Dana L. Surwill

Background: Fungal infections pose a significant threat to public health, with over 6.55 million cases and 2.55 million deaths annually. Exposure to fungal spores in indoor environments primarily occurs through inhalation or direct contact with surfaces. Monitoring is critical for early detection and prevention of outbreaks, yet routine airborne fungal testing is not universally mandated across healthcare settings. Methods: A systematic review of peer-reviewed articles from four databases was conducted to identify current airborne fungal monitoring guidelines and best practices for sample collection, culture media, incubation conditions, and results interpretation. Results: Eighteen articles met the inclusion criteria, and four studies discussed potential guidelines for acceptable airborne fungal levels in healthcare environments. Guidelines ranged from 1000 CFU/m³ for non-filtered areas. The most common fungi identified were Aspergillus, Penicillium, Alternaria, Cladosporium, and Rhizopus, with six WHO-listed critical fungal pathogens found. Impaction was the sole sampling method used, with most studies employing Sabouraud dextrose or malt extract agar with chloramphenicol, incubation for 2–7 days at 25–30 °C, and morphological identification. Conclusions: The need for globally recognized fungal monitoring standards is pressing. Without them, preventable fungal exposure will persist, risking severe, potentially fatal infections for patients and healthcare workers.

Many factors affect an individual’s resilience. Low resilience has been attributed to increased stress, anxiety, depression, and suicidality within the LGBTQIA + population, which is heightened compared to different populations. This study identifies predictors of resilience in the LGBTQIA + population and aims to identify predicting factors at all levels of the socioecological model. This was a cross-sectional study of data from a web-based survey that was conducted from January to February 2022. A national sample of 1033 LGBTQIA + adults was utilized for hierarchical regression analysis. Hierarchical regression analyses were performed for total resilience, which had an average score of 143.66 (SD = 33.88) and accounted for 53.4% of resiliency variance. Factors that were found to decrease an individuals resiliency score were depression, stress, suicidality, and isolation discrimination distress. Factors found to increase an individuals resiliency scores are college graduate 4 years+, married, outness, personal comfortability with being SGM, gender expression discrimination distress, and vicarious discrimination distress. Understanding the factors that influence resilience is vital to improving the resilience of the LGBTQIA + communities. Interventions that focus on decreasing depression, stress, and suicidality may be particularly impactful for all types of resilience.