Journal article Open Access
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"revision": 7, "id": 3990666, "metadata": { "access_right_category": "success", "doi": "10.5281/zenodo.3990666", "description": "<p>Produced and source files for "Anti-clustering in the national SARS-CoV-2 daily infection counts", 2020, by B. F. Roukema</p>\n\n<ul>\n\t<li>subpoisson-02548e9.pdf - article in pdf format</li>\n\t<li>WP_C19CCTF_SARSCoV2.dat - Wikipedia COVID-19 Case Count Task Force (C19CCTF) medical cases chart data on national daily SARS-CoV-2 infections in csv format; URLs of the specific versions of the source pages are included</li>\n\t<li>WHO_vs_WP_jumps.dat - plain text table comparing jumpiness of WHO to C19CCTF national case count data</li>\n\t<li>phi_N_full.dat - results: clustering parameter phi_i for full national daily infection counts above a threshold of 50 per day</li>\n\t<li>phi_N_28days.dat - as for phi_N_full.dat, for the least noisy 28-day subsequence for each country</li>\n\t<li>phi_N_14days.dat - as for phi_N_28days.dat, for 14-day subsequences</li>\n\t<li>phi_N_07days.dat - as for phi_N_28days.dat, for 7-day subsequences</li>\n\t<li>four files phi_N*_jhu.dat which are equivalent to the main tables, but for the JHU CSSE data, as listed in the appendix of the article</li>\n\t<li>subpoisson-02548e9-git.bundle - git source package that can be unbundled with 'git clone subpoisson-02548e9-git.bundle' and used for reproducibility: to download data, do calculations, analyse them, plot them and produce the article pdf</li>\n\t<li>subpoisson-02548e9-arXiv.tar.gz - source package for producing the article pdf, together with the reproducibility package, but without the git history; appropriate for ArXiv</li>\n\t<li>software-252cf1c.tar.gz - this should contain all the software, apart from a minimal POSIX-compatible system, needed for compiling and installing the software used in producing this paper</li>\n</ul>\n\n<p>Associated resources:</p>\n\n<ul>\n\t<li>ArXiv preprints: <a href=\"https://arXiv.org/abs/2007.11779\">arXiv:2007.11779</a></li>\n\t<li>Software Heritage (swh): <a href=\"https://archive.softwareheritage.org/swh:1:dir:fcc9d6b111e319e51af88502fe6b233dc78d5166\">swh:1:dir:fcc9d6b111e319e51af88502fe6b233dc78d5166</a></li>\n\t<li>Pop-science description: <a href=\"https://codeberg.org/boud/subpoisson/src/branch/subpoisson/README-popular-science.md\">What is noisiness in SARS-CoV-2 daily infection counts?</a></li>\n</ul>\n\n<p>All the materials here are free-licensed, as stated in the individual files and packages.</p>", "language": "eng", "title": "Anti-clustering in the national SARS-CoV-2 daily infection counts", "license": { "id": "CC-BY-4.0" }, "relations": { "version": [ { "count": 3, "index": 1, "parent": { "pid_type": "recid", "pid_value": "3951151" }, "is_last": false, "last_child": { "pid_type": "recid", "pid_value": "4432080" } } ] }, "communities": [ { "id": "covid-19" }, { "id": "ncu" }, { "id": "zenodo" } ], "version": "252cf1c", "keywords": [ "COVID-19", "Data validation", "Poisson point process", "SARS-CoV-2" ], "publication_date": "2020-07-23", "creators": [ { "orcid": "0000-0002-3772-0250", "affiliation": "Nicolaus Copernicus University", "name": "Roukema, Boudewijn F." } ], "access_right": "open", "resource_type": { "subtype": "article", "type": "publication", "title": "Journal article" }, "related_identifiers": [ { "scheme": "arxiv", "identifier": "arXiv:2007.11779", "relation": "isSupplementTo", "resource_type": "publication-preprint" }, { "scheme": "swh", "identifier": "swh:1:dir:fcc9d6b111e319e51af88502fe6b233dc78d5166", "relation": "isSupplementedBy", "resource_type": "software" }, { "scheme": "doi", "identifier": "10.5281/zenodo.3951151", "relation": "isVersionOf" } ] } }
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