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Machine learning techniques for predicting depression and anxiety in pregnant and postpartum women during the COVID-19 pandemic: a cross-sectional regional study
(
F1000Research
, 2022 , Article)
Background : Maternal depression and anxiety are significant public health concerns that play an important role in the health and well-being of mothers and children. The COVID-19 pandemic, the consequential lockdowns and ...
Mental health, burnout and resilience in community pharmacists during the COVID-19 pandemic: A cross-sectional study
(
Elsevier
, 2022 , Article)
BackgroundThe study aimed to assess burnout, resilience, and levels of depression, anxiety, stress and fear among community pharmacists during the pandemic, and examine if fear of COVID-19 is associated with these outcomes ...
A cross-sectional study on the impact of the COVID-19 pandemic on psychological outcomes: Multiple indicators and multiple causes modeling
(
Public Library of Science
, 2022 , Article)
Although the psychological impact of coronavirus disease 2019 (COVID-19) has been evaluated in the literature, further research is needed, particularly on post-traumatic stress disorder (PTSD) and psychological outcomes, ...
Trends in prevalence of depression and anxiety symptoms and effects of sociodemographic variables before and after the first wave of COVID-19 in Qatar
(
Elsevier
, 2022 , Article)
Background
Prevalence trends from Arabic speaking countries on psychiatric symptoms before and after the first wave of the COVID-19 pandemic are lacking. We estimated the point prevalence and change in depression and ...