The aim of this study was to investigate the impact of the COVID-19 pandemic on the attitudes towards the lifting of con nement. Methods: The data were collected using a questionnaire applied to 344 people in different regions of Algeria from April 21, 2020, for two weeks afterward, in order to determine the attitudes of the Algerian people towards the post-coronavirus COVID-19 phase. Results: The results of this study indicate that 94.2% of respondents insist on lifting the con nement to apply gradually and partially. Accordingly, there is a signi cant impact of gender and age on social attitudes towards the post-coronavirus phase. Similarly, the results highlighted the existence of a positive level of attitude towards the post-coronavirus phase COVID-19 in the need to digitize education, digitize social transactions, and develop sustainable transport and the public health sector. Results: People living in con nement indicate that it is necessary to prepare for the post-coronavirus period, in particular through the vital sectors linked to daily life.

The novel coronavirus disease

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Xiang Y-T (2021). Posttraumatic stress symptoms and attitude toward crisis mental health services among clinically stable patients with COVID-19 in China.

Highlights ED nurses exposed to COVID-19 could be psychologically and mentally exhausted. Prevalence of depression among 1,103 ED nurses was 43.61% (95% CI=40.68%–46.54%). A heightened awareness of and timely treatment for depression for frontline ED nurses should be provided.

Although most knowledge regarding antidepressant effects is at the receptor level, the neurophysiological correlates of these neurochemical changes remain poorly understood. Such an understanding could benefit from elucidation of antidepressant effects at the level of neural circuits, which would be crucial in identifying biomarkers for monitoring treatment efficacy of antidepressants. In this study, we recruited 20 first-episode drug-naive major depressive disorder (MDD) patients and performed resting-state functional magnetic resonance imaging (MRI) scans before and after 8 weeks of treatment with a selective serotonin reuptake inhibitor-escitalopram. Twenty healthy controls (HCs) were also scanned twice with an 8-week interval. Whole-brain connectivity was analyzed using a graph-theory approach-functional connectivity strength (FCS). The analysis of covariance of FCS was used to determine treatment-related changes. We observed significant group-by-time interaction on FCS in the bilateral dorsomedial prefrontal cortex and bilateral hippocampi. Post hoc analyses revealed that the FCS values in the bilateral dorsomedial prefrontal cortex were significantly higher in the MDD patients compared to HCs at baseline and were significantly reduced after treatment; conversely, the FCS values in the bilateral hippocampi were significantly lower in the patients at baseline and were significantly increased after treatment. Importantly, FCS reduction in the dorsomedial prefrontal cortex was significantly correlated with symptomatic improvement. Together, these findings provided evidence that this commonly used antidepressant can selectively modulate the intrinsic network connectivity associated with the medial prefrontal-limbic system, thus significantly adding to our understanding of antidepressant effects at a circuit level and suggesting potential imaging-based biomarkers for treatment evaluation in MDD.

The health authorities reported that 3,019 Chinese health workers were infected with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), of whom, ten died. This article explored relevant reasons and offered suggestions to reduce the risk of infection and provide emergency psychological response for this population.

were provided rapidly to the public in China free of charge.Broad dissemination in both Chinese and English will accomplish the goals of communicating timely and crucial findings to the international scientific community, while also disseminating this information to health-care workers on the frontline who need to understand the epidemiological and clinical features of COVID-19. This strategy will improve effective control strategies to ultimately contain the virus and protect the health of the public.