Redefining Life-Course Epidemiology: From the Shock to the Chronic Reality

The mobilization of epidemiologists during the SARS-CoV-2 pandemic showed that the research community can develop, validate, and scale complex models in record time. However, while COVID-19 was an acute shock, the Non-Communicable Disease (NCD) crisis is the permanent "slow-motion pandemic" of the 21st century.The SARS-CoV-2 pandemic catalyzed an unprecedented leap in epidemiological modeling. We saw the rapid evolution of stochastic compartmental models, high-resolution agent-based simulations, and the integration of real-time mobility and behavioral data. However, as the "epidemiological transition" deepens globally, the burden of disease has shifted decisively toward chronic conditions, such as Leukemia, Parkinson’s, Type 2 Diabetes, and Alzheimer’s, where the "transmission" is not between people, but across an individual’s life stages.Chronic diseases are defined by long latencies, complex etiologies, and late-onset sequelae. Unlike the days-long incubation of a virus, the delay between disease initiation and functional decline in NCDs can span decades. We are currently facing a "silent pandemic" that threatens the sustainability of global healthcare systems and the quality of life of an aging population.We invite researchers to pivot the methodological energy released during the COVID-19 era toward the modeling of chronic disease dynamics. We seek innovative approaches that move beyond static life tables toward dynamic, history-dependent systems. Submissions on the following topics are encouraged:• Delay Differential Equations (DDEs) & Memory Effects: Applications where the current prevalence of functional decline is modeled as a convolution of historical incidence specifically accounting for state-specific mortality μI during the "waiting period."• Multi-State Life Course Modeling: Moving from three-state models to high-dimensional systems that capture multimorbidity—modeling how the presence of one chronic delay (e.g., hypertension) accelerates the onset of another (e.g., vascular dementia).• The "Lead-Time" Paradox in Screening: Refining models that distinguish between "early detection" and "early onset" to solve the challenge of length-time and lead-time bias in epidemiological surveys.• Stochastic approaches to modelling of health related quality of life (HRQoL) and health expenditures• Integrating "Big Data" with Mechanistic Models: Using the real-world evidence (RWE) from electronic health records and longitudinal cohorts to estimate transition rates and kernels for distributed delays.The tools used to flatten the curve of a respiratory virus must now be adapted to delay the curve of functional decline. The goal is not just to extend life, but to model the "Compression of Morbidity" - extending the period of functional independence by understanding the rigorous mathematical relationship between incidence, duration, and decline. We welcome original research, methodological papers, reviews, perspectives, and case studies that contribute to a deeper understanding of chronic disease epidemiology across the lifespan. Topic editors: Ralph Brinks, Thaddäus Tönnies, Susanne Strohmaier Source: https://www.frontiersin.org/research-topics/80598/redefining-life-course-epidemiology-from-the-shock-to-the-chronic-reality