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

**Authors:** Nathan J. Monk, Ben Beaglehole

PMC · DOI: 10.1192/bjo.2024.860 · BJPsych Open · 2025-03-17

## TL;DR

This paper introduces a model to predict anxiety disorder prevalence in Germany during and after the pandemic, offering new insights for mental health studies.

## Contribution

The paper proposes an illness–death model with 82 scenarios for predicting anxiety trends in mental health epidemiology.

## Key findings

- The model projects anxiety disorder prevalence in Germany from 2019 to 2030.
- The framework shows potential for broader use in mental health epidemiology.

## 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.

## Linked entities

- **Diseases:** COVID-19 (MONDO:0100096)

## Full-text entities

- **Diseases:** COVID-19 (MESH:D000086382), anxiety disorders (MESH:D001008), anxiety (MESH:D001007), death (MESH:D003643)

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12001917/full.md

## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12001917/full.md

## References

15 references — full list in the complete paper: https://tomesphere.com/paper/PMC12001917/full.md

---
Source: https://tomesphere.com/paper/PMC12001917