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Competing Interests: J.A. is a member of the Platform for AI Ethics, Netherlands Institute for Standardization (NEN), member of the NEN 7542 workgroup on standardization of medication process data and contract reviewer for the European Commission. S.A.-A. has received consulting fees from AstraZeneca, Agilent Biotechnologies, and Diazyme. A.D.B. has received grants or contracts from NIH and NSF, payment or honoraria from Adelphi University, and travel support from Microsoft. A.J.B. is a cofounder of and consultant to Personalis and NuMedii; consultant to Mango Tree Corporation, and in the recent past, Samsung, 10x Genomics, Helix, Pathway Genomics, and Verinata (Illumina); has served on paid advisory panels or boards for Geisinger Health, Regenstrief Institute, Gerson Lehman Group, AlphaSights, Covance, Novartis, Genentech, and Merck, and Roche; is a shareholder in Personalis and NuMedii; is a minor shareholder in Apple, Meta (Facebook), Alphabet (Google), Microsoft, Amazon, Snap, 10x Genomics, Illumina, Regeneron, Sanofi, Pfizer, Royalty Pharma, Moderna, Sutro, Doximity, BioNtech, Invitae, Pacific Biosciences, Editas Medicine, Nuna Health, Assay Depot, and Vet24seven, and several other non–health-related companies and mutual funds; and has received honoraria and travel reimbursement for invited talks from Johnson and Johnson, Roche, Genentech, Pfizer, Merck, Lilly, Takeda, Varian, Mars, Siemens, Optum, Abbott, Celgene, AstraZeneca, AbbVie, Westat, and many academic institutions, medical or disease specific foundations and associations, and health systems. A.J.B. receives royalty payments through Stanford University, for several patents and other disclosures licensed to NuMedii and Personalis. A.J.B.'s research has been funded by NIH, Peraton (as the prime on an NIH contract), Genentech, Johnson and Johnson, FDA, Robert Wood Johnson Foundation, Leon Lowenstein Foundation, Intervalien Foundation, Priscilla Chan and Mark Zuckerberg, the Barbara and Gerson Bakar Foundation, and in the recent past, the March of Dimes, Juvenile Diabetes Research Foundation, California Governor's Office of Planning and Research, California Institute for Regenerative Medicine, L'Oreal, and Progenity. A.B.C. has received consulting fees from Invitae Corporation. J.K.C. has received grants or contracts from the Office of Rural Health and Office of Healthcare and Equity, VHA. P.L.E. has received grants or contracts from NLM, NIAAA, and NCATS. Oluseyi Fayanju has received grants or contracts from GetSmarter. L.J.F. serves as a consultant to the American Psychiatric Association, has received travel support in relation to that role, and has also received grant support from NIMH. B.R.J. has received stock or stock options from Consent Vault, LLC. V.N.-J. occupies leadership or fiduciary roles with the Academy of Breastfeeding Medicine and West Central Illinois Breastfeeding Task Force. Ross Koppel has received consulting fees from advisors who contemplate investment in EHR companies, payment or honoraria from University at Buffalo, payment for expert testimony from the U.S. Department of Justice, stock or stock options from TrekIT, and occupies editor roles with the Journal of Applied Clinical Informatics and the International Journal of Medical Informatics. B.K. has received payment or honoraria from the Fall DeVos Medical Ethics Colloquy, and travel support to attend CSHI and AMIA conferences. C.U.L. has received royalties or licenses from Springer, has participated in a Data Safety monitoring board conducted by Lipika Samal at Harvard, and has received stock or stock options from Markel and Celanese. Z.C.L. has received consulting fees from Atrius Health, travel support from the University of Washington, Atrius Health, and Jackson Health System. R.J.M. has supported the present manuscript as a Texas Health Resources Clinical Scholar, has received grants or contracts from the Centers for Disease Control and Prevention, Sergey Brin Family Foundation, and Verily Life Sciences, payment or honoraria from Clinical Infectious Diseases, and occupies a leadership role with the Infectious Diseases Society of America. E.R.M. has received grants or contracts from the National Institute on Drug Abuse, the American Medical Association, and the Agency for Healthcare Research and Quality. A.B.N. has received grants or contracts from Royal Phillips and Eli Lilly, consulting fees from Intuity Medical, Roche, Eli Lilly, Sanofi, Greenberg Traurig, and Medtronic, payment or honoraria from The Doctors Company and TCOYD, and payment for expert testimony from AMFS. L.L.N. has received grants or contracts from GetPreCiSe, Florida State University, AHRQ, Baptist Memorial Healthcare Corporation, IBM Watson Health, and NIH/NIDDK. Deepti Pandita has received travel support from AMIA, has a patent pending with WellPulse app, and is a board member of AMIA. Raghuveer Puttagunta is a board member of Pennsylvania Medical Society. Angela Ryan is a member of AMIA and vice chair of the Australasian Institute of Digital Health. K.M.R. occupies a leadership role with the Society of Hospital Medicine Public Policy Committee. Neda Ratanawongsa occupies a leadership role with the San Francisco General Foundation. K.A.S. has received grants from Meds360 and Anonymous Foundation, honoraria from Stanford, travel support from the Society of Family Planning, and is a volunteer board member of the Society of Family Planning. Vignesh Subbian has received a grant from the National Science Foundation and occupies a leadership role with the AMIA ELSI Working Group. Ida Sim is a scientific advisor with Myovant Sciences. A.S. has received grants from NCATS Chicago Institute for Translational Medicine and PCORI Capricorn CRN, occupies leadership roles with the American Medical Informatics Association and IEEE Standards Association, and owns stock from Pfizer, Moderna, and J.B.S. holds leadership roles in AMIA and in the American College of Medical Informatics (ACMI), has received research funding from NIH and the Greenwall Foundation, and honoraria or consulting fees from the University of Kentucky, the University of Wisconsin, and the Icahn Mount Sinai School of Medicine. Peter Winkelstein has received a grant or contract from CTSA. J.X. has participated on a Data Safety Monitoring Board or Advisory Board with AfaSci, Inc. and Develo. C.Z. has received grants or contracts from CVS Foundation and Ariadne Labs, royalties, or licenses from UpToDate, consulting fees from Blue Cross Blue Shield of Massachusetts, and occupies leadership or fiduciary roles with the American Heart Association, Society for Maternal Fetal Medicine, and ACOG.

Objectives: Mask adherence continues to be a critical public health measure to prevent transmission of aerosol pathogens, such as SARS-CoV-2. We aimed to develop and deploy a computer vision algorithm to provide real-time feedback of mask wearing among staff in a hospital., Design: Single-site, observational cohort study., Setting: An urban, academic hospital in Boston, Massachusetts, USA., Participants: We enrolled adult hospital staff entering the hospital at a key ingress point., Interventions: Consenting participants entering the hospital were invited to experience the computer vision mask detection system. Key aspects of the detection algorithm and feedback were described to participants, who then completed a quantitative assessment to understand their perceptions and acceptance of interacting with the system to detect their mask adherence., Outcome Measures: Primary outcomes were willingness to interact with the mask system, and the degree of comfort participants felt in interacting with a public facing computer vision mask algorithm., Results: One hundred and eleven participants with mean age 40 (SD15.5) were enrolled in the study. Males (47.7%) and females (52.3%) were equally represented, and the majority identified as white (N=54, 49%). Most participants (N=97, 87.3%) reported acceptance of the system and most participants (N=84, 75.7%) were accepting of deployment of the system to reinforce mask adherence in public places. One third of participants (N=36) felt that a public facing computer vision system would be an intrusion into personal privacy.Public-facing computer vision software to detect and provide feedback around mask adherence may be acceptable in the hospital setting. Similar systems may be considered for deployment in locations where mask adherence is important., Competing Interests: Competing interests: GT has a financial interest in Teal Bio, a biotechnology company making transparent and reusable respirators. ABL is a member of the Abbot Medical Device Cybersecurity Council. Complete details of all relationships for profit and not for profit for G.T. can be found at the following link: https://www.dropbox.com/sh/szi7vnr4a2ajb56/AABs5N5i0q9AfT1IqIJAET5a?dl=0. No other authors have competing interests to report., (© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Importance: Adoption of mask wearing in response to the COVID-19 pandemic alters daily communication., Objective: To assess communication barriers associated with mask wearing in patient-clinician interactions and individuals who are deaf and hard of hearing., Design, Setting, and Participants: This pilot cross-sectional survey study included the general population, health care workers, and health care workers who are deaf or hard of hearing in the United States. Volunteers were sampled via an opt-in survey panel and nonrandomized convenience sampling. The general population survey was conducted between January 5 and January 8, 2021. The health care worker surveys were conducted between December 3, 2020, and January 3, 2021. Respondents viewed 2 short videos of a study author wearing both a standard and transparent N95 mask and answered questions regarding mask use, communication, preference, and fit. Surveys took 15 to 20 minutes to complete., Main Outcomes and Measures: Participants' perceptions were assessed surrounding the use of both mask types related to communication and the ability to express emotions., Results: The national survey consisted of 1000 participants (mean [SD] age, 48.7 [18.5] years; 496 [49.6%] women) with a response rate of 92.25%. The survey of general health care workers consisted of 123 participants (mean [SD] age, 49.5 [9.0] years; 84 [68.3%] women), with a response rate of 11.14%. The survey of health care workers who are deaf or hard of hearing consisted of 45 participants (mean [SD] age, 54.5 [9.0] years; 30 [66.7%] women) with a response rate of 23.95%. After viewing a video demonstrating a study author wearing a transparent N95 mask, 781 (78.1%) in the general population, 109 general health care workers (88.6%), and 38 health care workers who are deaf or hard of hearing (84.4%) were able to identify the emotion being expressed, in contrast with 201 (20.1%), 25 (20.5%), and 11 (24.4%) for the standard opaque N95 mask. In the general population, 450 (45.0%) felt positively about interacting with a health care worker wearing a transparent mask; 76 general health care workers (61.8%) and 37 health care workers who are deaf or hard of hearing (82.2%) felt positively about wearing a transparent mask to communicate with patients., Conclusions and Relevance: The findings of this study suggest that transparent masks could help improve communication during the COVID-19 pandemic, particularly for individuals who are deaf and hard of hearing.

Objectives: To compare the impact of respirator extended use and reuse strategies with regard to cost and sustainability during the COVID-19 pandemic., Design: Cost analysis., Setting: USA., Participants: All healthcare workers within the USA., Interventions: Not applicable., Main Outcome Measures: A model was developed to estimate usage, costs and waste incurred by several respirator usage strategies over the first 6 months of the pandemic in the USA. This model assumed universal masking of all healthcare workers. Estimates were taken from the literature, government databases and commercially available data from approved vendors., Results: A new N95 respirator per patient encounter would require 7.41 billion respirators, cost $6.38 billion and generate 84.0 million kg of waste in the USA over 6 months. One respirator per day per healthcare worker would require 3.29 billion respirators, cost $2.83 billion and generate 37.22 million kg of waste. Decontamination by ultraviolet germicidal irradiation would require 1.64 billion respirators, cost $1.41 billion and accumulate 18.61 million kg of waste. H 2 O 2 vapour decontamination would require 1.15 billion respirators, cost $1.65 billion and produce 13.03 million kg of waste. One reusable respirator with daily disposable filters would require 18 million respirators, cost $1.24 billion and generate 15.73 million kg of waste. Pairing a reusable respirator with H 2 O 2 vapour-decontaminated filters would reduce cost to $831 million and generate 1.58 million kg of waste. The use of one surgical mask per healthcare worker per day would require 3.29 billion masks, cost $460 million and generate 27.92 million kg of waste., Conclusions: Decontamination and reusable respirator-based strategies decreased the number of respirators used, costs and waste generated compared with single-use or daily extended-use of disposable respirators. Future development of low-cost,simple technologies to enable respirator and/or filter decontamination is needed to further minimise the economic and environmental costs of masks., Competing Interests: Competing interests: AW, JB and GT have filed multiple patent applications surrounding a reusable respirator and sensors that can be integrated into a respirator. In addition, AW, JB and GT have a financial interest in TEAL Bio, Inc., a biotechnology company focused on developing the next generation of personal protective equipment., (© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)