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Adobe PDF - 136.8 KB -
MD5: 6bb81029e54fec4157f2bdfcc94f8fde
Method report
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Adobe PDF - 225.4 KB -
MD5: 111a918515b8b45a7bfde55034af4067
Description of derived variables
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ZIP Archive - 85.2 KB -
MD5: 16f962a55d0a08dc7e2b11d7e6fdf841
List of variables since 2004 |
Adobe PDF - 64.1 KB -
MD5: 529a38c488a88064c9bcb3369a5be6c9
Links to methodological publications
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Adobe PDF - 335.8 KB -
MD5: e610279d1afea3fcfbc87d07824353ac
Questionnaire
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Tabular Data - 160.6 KB - 3 Variables, 2941 Observations - UNF:6:qNBu7wsXtrhL/ImlhxcHcw==
Variable identifiers and descriptions - machine-readable
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Feb 25, 2021 - COVID-19 Pandemic
Paškvan, Matea; Kowarik, Alexander; Schrittwieser, Karin; Till, Matthias; Weinauer, Marlene; Göllner, Tobias; Hartleib, Sarah; Klimont, Jeanette; Plate, Marc; Baumgartner, Irene; Edelhofer-Lielacher, Edith; Grasser, Alfred; Kytir, Josef, 2021, "COVID-19 Prevalence November 2020 (SUF edition)", https://doi.org/10.11587/G3C2CS, AUSSDA, V1, UNF:6:I28SQd08cHeRAAxMJb9FTg== [fileUNF]
Full edition for scientific use. The main purpose of the study was to identify the number of people actually infected with coronavirus in Austria, as well as the number of people who have formed antibodies against SARS-CoV-2 and thus have been infected and further to report how p... |
Feb 25, 2021 -
COVID-19 Prevalence November 2020 (SUF edition)
Adobe PDF - 99.6 KB -
MD5: 88e909556b5060fca76e4cd99685cb9a
Codebook |
Feb 25, 2021 -
COVID-19 Prevalence November 2020 (SUF edition)
Tabular Data - 2.7 MB - 221 Variables, 2711 Observations - UNF:6:fO+LIaXe26GjTez0f6IU+w==
Core data file - STATA format - 221 Variables, 2711 Observations |
Feb 25, 2021 -
COVID-19 Prevalence November 2020 (SUF edition)
ZIP Archive - 220.0 KB -
MD5: 31200ad884a6dadc806ad471996481dc
Core data file - compressed CSV format - 221 Variables, 2711 Observations |