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Supplementary Code to the Covid-19 Munich Cohort Study KoCo19, Lab+Epi

Authors: Schälte, Yannik; Pritsch, Michael; Olbrich, Laura; Radon, Katja; Castelletti, Noemi; Bakuli, Abhishek; Garí, Mercè; +6 Authors

Supplementary Code to the Covid-19 Munich Cohort Study KoCo19, Lab+Epi

Abstract

Code used for statistical analysis and figure generation in the manuscripts A Serology Strategy for Epidemiological Studies Based on the Comparison of the Performance of Seven Different Test Systems, Olbrich et al. 2020 ("lab"), and Prevalence and Risk Factors of Infection in the Representative COVID-19 Cohort Munich, Pritsch et al. 2020 ("epi"). Due to confidentiality, the data are not included. For complete author lists and further information, see the manuscripts. This is mostly a snapshot of the GitHub repository at https://github.com/koco19/lab_epi. Detailed content descriptions are given in README.md files.

Keywords

Munich cohort study, seroprevalence, SARS-CoV-2, COVID-19, population-based

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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