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Show Notes
If we want to know what's happening in the world as a whole based on governmental #OpenData, then we need to be able to check if those data are reliable.
Which countries have unreliable data for the SARS-CoV-2 daily counts of the COVID-19 pandemic? Can we test this by purely statistical methods, based just on the numbers? Can the tests be easily checked by other scientists?
Is there a (statistical) relation between the lack of press freedom in a country and the unreliability of that country's open government data?
This two-minute 'elevator talk' on "Anti-clustering in the national SARS-CoV-2 daily infection counts", Roukema, B.F., 2021, PeerJ, 9:e11856, will only give you a motivational sound-bite. For tentative answers to the questions above, download the data and software source files and check that you get the same answers as in the peer-reviewed pdf.
- peer-reviewed journal paper: https://doi.org/10.7717/peerj.11856
- preprint: https://arxiv.org/abs/2007.11779
- full source for #reproducibility: https://zenodo.org/record/5262698
- pop-science description: What is noisiness in SARS-CoV-2 daily infection counts?