ABSTRACT
BACKGROUND: Data on pediatric coronavirus disease 2019 (COVID-19) has lagged behind adults throughout the pandemic. An understanding of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral dynamics in children would enable data-driven public health guidance. METHODS: Respiratory swabs were collected from children with COVID-19. Viral load was quantified by reverse-transcription polymerase chain reaction (RT-PCR); viral culture was assessed by direct observation of cytopathic effects and semiquantitative viral titers. Correlations with age, symptom duration, and disease severity were analyzed. SARS-CoV-2 whole genome sequences were compared with contemporaneous sequences. RESULTS: One hundred ten children with COVID-19 (median age, 10 years [range, 2 weeks-21 years]) were included in this study. Age did not impact SARS-CoV-2 viral load. Children were most infectious within the first 5 days of illness, and severe disease did not correlate with increased viral loads. Pediatric SARS-CoV-2 sequences were representative of those in the community and novel variants were identified. CONCLUSIONS: Symptomatic and asymptomatic children can carry high quantities of live, replicating SARS-CoV-2, creating a potential reservoir for transmission and evolution of genetic variants. As guidance around social distancing and masking evolves following vaccine uptake in older populations, a clear understanding of SARS-CoV-2 infection dynamics in children is critical for rational development of public health policies and vaccination strategies to mitigate the impact of COVID-19.
Subject(s)
COVID-19 , Viral Load , Adolescent , COVID-19/diagnosis , COVID-19/pathology , Child , Child, Preschool , Humans , Infant , Infant, Newborn , Pandemics , SARS-CoV-2/genetics , Young AdultABSTRACT
Objective: Asthma is often inadequately controlled, which can result in exacerbations that lead to unplanned healthcare visits. Mobile application (app) use could help manage asthma exacerbations. We implemented the Amaze™ asthma disease management platform in clinical practice and assessed user satisfaction, usage, and usability. Methods: Adults with asthma and healthcare professionals (HCPs) were enrolled from a community allergy practice (ClinicalTrials.gov Identifier: NCT04901260) and a large academic hospital (ClinicalTrials.gov Identifier: NCT04868500). Primary and exploratory outcomes included assessment of platform design, patient app usage, patient-reported daily asthma status, emergency room/urgent care visits, and ease of implementation by HCPs. The system usability scale and a post-clinic visit survey were also administered. HCPs/staff monitored the Amaze dashboard to assess patient needs and completed a post-study survey. Results: Overall, 159 patients and five HCPs participated in the study. Patients' mean (SD) age was 38.7 (16.4) years; most were female (78%) and White (78%). Mean patient app usage began at 3.6â days/week but declined to 1.0â day/week by the end of the study. Throughout the study, most daily entries (>69%) reported patient asthma status as "good." Most patients were satisfied/very satisfied with the app (66%) and reported it helped them during discussions with their HCP (44%). Most patients rated the usability of Amaze as "excellent" (49%) or "good" (30%). Most HCPs (71%) reported that Amaze was "very easy" to implement. Conclusions: Most patients and HCPs were satisfied with Amaze. The Amaze platform may help patients and HCPs monitor asthma status, which could improve asthma control.