Published July 23, 2020
| Version 252cf1c
Journal article
Open
Anti-clustering in the national SARS-CoV-2 daily infection counts
Description
Produced and source files for "Anti-clustering in the national SARS-CoV-2 daily infection counts", 2020, by B. F. Roukema
- subpoisson-02548e9.pdf - article in pdf format
- 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
- WHO_vs_WP_jumps.dat - plain text table comparing jumpiness of WHO to C19CCTF national case count data
- phi_N_full.dat - results: clustering parameter phi_i for full national daily infection counts above a threshold of 50 per day
- phi_N_28days.dat - as for phi_N_full.dat, for the least noisy 28-day subsequence for each country
- phi_N_14days.dat - as for phi_N_28days.dat, for 14-day subsequences
- phi_N_07days.dat - as for phi_N_28days.dat, for 7-day subsequences
- 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
- 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
- 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
- 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
Associated resources:
- ArXiv preprints: arXiv:2007.11779
- Software Heritage (swh): swh:1:dir:fcc9d6b111e319e51af88502fe6b233dc78d5166
- Pop-science description: What is noisiness in SARS-CoV-2 daily infection counts?
All the materials here are free-licensed, as stated in the individual files and packages.
Files
subpoisson-02548e9.pdf
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Additional details
Related works
- Is supplement to
- Preprint: arXiv:2007.11779 (arXiv)
- Is supplemented by
- Software: swh:1:dir:fcc9d6b111e319e51af88502fe6b233dc78d5166 (swh)