The British journal of psychiatry : the journal of mental science
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The evolving COVID-19 pandemic and its likely consequences add to the already substantial psychosocial burden caused by global problems, existential threats and heightened uncertainty, which are increasingly confronting communities worldwide. Here we briefly outline three challenges for clinical psychiatry and research, related to coping with the social epidemiology of negative moods, stress and socially mediated traumatic experiences brought on by these adverse developments.
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The coronavirus disease 2019 pandemic has led to unprecedented disruption to the normal way of life for people around the globe. Social distancing, self-isolation or shielding have been strongly advised or mandated in most countries. We suggest evidence-based ways that people can maintain or even strengthen their mental health during this crisis.
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Editorial
Rise of the machines? Machine learning approaches and mental health: opportunities and challenges.
Machine learning methods are being increasingly applied to physical healthcare. In this article we describe some of the potential benefits, challenges and limitations of this approach in a mental health context. We provide a number of examples where machine learning could add value beyond conventional statistical modelling. Declaration of interestNone.
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The DSM and ICD have taken steps to introduce a grief disorder as a new diagnostic entity. Evidence justifies the inclusion of prolonged grief disorder, but not complicated grief, as a new mental disorder.
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Psychiatry uncomfortably spans biological and psychosocial perspectives on mental illness, an idea central to Engel's biopsychosocial paradigm. This paradigm was extremely ambitious, proposing new foundations for clinical practice as well as a non-reductive metaphysics for mental illness. ⋯ And yet the view remains influential. We reassess the relevance of the biopsychosocial paradigm for psychiatry, distinguishing a number of ways in which it could be (re)conceived.