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Journal article Open Access

Anti-clustering in the national SARS-CoV-2 daily infection counts

Roukema, Boudewijn F.

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    <subfield code="a">Roukema, Boudewijn F.</subfield>
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    <subfield code="a">&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-252cf1c.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;subpoisson-252cf1c-git.bundle - git source package that can be unbundled with &amp;#39;git clone subpoisson-252cf1c-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-252cf1c-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;

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July 23, 2020
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10.5281/zenodo.3951152

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Keyword(s):
COVID-19 Epidemic curve Poisson point process
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Version f7e7b46 10.5281/zenodo.4432080 Jan 11, 2021
Version 252cf1c 10.5281/zenodo.3990666 Jul 23, 2020
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