When responding to the COVID-19 pandemic, public health entities have had to use available data to rapidly develop policies to reduce transmission, including determining duration of isolation and evaluating interventions such as masking to reduce transmission. Mathematical models often can be used to evaluate interventions when data are sparse, assuming that key parameters are known. SARS-CoV-2 shedding kinetics (corresponding to within-host virus proliferation, peak, and clearance stages) and its association with disease progression and onward transmission inform models that can be used to evaluate the effectiveness of prevention strategies. Jung et al, 1 in a timely composite analysis of 2 intensive longitudinal studies in South Korea, shed light on this association. The first study (March 2020 to November 2021) tracked secondary transmission from health care workers, patients, and caregivers, stratified by vaccination status, and found that secondary transmission from fully vaccinated infected individuals was less common than from unvaccinated and partially vaccinated ones. 1 Vaccinated individuals received the ChAdOx-nCoV-1, BNT162b2, or mRNA-1273 vaccines. The second study 1 (July to August 2021) attempted to culture virus daily from mildly symptomatic individuals, finding that although viral load was similar across groups, unvaccinated and partially vaccinated individuals shed culturable virus longer than vaccinated individuals. The different duration of culturable virus between groups in the second study provides a plausible mechanism for patterns in secondary transmission noted in the first. Detecting these differences in transmission and viral shedding may not have been possible without strong study designs.