Long COVID Frameworks: Examining Individual- and Population-Level Models to Assess and Improve Patient Care

Post-COVID conditions, commonly referred to as long COVID, has become of increasing interest to biomedical and public health communities. Patient advocacy is critical to not only advancing quality care outcomes for patients affected by prolonged effects of the disease, but also to contribute to our understanding of lived perspectives to ensure individual voices inform future care approaches. While there has not been a "one-size fits all" approach to standardized care, disease heterogeneity has challenged previous views that the virus is limited to single organ system infections. Stakeholders at all levels have the most impact when they collaborate and organize strategies to offer assessment and treatment in multidisciplinary settings. I propose a framework in which population- and individual-level models are integrated to enable quality outcomes while helping frontline practitioners improve their decision-making in all environments.