98%
921
2 minutes
20
During the current COVID-19 pandemic, the use of face masks has become increasingly recommended and even mandatory in community settings. To evaluate the risk of bacterial cross-contamination, this study analyzed the bacterial bioburden of disposable surgical masks and homemade cotton masks, and surveyed the habits and face mask preferences of the Flemish population. Using culture approaches and 16S rRNA gene amplicon sequencing, we analyzed the microbial community on surgical and/or cotton face masks of 13 healthy volunteers after 4 h of wearing. Cotton and surgical masks contained on average 1.46 × 10 CFU/mask and 1.32 × 10 CFU/mask, respectively. , and spp. were mostly cultured from the masks and 43% of these isolates were resistant to ampicillin or erythromycin. Microbial profiling demonstrated a consistent difference between mask types. Cotton masks mainly contained , and taxa and surgical masks and . After 4 h of mask wearing, the microbiome of the anterior nares and the cheek showed a trend toward an altered beta-diversity. According to dedicated questions in the large-scale Corona survey of the University of Antwerp with almost 25,000 participants, only 21% of responders reported to clean their cotton face mask daily. Laboratory results indicated that the best mask cleaning methods were boiling at 100°C, washing at 60°C with detergent or ironing with a steam iron. Taken together, this study suggests that a considerable number of bacteria, including pathobionts and antibiotic resistant bacteria, accumulate on surgical and even more on cotton face masks after use. Based on our results, face masks should be properly disposed of or sterilized after intensive use. Clear guidelines for the general population are crucial to reduce the bacteria-related biosafety risk of face masks, and measures such as physical distancing and increased ventilation should not be neglected when promoting face mask use.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8446422 | PMC |
http://dx.doi.org/10.3389/fmed.2021.732047 | DOI Listing |
J Relig Health
September 2025
Center for Climate Action and Social Transformations (4CAST) Institute of Psychology, SWPS University, Warsaw, Poland.
The present study examined responses to COVID-19 at the beginning of the pandemic, April 2020, among a representative sample of 880 Poles. Participants described their religious beliefs, their emotional reactions to the pandemic, the changes they had made in their behavior since the onset of the pandemic, and their political orientation (left-right). Roman Catholics felt more threatened by the pandemic than non-believers, and Catholics reacted more strongly to the pandemic than non-believers in terms of feeling scared, paralyzed by fear, panicked, fearful, sad, woebegone, and lost, whereas there were no such differences on other emotional reactions.
View Article and Find Full Text PDFPhotodiagnosis Photodyn Ther
September 2025
Department of Ophthalmology, People's Hospital of Feng Jie, Chongqing, 404600, China. Electronic address:
Objective: This study aims to develop a robust, multi-task deep learning framework that integrates vessel segmentation and radiomic analysis for the automated classification of four retinal conditions- diabetic retinopathy (DR), hypertensive retinopathy (HR), papilledema, and normal fundus-using fundus images.
Materials: AND.
Methods: A total of 2,165 patients from eight medical centers were enrolled.
Cell Rep
September 2025
State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China. Electronic address:
Nuclear factor κB (NF-κB) family transcription factors are critical for innate immune responses across a variety of organisms and are frequently dysregulated in diseases. Understanding their homeostatic regulation is essential for developing therapeutic strategies. Relish, a Drosophila homolog of mammalian NF-κB precursors, provides a valuable model for studying these processes.
View Article and Find Full Text PDFObjective: The objective of this retrospective study is to develop and validate an artificial intelligence model constrained by the anatomical structure of the brain with the aim of improving the accuracy of prenatal diagnosis of fetal cerebellar hypoplasia using ultrasound imaging.
Background: Fetal central nervous system dysplasia is one of the most prevalent congenital malformations, and cerebellar hypoplasia represents a significant manifestation of this anomaly. Accurate clinical diagnosis is of great importance for the purpose of prenatal screening of fetal health.
J Emerg Manag
September 2025
University of Houston, Houston, Texas. ORCID: https://orcid.org/0000-0003-1191-1427.
In 2020, emergency operations resources in the United States began responding to the presence of coronavirus disease 2019 and its variants. Mitigation efforts to control the spread of the coronavirus by these organizations included vaccination, increased sanitation, social distancing, and physical barriers such as masks and shields. Due to the nature of the coronavirus and emergency operations requirements, these approaches have proven not be 100 percent effective in fully meeting those needs.
View Article and Find Full Text PDF