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Linear model of predictors of infection with SARS-Cov-2, wi..:

Iris Schelhorn (11776297) ; Swantje Schlüter (11919542) ; Kerstin Paintner (11919545)...
https://figshare.com/articles/dataset/Linear_model_of_predictors_of_infection_with_SARS-Cov-2_with_95_confidence_intervals_/18050759. , 2022

Link: https://doi.org/10.1371/journal.pone.0262283.t004

RT Journal
T1 <Title>Linear model of predictors of infection with SARS-Cov-2, with 95% confidence intervals</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_18050759&Exemplar=1&LAN=DE
				
A1 Iris Schelhorn (11776297)
A1 Swantje Schlüter (11919542)
A1 Kerstin Paintner (11919545)
A1 Youssef Shiban (11135964)
A1 Ricardo Lugo (4419970)
A1 Marie Meyer (3709615)
A1 Stefan Sütterlin (491159)
YR 2022
K1 Molecular Biology
K1 Sociology
K1 Developmental Biology
K1 Science Policy
K1 Biological Sciences not elsewhere classified
K1 moment &# 8221
K1 different upregulation strategies
K1 role cognitive appraisals
K1 germany </ p
K1 upregulating pleasant emotions
K1 support emotion regulation
K1 regulation strategies
K1 &# 8220
K1 xlink ">
K1 weakly associated
K1 unpleasant emotions
K1 stressful situations
K1 pleasant emotions
K1 online survey
K1 likely decrease
K1 information management
K1 german sample
K1 first restrictions
K1 felt restriction
K1 crisis self
K1 88 years
K1 1682 )
JF https://figshare.com/articles/dataset/Linear_model_of_predictors_of_infection_with_SARS-Cov-2_with_95_confidence_intervals_/18050759
LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0262283.t004
DO https://doi.org/10.1371/journal.pone.0262283.t004
SF ELIB - SuUB Bremen

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