Illness-death model to predict anxiety prevalence in general population during COVID-19 pandemic and beyond: a promising development in mental health epidemiology.

IF 3.9 3区医学 Q1 PSYCHIATRY

BJPsych Open Pub Date : 2025-03-17 DOI:10.1192/bjo.2024.860

Nathan J Monk, Ben Beaglehole

引用次数: 0

Abstract

Ito et al present an illness-death model projecting 82 scenarios for the prevalence of anxiety disorders in Germany from 2019 to 2030 following the COVID-19 pandemic. We suggest the modelling framework used by Ito et al has promising applications for mental health epidemiology.

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疾病-死亡模型预测COVID-19大流行期间及以后普通人群的焦虑患病率：精神卫生流行病学的一个有希望的发展。

Ito等人提出了一个疾病-死亡模型，预测了2019年至2030年2019 - 2030年德国焦虑症流行的82种情况。我们认为Ito等人使用的建模框架在精神健康流行病学方面有很好的应用前景。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

BJPsych Open Medicine-Psychiatry and Mental Health

CiteScore

6.30

自引率

3.70%

发文量

610

审稿时长

16 weeks

期刊介绍： Announcing the launch of BJPsych Open, an exciting new open access online journal for the publication of all methodologically sound research in all fields of psychiatry and disciplines related to mental health. BJPsych Open will maintain the highest scientific, peer review, and ethical standards of the BJPsych, ensure rapid publication for authors whilst sharing research with no cost to the reader in the spirit of maximising dissemination and public engagement. Cascade submission from BJPsych to BJPsych Open is a new option for authors whose first priority is rapid online publication with the prestigious BJPsych brand. Authors will also retain copyright to their works under a creative commons license.