July 23, 2020 Journal article Open Access

Roukema, Boudewijn F.

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  <identifier identifierType="DOI">10.5281/zenodo.3990666</identifier>
  <creators>
    <creator>
      <creatorName>Roukema, Boudewijn F.</creatorName>
      <givenName>Boudewijn F.</givenName>
      <familyName>Roukema</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-3772-0250</nameIdentifier>
      <affiliation>Nicolaus Copernicus University</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Anti-clustering in the national SARS-CoV-2 daily infection counts</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <subjects>
    <subject>COVID-19</subject>
    <subject>Data validation</subject>
    <subject>Poisson point process</subject>
    <subject>SARS-CoV-2</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2020-07-23</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3990666</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="arXiv" relationType="IsSupplementTo" resourceTypeGeneral="Text">arXiv:2007.11779</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3951151</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/covid-19</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/ncu</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/zenodo</relatedIdentifier>
  </relatedIdentifiers>
  <version>252cf1c</version>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Produced and source files for &amp;quot;Anti-clustering in the national SARS-CoV-2 daily infection counts&amp;quot;, 2020, by B. F. Roukema&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;subpoisson-02548e9.pdf - article in pdf format&lt;/li&gt;
	&lt;li&gt;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&lt;/li&gt;
	&lt;li&gt;WHO_vs_WP_jumps.dat - plain text table comparing jumpiness of WHO to C19CCTF national case count data&lt;/li&gt;
	&lt;li&gt;phi_N_full.dat - results: clustering parameter phi_i for full national daily infection counts above a threshold of 50 per day&lt;/li&gt;
	&lt;li&gt;phi_N_28days.dat - as for phi_N_full.dat, for the least noisy 28-day subsequence for each country&lt;/li&gt;
	&lt;li&gt;phi_N_14days.dat - as for phi_N_28days.dat, for 14-day subsequences&lt;/li&gt;
	&lt;li&gt;phi_N_07days.dat - as for phi_N_28days.dat, for 7-day subsequences&lt;/li&gt;
	&lt;li&gt;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&lt;/li&gt;
	&lt;li&gt;subpoisson-02548e9-git.bundle - git source package that can be unbundled with &amp;#39;git clone subpoisson-02548e9-git.bundle&amp;#39; and used for reproducibility: to download data, do calculations, analyse them, plot them and produce the article pdf&lt;/li&gt;
	&lt;li&gt;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&lt;/li&gt;
	&lt;li&gt;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&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;Associated resources:&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;ArXiv preprints: &lt;a href="https://arXiv.org/abs/2007.11779"&gt;arXiv:2007.11779&lt;/a&gt;&lt;/li&gt;
	&lt;li&gt;Software Heritage (swh): &lt;a href="https://archive.softwareheritage.org/swh:1:dir:fcc9d6b111e319e51af88502fe6b233dc78d5166"&gt;swh:1:dir:fcc9d6b111e319e51af88502fe6b233dc78d5166&lt;/a&gt;&lt;/li&gt;
	&lt;li&gt;Pop-science description: &lt;a href="https://codeberg.org/boud/subpoisson/src/branch/subpoisson/README-popular-science.md"&gt;What is noisiness in SARS-CoV-2 daily infection counts?&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;All the materials here are free-licensed, as stated in the individual files and packages.&lt;/p&gt;</description>
  </descriptions>
</resource>