forks: 1
- Open Issues: 0
- Releases: 0
Topics
Metadata Files
README-ITA.md
Gestione e Modellizzazione Dati COVID-19 in Piemonte

Questo repository contiene il codice, il manuale di documentazione e visualizzazioni dati per il design e l'operazione della pipeline di modellizzazione e gestione dei dati di sorveglianza COVID-19 in Piemonte che abbiamo sviluppato in collaborazione con il Servizio Sovrazonale di Epidemiologia (SEPI).
Per motivi di privacy tutti i dati contenuti in questo repository sono o fake (i.e. inventati) or synthetic (i.e. simulati) in modo da essere strutturalmente equivalenti ai dati individuali originali per riprodurre accuratamente il funzionamento della pipeline di modellizzazione dati.
L'unica referenza ai dati reali si pu trovare nei grafici presenti nella cartella images/real-output.
Come Accedere
Se voleste accedere ai dati reali di sorveglianza COVID-19 in Piemonte che coprono l'intero anno 2020 per il vostro progetto di ricerca (i.e. sequenze, incidenze e distribuzioni empiriche di temi di transizione visualizzati qui), non esitate a contattarci inviandoci una email.
Come Citare
Se usate questi contenuti nel vostro lavoro siete pregati di citare questo repository usando i metadati contenuti nel file CITATION.bib.
Referenze
Dati
- CSI Piemonte (2020) Piedmont Region COVID-19 Data Management Platform. CSI Piemonte
- CSI Piemonte (2020) GESCOVID19: Piattaforma di Gestione Dati in Piemonte. GitHub
- Leproni (2021) La Piattaforma COVID-19 della Regione Piemonte. CSI Piemonte
- Moroni and Monticone (2022) Italian COVID-19 Integrated Surveillance Dataset. Zenodo
Software
- Monticone and Moroni (2022) ICD_GEMs.jl: A Julia Package to Translate Between ICD-9 and ICD-10 Codes. Zenodo
- Monticone and Moroni (2022) UnrollingAverages.jl: A Julia Package to Deconvolve Time Series Data.. Zenodo
Articoli
- Del Manso et al. (2020) COVID-19 integrated surveillance in Italy: outputs and related activities. Epidemiologia & Prevenzione
- Milani et al. (2021). Characteristics of patients affecting the duration of positivity at SARS-CoV-2: a cohort analysis of the first wave of epidemic in Italy. Epidemiologia & Prevenzione
- Starnini et al. (2021) Impact of data accuracy on the evaluation of COVID-19 mitigation policies. Data & Policy, 3, E28.
- Zhang et al. (2021) Data science approaches to confronting the COVID-19 pandemic: a narrative review. Philosophical Transactions of the Royal Society A
- Vasiliauskaite et al. (2021) On some fundamental challenges in monitoring epidemics. Philosophical Transactions of the Royal Society A
- Badker et al. (2021) Challenges in reported COVID-19 data: best practices and recommendations for future epidemics. BMJ Global Health
- Shadbolt et al. (2022) The Challenges of Data in Future Pandemics. Epidemics
Owner
- Name: UniTo-SEPI
- Login: UniTo-SEPI
- Kind: organization
- Email: inphyt@gmail.com
- Location: Italy
- Website: https://inphyt.github.io/
- Twitter: In_Phy_T
- Repositories: 1
- Profile: https://github.com/UniTo-SEPI
Health data science collaborative project between the University of Turin (UniTo) and the Piedmont Epidemiological Service (SEPI).
GitHub Events
Total
Last Year
Committers
Last synced: about 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Interdisciplinary Physics Team (InPhyT) | 6****m | 241 |
| Pietro Monticone | 3****e | 2 |
Issues and Pull Requests
Last synced: about 2 years ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0