The COVID-19 pandemic has been shown to have a major negative impact on global mental health and patients with mental illness may be particularly vulnerable. We show that developments in COVID-19 pandemic-related psychopathology among patients with mental illness can be meaningfully monitored using machine learning methods. The COVID-19 pandemic-related psychopathology was found to covary with the pandemic pressure. This correlation was, however, less pronounced during the second wave compared to the first wave of the pandemic - possibly due to habituation.

中文翻译：

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使用机器学习监测 COVID-19 大流行相关的精神病理学

COVID-19 大流行已被证明对全球精神健康产生重大负面影响，精神疾病患者可能特别脆弱。我们表明，可以使用机器学习方法有意义地监测精神疾病患者中 COVID-19 大流行相关精神病理学的发展。发现与 COVID-19 大流行相关的精神病理学与大流行压力共变。然而，与第一波大流行相比，这种相关性在第二波期间不太明显——可能是由于习惯。