Modeling the temporal prevalence peak drift of chronic diseases
Our study shows the theoretical derivation and determination of prevalence peak drifts. Our findings underpin the dynamic nature of chronic disease prevalence, highlighting the importance of considering the related age-dependent trends for planning future healthcare activities.
Authors
- Ralph Brinks (ORCID: https://orcid.org/0000-0003-0961-6592)
- Annika Hoyer (ORCID: https://orcid.org/0000-0002-0241-9951)
- Jürgen Rodenkirchen
Institutions
- Witten/Herdecke University (DE)
- Bielefeld University (DE)
Publication Details
- Journal
- BMC Medical Research Methodology
- Published
- 2025-03-07
- DOI
- https://doi.org/10.1186/s12874-025-02517-1
- Citations
- 1
- Primary Topic
- Chronic Disease Management Strategies
- Type
- article
- Field-Weighted Citation Impact
- 1.35
Funders
- Universität Bielefeld