Individuals infected with the SARS-CoV-2 virus (which causes COVID-19) can experience persistent symptoms many months after acute infection. These lingering symptoms are referred to as Post-COVID Conditions (PCCs), also known as “long COVID” or post-acute sequalae. Precise, population-based estimates of the incidence and prevalence of PCCs using reliable methods are unknown. The purpose of this project is to enhance surveillance of PCCs in order to better estimate the incidence and prevalence of PCCs as well as measure the burden and outcomes on populations impacted by PCCs. Using integrated electronic health records of individuals who have tested positive for SARS-CoV-2, Indiana University (IU) and the Regenstrief Institute, in collaboration with local clinical and public health partners as well as the CDC and PCC Coordinating Center, will develop a comprehensive, statewide surveillance system for PCCs. First, we will define, extract, and validate a retrospective, population-level cohort of diverse individuals with SARS-CoV-2 infection. The cohort will expand over time, enabling measurement of incidence and prevalence of PCCs longitudinally. Second, we will recruit three age-based cohorts (<12 years, 12-17 years, 18+ years) to prospectively track individuals with recent SARS-CoV-2 infection to measure the burden and outcomes for individuals with PCCs. Our multi-pronged surveillance approach will enable measurement of the clinical spectrum, progression, incidence, and prevalence of PCCs in diverse populations. Our work will leverage the robust health information infrastructure in Indiana that includes data exchanged between clinical and public health partners. It will further support the training of junior scientists who will be part of a future public health workforce with skills in public health informatics as well as data science.