Résumé
The ongoing COVID-19 pandemic has caused millions of deaths worldwide along with detrimental socioeconomic consequences. Existing evidence suggests that the rate of indoor transmission is directly linked with the Indoor Air Quality (IAQ) conditions. Most of the existing methodologies for virus transmissibility risk estimation are based on the well-known Wells-Riley equation and assume well-mixed, uniform conditions;so spatiotemporal variations within the indoor space are not captured. In this work, a novel fine-grained methodology for real-time virus transmission risk estimation is developed using a 3D model of a real office room with 31 occupants. CONTAM-CFD0 software is used to compute the airflow vectors and the resulting 3D CO2 concentration map (attributed to the exhalations from the occupants). Simulation results are also provided that demonstrate the efficacy of using CO2 sensors for estimating the infection risk in real-time in the 3D office environment. © 2022 17th International Conference on Indoor Air Quality and Climate, INDOOR AIR 2022. All rights reserved.
Résumé
Introduction: Following the trend of digital health applications, implemented especially during the COVID-19 pandemic, the ENDORSE project, is designed as an innovative integrated platform for supporting clinical decision making and telemedicine in children with Type 1 Diabetes Mellitus (T1DM), utilizing explainable artificial intelligence along with gamification and mobile technologies. Objective(s): Assessment of preliminary data from the prepilot phase of the ENDORSE feasibility trial. Method(s): ENDORSE platform utilizes various data sources such as glucose sensors (Flash Glucose Monitoring-FGM), smart insulin pen caps, activity trackers, mobile apps, Electronic Health Records and a newly developed serious game. A 13 T1DM children and adolescents (8 females, on multiple daily injections, mean diabetes duration 2, 57 years, mean HbA1c 7, 6%, mean Body Mass Index +1, 2 SDS, mean monitoring days: 151), followed in our Diabetes Center, were assessed regarding adherence to the study protocol. They all had internet access and only one has used a diabetes mobile application before. Result(s): As shown in Table 1, most of the patients used the Smart Insulin Pen Cap to document insulin and food data and many performed mobile FGM scanning, while the engagement to the ENDORSE serious game, aiming at training in self-disease management, along with the activity trackers is highly variable. Conclusion(s): ENDORSE platform along with changes in daily diabetes care practices like CGM usage, is expected to improve diabetes management through facilitating training, monitoring and feedback to the patients and their caregivers. In order to further improve its adherence and acceptance, factors such as the level of digital literacy and the need of a personalized experience to improve usability, should be also taken into consideration.
Résumé
Background and Aims: Following the trend of digital health applications, implemented especially during the COVID-19 pandemic, the Greek funded project, named ''ENDORSE'', is designed as an innovative integrated platform for supporting clinical decision making and telemedicine in children with Type 1 Diabetes Mellitus (T1DM), harnessing the power of explainable artificial intelligence along with gamification and mobile technologies. Methods: ENDORSE platform utilizes various data sources such as glucose sensors, smart insulin pens, activity trackers, mobile apps, Electronic Health Records and serious games. A two-phase pilot trial is foreseen to evaluate its effectiveness. In the pre-pilot phase, 14 T1DM children and adolescents followed in the Diabetes Center (Table 1) were enrolled and preliminary data regarding patients' adherence, are presented. Results: As shown in Table 2, most of the patients were able to regularly perform FGM scanning through mobile phones while the engagement to the ENDORSE serious game, aiming at training in self-disease management, along with the activity trackers is highly variable. Conclusions: ENDORSE platform along with changes in daily diabetes care practices like CGM usage, is expected to improve diabetes management through facilitating training, monitoring and feedback to the patients and their caregivers. In order to further improve ENDORSE's adherence and acceptance, factors such as the level of digital literacy and internet access should be also taken into consideration.