Editorial: Individual Differences in Cognition and Affects in the Era of Pandemic and Machine Learning

Andrea Vranic; Yang Jiang; Xiaopeng Zhao

doi:10.3389/fpsyg.2022.848086

Editorial: Individual Differences in Cognition and Affects in the Era of Pandemic and Machine Learning

Andrea Vranic
, Yang Jiang
, Xiaopeng Zhao

Producción científica: Editorial

1 Cita (Scopus)

Idioma original	English
Número de artículo	848086
Publicación	Frontiers in Psychology
Volumen	13
DOI	https://doi.org/10.3389/fpsyg.2022.848086
Estado	Published - feb 25 2022

Nota bibliográfica

Funding Information:
Part of the effort was supported by United States National Institute of Health AG060608 to YJ.

Financiación

Part of the effort was supported by United States National Institute of Health AG060608 to YJ.

Financiadores	Número del financiador
National Institutes of Health (NIH)	AG060608

ASJC Scopus subject areas

General Psychology

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10.3389/fpsyg.2022.848086

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keywords = "COVID-19, adherence to recommendations, anxiety, individual differences, negative affect, socio- cognitive factors",

author = "Andrea Vranic and Yang Jiang and Xiaopeng Zhao",

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AU - Vranic, Andrea

AU - Jiang, Yang

AU - Zhao, Xiaopeng

N1 - Funding Information: Part of the effort was supported by United States National Institute of Health AG060608 to YJ.

PY - 2022/2/25

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KW - adherence to recommendations

KW - anxiety

KW - individual differences

KW - negative affect

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JO - Frontiers in Psychology

JF - Frontiers in Psychology

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Editorial: Individual Differences in Cognition and Affects in the Era of Pandemic and Machine Learning

Nota bibliográfica

Financiación

ASJC Scopus subject areas

Acceder al documento

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Huella

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