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Association between variables and distress during the COVID pandemic (<i>N</i> = 1060).

NIAID Data Ecosystem2026-03-12 收录

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https://figshare.com/articles/dataset/Association_between_variables_and_distress_during_the_COVID_pandemic_i_N_i_1060_/15107536 数据链接链接失效反馈

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Association between variables and distress during the COVID pandemic (N = 1060).

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创建时间：

2021-08-04

COVID-19心理困扰

应对策略

BackgroundThe COVID-19 pandemic has imposed enormous psychological discomfort and fear across the globe, including Germany. ObjectivesTo assess the levels of COVID-19 associated psychological distress

NIAID Data Ecosystem110

Correlations among study variables (n = 1047).

COVID-19心理困扰

社会支持质量

This longitudinal study examined a sample of adult Poles (N = 1245), who were interviewed three times from July 2021 to August 2022, during the later stages of the COVID-19 pandemic. The study had two

NIAID Data Ecosystem10

Supplementary file 1_Understanding psychological distress affecting surgical oncology patients during the COVID-19 pandemic—experience from a tertiary cancer care center in the Middle East.docx

COVID-19心理困扰

外科肿瘤患者心理健康

BackgroundThe COVID-19 pandemic brought stress and anxiety on a global level, and the rapid growth of cases forced medical facilities to redesign their services, prioritizing urgent surgical care. Can

NIAID Data Ecosystem00

Regression analyses with the psychological factor scale of the C19-PS instrument as outcome.

COVID-19心理困扰

心理量表分析

Regression analyses with the psychological factor scale of the C19-PS instrument as outcome.

Figshare2024-04-16 更新10

Data_Sheet_1_Risk of psychological distress by decrease in economic activity, gender, and age due to COVID-19: A multinational study.PDF

COVID-19心理困扰

疫情经济影响

IntroductionCoronavirus disease (COVID-19) is an infectious disease caused by the SARS-CoV-2-virus. COVID-19 has officially been declared as the latest in the list of pandemics by WHO at the start of

NIAID Data Ecosystem00

Association between variables and distress during the COVID pandemic (<i>N</i> = 1060).

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