State model for partly undetected non-communicable diseases (NCDs)
Ralph Brinks

TL;DR
This paper introduces an age-structured compartment model for non-communicable diseases that accounts for undiagnosed pre-clinical states and differential mortality, enhancing disease progression understanding.
Contribution
It presents a novel model incorporating undiagnosed disease states and differential mortality, applicable to realistic disease scenarios.
Findings
Model effectively captures pre-clinical undiagnosed states.
Can handle different mortality rates in disease stages.
Validated with hypothetical disease data.
Abstract
This article proposes an age-structured compartment model for irreversible diseases with a pre-clinical state of undiagnosed cases that precedes the diagnosis. The model is able to cope with mortality rates differing between the pre-clinical and the clinical state (differential mortality). Applicability is tested in a hypothetical disease with realistic incidence and mortality rates.
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Taxonomy
TopicsInsurance, Mortality, Demography, Risk Management · COVID-19 epidemiological studies
