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

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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Publication Details

Journal
BJPsych Open
Published
2025-03-01
DOI
https://doi.org/10.1192/bjo.2024.860
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Ben Beaglehole, Nathan J Monk
BJPsych Open
Mental Health Research Topics
article

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

Ben Beaglehole, Nathan J Monk
article en

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.

BJPsych OpenVol. 11(2)
University of Otago (NZ)
Good health and well-being
Openalex Percentile: Top 95%
Mental Health Research Topics
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Illness–death model to predict anxiety prevalence in general population during COVID-19 pandemic and beyond: a promising development in mental health epidemiology — Ben Beaglehole, Nathan J Monk · BJPsych Open (2025) | TGRS Research Map | TGRS