Contextual factors predicting compliance behavior during the COVID-19 pandemic: A machine learning analysis on survey data from 16 countries

Hajdu, Nandor; Schmidt, Kathleen; Acs, Gergely; Roeer, Jan P.; Mirisola, Alberto; Giammusso, Isabella; Arriaga, Patricia; Ribeiro, Rafael; Dubrov, Dmitrii; Grigoryev, Dmitry; Arinze, Nwadiogo C.; Voracek, Martin; Stieger, Stefan; Adamkovic, Matus; Elsherif, Mahmoud; Kern, Bettina M. J.; Barzykowski, Krystian; Ilczuk, Ewa; Ropovik, Ivan; Ruiz-Fernandez, Susana; Banik, Gabriel; Luis Ulloa, Jose; Aczel, Balazs; Szaszi, Barnabas

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Contextual factors predicting compliance behavior during the COVID-19 pandemic: A machine learning analysis on survey data from 16 countries

Autor(en):

Hajdu, Nandor; Schmidt, Kathleen; Acs, Gergely; Roeer, Jan P.; Mirisola, Alberto; Giammusso, Isabella; Arriaga, Patricia; Ribeiro, Rafael; Dubrov, Dmitrii; Grigoryev, Dmitry; Arinze, Nwadiogo C.; Voracek, Martin; Stieger, Stefan; Adamkovic, Matus; Elsherif, Mahmoud; Kern, Bettina M. J.; Barzykowski, Krystian; Ilczuk, Ewa; Ropovik, Ivan; Ruiz-Fernandez, Susana; Banik, Gabriel; Luis Ulloa, Jose; Aczel, Balazs; Szaszi, Barnabas

Tübinger Autor(en):

Ruiz Fernández, Susana

Erschienen in:

Plos One (2022), Bd. 17 (11), Article e0276970

Verlagsangabe:

San Francisco : Public Library Science

Sprache:

Englisch

Referenz zum Volltext:

http://dx.doi.org/10.1371/journal.pone.0276970

ISSN:

1932-6203