ABSTRACT
In this study, a method was proposed to predict the infection probability distribution rather than the room-averaged value. The infection probability by airborne transmission was predicted based on the CO2 concentration. The infection probability by droplet transmission was predicted based on occupant position information. Applying the proposed method to an actual office confirmed that it could be used for quantitatively predicting the infection probability by integrating the ventilation efficiency and distance between occupants. The infection probability by airborne transmission was relatively high in a zone where the amount of outdoor air supply was relatively small. The infection probability by droplet transmission varied with the position of the occupants. The ability of the proposed method to analyze the relative effectiveness of countermeasures for airborne transmission and droplet transmission was verified in this study. © 2022 17th International Conference on Indoor Air Quality and Climate, INDOOR AIR 2022. All rights reserved.
ABSTRACT
The COVID-19 pandemic has been a global reality for over two years. Heart disease patients and transplant recipients are vulnerable groups to the aggravation of the disease, considering, also, that the infection can cause or worsen conditions such as myocarditis and heart failure. Although not all patients infected by Sars-Cov-2 develop IgG antibodies, it is known that serological studies have great importance for the comprehension of the virus's behavior in a specific population, as it can suggest the status of the epidemic in a community. This study aims to analyze the serological profile for COVID-19 in patients before and after pediatric heart transplant. A cross-sectional cohort was performed in children and adults with heart disease, before and after heart transplant. Serologies for IgG and IgM antibodies for Sars-CoV-2 were collected in patients of the Pediatric Cardiology and Congenital Heart Diseases unit of a Brazilian hospital between January and August 2022. In total, 174 patients were recruited: 28 on waiting list and 146 recipients. Information such as demographics (age, sex, state of origin), type of heart disease (congenital or acquired) and time after transplant were analyzed. : 21 pre-transplant and 123 post-transplant. 60 patients had positive IgG (41,67%), and 21, positive IgM (14,58%). In the post-transplant group, 50 patients had positive IgG (40,65%) and 21, positive IgM (17,07%);in the pre-transplant group, 10 patients had positive IgG (47,62%) and there was no positive IgM. In total, 76 patients had no positive results for either antibodies (52,78%): 11 being pre-transplant (52,38%) and 65, post-transplant (52,85%). The study made it possible to identify antibodies in heart disease patients before and after heart transplant in approximately half of the population studied. This study reinforces the need for multidisciplinary orientation of patients and families on COVID-19 prevention and complications. [ABSTRACT FROM AUTHOR] Copyright of Journal of Heart & Lung Transplantation is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)