Assessment of Use and Fit of Face Masks Among Individuals in Public During the COVID-19 Pandemic in China.

Importance: Face masks are recommended to prevent transmission of coronavirus disease 2019 (COVID-19); however, there is scarce evidence on their protection efficacy and ways to improve it. Objective: To determine the proportion of improper face mask use, the factors associated with face mask protection efficacy, and ways to improve efficacy. Design, Setting, and Participants: This population-based cross-sectional study was conducted in China from July to August 2020 in 5 kinds of public places. Participants included convenience samples of individuals wearing face masks and able to taste the check solution. Exposures: Demographic and socioeconomic characteristics, including sex, age, and education level; information on face mask model and the worn duration was recorded. Main Outcomes and Measures: The main outcome as airtightness, assessed by detecting face-to-face mask gaps, movement of cotton fiber placed at the face mask edges, and using a qualitative fit test with a bitter solution spray. Masks were further assessed for whether sealing the upper face mask edge with an adhesive tape strip was associated with improved face mask airtightness. Results: Among 6003 face mask wearers enrolled, the mean (SD) age of participants was 31.1 (13.7) years, and 3047 participants (50.8%) were female. The first qualitative fit test found air leakage in 2754 participants (45.9%; 95% CI, 44.6%-47.1%), which was mostly attributable to gaps at the upper face mask edge. After sealing the upper face mask edge with an adhesive tape strip, 69.7% (95% CI, 68.0%-71.5%) of masks that had exhibited leakage became airtight in the second qualitative fit test, and the rate of airtightness reached 96.2% (95% CI, 95.4%-96.8%) in a third qualitative fit test after new surgical face masks with tape on the upper edge were provided to those who had not converted initially. The tape was well tolerated; overall, 6 participants (1.2%) reported a rash and 24 participants (5.8%) reported significant discomfort. Conclusions and Relevance: In this study of face mask fit among participants in China, although most people used face masks in public places, compromised protection due to suboptimal airtightness was common. The simple approach of sealing the upper edge of the face mask with an adhesive tape strip was associated with substantially improved its airtightness.

Viral and host factors related to the clinic outcome of the SARS-CoV-2 infection (preprint)

At least three months have been passed since the outbreak of the severe acute respiratory disease, COVID-19 in Wuhan city, China in December 2019, caused by the infection of a novel coronavirus, SARS-CoV-2. 1,2 . Due to its rapid spread throughout China and abroad, knowledge sharing for both its epidemiology and clinic manifestations is urgently need. Here we analyzed the clinical, molecular and immunological data from 326 confirmed cases of SARS-CoV-2 infection in Shanghai. Genomic sequences assembled from 112 quality samples together with uploaded sequences in Global Initiative on Sharing All Influenza Data (GISAID) showed a stable evolution and suggested two major lineages with differential exposure history during the earliest outbreak in Wuhan. Nevertheless, they exhibited similar virulence and clinical outcomes. Lymphocytopenia, especially the reduced CD4+ and CD8+ T cell counts upon admission, was predictive of disease progression. High level of IL-6 and IL-8 during treatment was observed in severe and critical patients and correlated with decreased lymphocyte count. The determinants of disease severity seemed to stem mostly from host factors such age, lymphocytopenia and its associated cytokine storm whereas viral genetic variation did not significantly affect the outcomes. This comprehensive analysis on the molecular, immunological and clinical data provides a panorama of the key determinants related to the disease outcomes which should be helpful for improving the current combat against this extremely aggressive pandemic.Authors Xiaonan Zhang, Yun Tan, Yun Ling, Gang Lu, Feng Liu, and Zhigang Yi contributed equally to this work.