Science Score: 31.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic publication links
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (0.2%) to scientific vocabulary
Last synced: 9 months ago
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Repository
Analysis of Covid 19 waves in Italy
Basic Info
- Host: GitHub
- Owner: Tobia905
- Language: Jupyter Notebook
- Default Branch: main
- Size: 30 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created about 5 years ago
· Last pushed almost 4 years ago
Metadata Files
Readme
Citation
README.md
Covid19inItaly
Analysis of Covid 19 waves in Italy
Owner
- Name: Tobia Tommasini
- Login: Tobia905
- Kind: user
- Location: Milan (MI)
- Company: Partners4Innovation
- Twitter: Tobia90
- Repositories: 1
- Profile: https://github.com/Tobia905
Just a data nerd like many others. Currently working as a data scientist in consulting.
Citation (citation_data.rtf)
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\f0\fs24 \cf2 \cb3 \expnd0\expndtw0\kerning0
\outl0\strokewidth0 \strokec2 In order to cite the current version of the dataset please use the citation below. As the data are updated regularly, please update the retrieval date in the\'a0
\f1\i howpublished
\f0\i0 \'a0field.\cf0 \cb1 \kerning1\expnd0\expndtw0 \outl0\strokewidth0 \
\pard\pardeftab720\sl380\partightenfactor0
\cf2 \expnd0\expndtw0\kerning0
\outl0\strokewidth0 \strokec2 @misc\{Global.health,\
author = \{Global.health team\},\
title = \{\{Line List Epidemiological Data from the COVID-19 Outbreak\}\},\
howpublished = \{Accessed on yyyy-mm-dd from\
\\url\{https://global.health\}\},\
year = 2021\
\}\
\
And\
\
\pard\pardeftab720\sa320\partightenfactor0
\cf2 \cb3 In order to cite the original dataset and methodology of how it was collected please use:\cb1 \
\pard\pardeftab720\sl380\partightenfactor0
\cf2 @article\{xu2020Epidemiological,\
author = \{Xu, Bo and Gutierrez, Bernardo and Mekaru, Sumiko and Sewalk, Kara and Goodwin, Lauren and Loskill, Alyssa and Cohn, Emily and Hswen, Yulin and Hill, Sarah C. and Cobo, Maria M and Zarebski, Alexander and Li, Sabrina and Wu, Chieh-Hsi and Hulland, Erin and Morgan, Julia and Wang, Lin and O'Brien, Katelynn and Scarpino, Samuel V. and Brownstein, John S. and Pybus, Oliver G. and Pigott, David M. and Kraemer, Moritz U. G.\},\
doi = \{doi.org/10.1038/s41597-020-0448-0\},\
journal = \{Scientific Data\},\
number = \{106\},\
title = \{\{Epidemiological data from the COVID-19 outbreak, real-time case information\}\},\
volume = \{7\},\
year = \{2020\}\
\}\
\fs22 \
}