Serveur d'exploration sur le Covid à Stanford

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An evidence review of face masks against COVID-19.

Identifieur interne : 000108 ( Main/Exploration ); précédent : 000107; suivant : 000109

An evidence review of face masks against COVID-19.

Auteurs : Jeremy Howard [États-Unis] ; Austin Huang [États-Unis] ; Zhiyuan Li [République populaire de Chine] ; Zeynep Tufekci [États-Unis] ; Vladimir Zdimal [République tchèque] ; Helene-Mari Van Der Westhuizen [Royaume-Uni, Afrique du Sud] ; Arne Von Delft [Afrique du Sud] ; Amy Price [États-Unis] ; Lex Fridman [États-Unis] ; Lei-Han Tang [République populaire de Chine] ; Viola Tang [République populaire de Chine] ; Gregory L. Watson [États-Unis] ; Christina E. Bax [États-Unis] ; Reshama Shaikh [États-Unis] ; Frederik Questier [Belgique] ; Danny Hernandez [États-Unis] ; Larry F. Chu [États-Unis] ; Christina M. Ramirez [États-Unis] ; Anne W. Rimoin [États-Unis]

Source :

RBID : pubmed:33431650

Descripteurs français

English descriptors

Abstract

The science around the use of masks by the public to impede COVID-19 transmission is advancing rapidly. In this narrative review, we develop an analytical framework to examine mask usage, synthesizing the relevant literature to inform multiple areas: population impact, transmission characteristics, source control, wearer protection, sociological considerations, and implementation considerations. A primary route of transmission of COVID-19 is via respiratory particles, and it is known to be transmissible from presymptomatic, paucisymptomatic, and asymptomatic individuals. Reducing disease spread requires two things: limiting contacts of infected individuals via physical distancing and other measures and reducing the transmission probability per contact. The preponderance of evidence indicates that mask wearing reduces transmissibility per contact by reducing transmission of infected respiratory particles in both laboratory and clinical contexts. Public mask wearing is most effective at reducing spread of the virus when compliance is high. Given the current shortages of medical masks, we recommend the adoption of public cloth mask wearing, as an effective form of source control, in conjunction with existing hygiene, distancing, and contact tracing strategies. Because many respiratory particles become smaller due to evaporation, we recommend increasing focus on a previously overlooked aspect of mask usage: mask wearing by infectious people ("source control") with benefits at the population level, rather than only mask wearing by susceptible people, such as health care workers, with focus on individual outcomes. We recommend that public officials and governments strongly encourage the use of widespread face masks in public, including the use of appropriate regulation.

DOI: 10.1073/pnas.2014564118
PubMed: 33431650


Affiliations:


Links toward previous steps (curation, corpus...)


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<div type="abstract" xml:lang="en">The science around the use of masks by the public to impede COVID-19 transmission is advancing rapidly. In this narrative review, we develop an analytical framework to examine mask usage, synthesizing the relevant literature to inform multiple areas: population impact, transmission characteristics, source control, wearer protection, sociological considerations, and implementation considerations. A primary route of transmission of COVID-19 is via respiratory particles, and it is known to be transmissible from presymptomatic, paucisymptomatic, and asymptomatic individuals. Reducing disease spread requires two things: limiting contacts of infected individuals via physical distancing and other measures and reducing the transmission probability per contact. The preponderance of evidence indicates that mask wearing reduces transmissibility per contact by reducing transmission of infected respiratory particles in both laboratory and clinical contexts. Public mask wearing is most effective at reducing spread of the virus when compliance is high. Given the current shortages of medical masks, we recommend the adoption of public cloth mask wearing, as an effective form of source control, in conjunction with existing hygiene, distancing, and contact tracing strategies. Because many respiratory particles become smaller due to evaporation, we recommend increasing focus on a previously overlooked aspect of mask usage: mask wearing by infectious people ("source control") with benefits at the population level, rather than only mask wearing by susceptible people, such as health care workers, with focus on individual outcomes. We recommend that public officials and governments strongly encourage the use of widespread face masks in public, including the use of appropriate regulation.</div>
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<AbstractText>The science around the use of masks by the public to impede COVID-19 transmission is advancing rapidly. In this narrative review, we develop an analytical framework to examine mask usage, synthesizing the relevant literature to inform multiple areas: population impact, transmission characteristics, source control, wearer protection, sociological considerations, and implementation considerations. A primary route of transmission of COVID-19 is via respiratory particles, and it is known to be transmissible from presymptomatic, paucisymptomatic, and asymptomatic individuals. Reducing disease spread requires two things: limiting contacts of infected individuals via physical distancing and other measures and reducing the transmission probability per contact. The preponderance of evidence indicates that mask wearing reduces transmissibility per contact by reducing transmission of infected respiratory particles in both laboratory and clinical contexts. Public mask wearing is most effective at reducing spread of the virus when compliance is high. Given the current shortages of medical masks, we recommend the adoption of public cloth mask wearing, as an effective form of source control, in conjunction with existing hygiene, distancing, and contact tracing strategies. Because many respiratory particles become smaller due to evaporation, we recommend increasing focus on a previously overlooked aspect of mask usage: mask wearing by infectious people ("source control") with benefits at the population level, rather than only mask wearing by susceptible people, such as health care workers, with focus on individual outcomes. We recommend that public officials and governments strongly encourage the use of widespread face masks in public, including the use of appropriate regulation.</AbstractText>
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<ReferenceList>
<Reference>
<Citation>Wang Q., Yu C.. Letter to editor: Role of masks/respirator protection against 2019-novel coronavirus (COVID-19). Infect. Contr. Hosp. Epidemiol.. 2020;1:1–7.</Citation>
</Reference>
<Reference>
<Citation>Feng S., et al. Rational use of face masks in the COVID-19 pandemic. Lancet Respir. Med.. 2020;8:434–436.</Citation>
</Reference>
<Reference>
<Citation>Goh L. G., Ho T., Phua K. H.. Wisdom and western science: The work of Dr Wu Lien-Teh. Asia Pac. J. Publ. Health. 1987;1:99–109.</Citation>
</Reference>
<Reference>
<Citation>Wu L. T.. A Treatise on Pneumonic Plague.</Citation>
</Reference>
<Reference>
<Citation>Cowling B. J., et al. Impact assessment of non-pharmaceutical interventions against coronavirus disease 2019 and influenza in Hong Kong: An observational study. Lancet Public Health. 2020;5:E279–E288.</Citation>
</Reference>
<Reference>
<Citation>.</Citation>
</Reference>
<Reference>
<Citation>Higgins J. P., et al. Cochrane Handbook for Systematic Reviews of Interventions. 2019.</Citation>
</Reference>
<Reference>
<Citation>World Health Organization. Handbook for Guideline Development. 2010.</Citation>
</Reference>
<Reference>
<Citation>Greenhalgh T.. Face coverings for the public: Laying straw men to rest. J. Eval. Clin. Pract.. 2020;1:e13415.</Citation>
</Reference>
<Reference>
<Citation>Wang Y., et al. Reduction of secondary transmission of SARS-CoV-2 in households by face mask use, disinfection and social distancing: A cohort study in Beijing, China. BMJ Global Health. 2020;5:e002794.</Citation>
</Reference>
<Reference>
<Citation>Chu D. K., et al. Physical distancing, face masks, and eye protection to prevent person-to-person transmission of SARS-CoV-2 and COVID-19: A systematic review and meta-analysis. Lancet. 2020;395:P1973–P1987.</Citation>
</Reference>
<Reference>
<Citation>Tuan P., et al. SARS transmission in Vietnam outside of the health-care setting. Epidemiol. Infect.. 2007;135:392–401.</Citation>
</Reference>
<Reference>
<Citation>Wu J., et al. Risk factors for SARS among persons without known contact with SARS patients, Beijing, China. Emerg. Infect. Dis.. 2004;10:210–216.</Citation>
</Reference>
<Reference>
<Citation>MacIntyre C. R., et al. The first randomized, controlled clinical trial of mask use in households to prevent respiratory virus transmission. Int. J. Infect. Dis.. 2008;12:e328.</Citation>
</Reference>
<Reference>
<Citation>Jefferson T., et al. Physical interventions to interrupt or reduce the spread of respiratory viruses. Cochrane Database Syst. Rev.. 2011;7:CD006207.</Citation>
</Reference>
<Reference>
<Citation>Jefferson T., et al.</Citation>
</Reference>
<Reference>
<Citation>MacIntyre C. R., Chughtai A. A.. A rapid systematic review of the efficacy of face masks and respirators against coronaviruses and other respiratory transmissible viruses for the community, healthcare workers and sick patients. Int. J. Nurs. Stud.. 2020;1:103629.</Citation>
</Reference>
<Reference>
<Citation>The University of Edinburgh Usher Institute.</Citation>
</Reference>
<Reference>
<Citation>GUPTA M., Gupta K., Gupta S.. The use of facemasks by the general population to prevent transmission of Covid 19 infection: A systematic review.</Citation>
</Reference>
<Reference>
<Citation>Brainard J. S., Jones N., Lake I., Hooper L., Hunter P.. Facemasks and similar barriers to prevent respiratory illness such as COVID-19: A rapid systematic review.</Citation>
</Reference>
<Reference>
<Citation>Suess T., et al. The role of facemasks and hand hygiene in the prevention of influenza transmission in households: Results from a cluster randomised trial; Berlin, Germany, 2009–2011. BMC Infect. Dis.. 2012;12:26.</Citation>
</Reference>
<Reference>
<Citation>Cowling B. J., et al. Facemasks and hand hygiene to prevent influenza transmission in households: A cluster randomized trial. Ann. Intern. Med.. 2009;151:437–446.</Citation>
</Reference>
<Reference>
<Citation>Aiello A. E., et al. Mask use, hand hygiene, and seasonal influenza-like illness among young adults: A randomized intervention trial. J. Infect. Dis.. 2010;201:491–498.</Citation>
</Reference>
<Reference>
<Citation>Aiello A. E., et al. Facemasks, hand hygiene, and influenza among young adults: A randomized intervention trial. PloS One. 2012;7:e29744.</Citation>
</Reference>
<Reference>
<Citation>MacIntyre C. R., et al. A cluster randomised trial of cloth masks compared with medical masks in healthcare workers. BMJ Open. 2015;5:e006577.</Citation>
</Reference>
<Reference>
<Citation>Ogilvie D., et al. Using natural experimental studies to guide public health action: Turning the evidence-based medicine paradigm on its head. J. Epidemiol. Community Health. 2020;74:203–208.</Citation>
</Reference>
<Reference>
<Citation>Greenhalgh T., Thorne S., Malterud K.. Time to challenge the spurious hierarchy of systematic over narrative reviews?. Eur. J. Clin. Invest.. 2018;48:e12931.</Citation>
</Reference>
<Reference>
<Citation>World Commission on the Ethics of Scientific Knowledge and Technology. The Precautionary Principle. 2005.</Citation>
</Reference>
<Reference>
<Citation>Leffler C. T., et al. Association of country-wide coronavirus mortality with demographics, testing, lockdowns, and public wearing of masks. Am. J. Trop. Med. Hyg.. 2020;103:2400–2411.</Citation>
</Reference>
<Reference>
<Citation>Kenyon C.. Widespread use of face masks in public may slow the spread of SARS CoV-2: An ecological study.</Citation>
</Reference>
<Reference>
<Citation>Lyu W., Wehby G. L.. Community use of face masks and COVID-19: Evidence from a natural experiment of state mandates in the US. Health Aff.. 2020;39:1419–1425.</Citation>
</Reference>
<Reference>
<Citation>Hatzius J., Struyven D., Rosenbery I.. Face masks and GDP.</Citation>
</Reference>
<Reference>
<Citation>Wong S. H., et al. COVID-19 and public interest in face mask use. Am. J. Respir. Crit. Care Med.. 2020;202:453–455.</Citation>
</Reference>
<Reference>
<Citation>Abaluck J., et al.</Citation>
</Reference>
<Reference>
<Citation>Cheng V. C., et al. The role of community-wide wearing of face mask for control of coronavirus disease 2019 (COVID-19) epidemic due to SARS-CoV-2. J. Infect.. 2020;81:107–114.</Citation>
</Reference>
<Reference>
<Citation>He W., Yi G. Y., Zhu Y.. Estimation of the basic reproduction number, average incubation time, asymptomatic infection rate, and case fatality rate for COVID-19: Meta-analysis and sensitivity analysis. J. Med. Virol.. 2020;92:2543–2550.</Citation>
</Reference>
<Reference>
<Citation>Stutt R. O., Retkute R., Bradley M., Gilligan C. A., Colvin J.. A modeling framework to assess the likely effectiveness of facemasks in combination with ‘lock-down’in managing the COVID-19 pandemic. Proc. R. Soc. Lond. A. 2020;476:20200376.</Citation>
</Reference>
<Reference>
<Citation>Kai D., Goldstein G. P., Morgunov A., Nangalia V., Rotkirch A..</Citation>
</Reference>
<Reference>
<Citation>Tian L., et al.</Citation>
</Reference>
<Reference>
<Citation>Ferguson N., et al.</Citation>
</Reference>
<Reference>
<Citation>Ngonghala C. N., et al. Mathematical assessment of the impact of non-pharmaceutical interventions on curtailing the 2019 novel coronavirus. Math. Biosci.. 2020;1:108364.</Citation>
</Reference>
<Reference>
<Citation>Yan J., Guha S., Hariharan P., Myers M.. Modeling the effectiveness of respiratory protective devices in reducing influenza outbreak. Risk Anal.. 2019;39:647–661.</Citation>
</Reference>
<Reference>
<Citation>Fisman D. N., Greer A. L., Tuite A. R.. Brief research report: Bidirectional impact of imperfect mask use on reproduction number of COVID-19: A next generation matrix approach. Infect. Dis. Model.. 2020;5:405–408.</Citation>
</Reference>
<Reference>
<Citation>Lauer S. A., et al. The incubation period of coronavirus disease 2019 (COVID-19) from publicly reported confirmed cases: Estimation and application. Ann. Intern. Med.. 2020;172:577–582.</Citation>
</Reference>
<Reference>
<Citation>To K. K. W., et al. Temporal profiles of viral load in posterior oropharyngeal saliva samples and serum antibody responses during infection by SARS-CoV-2: An observational cohort study. Lancet Infect. Dis.. 2020;20:P565–P574.</Citation>
</Reference>
<Reference>
<Citation>Zou L., et al. SARS-CoV-2 viral load in upper respiratory specimens of infected patients. N. Engl. J. Med.. 2020;382:1177–1179.</Citation>
</Reference>
<Reference>
<Citation>Wölfel R., et al. Virological assessment of hospitalized patients with COVID-2019. Nature. 2020;581:465–469.</Citation>
</Reference>
<Reference>
<Citation>Oran D. P., Topol E. J.. Prevalence of asymptomatic SARS-CoV-2 infection: A narrative review. Ann. Intern. Med.. 2020;173:363–367.</Citation>
</Reference>
<Reference>
<Citation>Jones T. C., et al.</Citation>
</Reference>
<Reference>
<Citation>Han M., et al. Viral RNA load in mildly symptomatic and asymptomatic children with COVID-19, Seoul. Emerg. Infect. Dis.. 2020;26:2497–2499.</Citation>
</Reference>
<Reference>
<Citation>Bourouiba L.. Turbulent gas clouds and respiratory pathogen emissions: Potential implications for reducing transmission of COVID-19. J. Am. Med. Assoc.. 2020;323:1837–1838.</Citation>
</Reference>
<Reference>
<Citation>Milton D. K.. A Rosetta Stone for understanding infectious drops and aerosols. J. Pediatric. Infect. Dis. Soc.. 2020;9:413–415.</Citation>
</Reference>
<Reference>
<Citation>Asadi S., et al. Aerosol emission and superemission during human speech increase with voice loudness. Sci. Rep.. 2019;9:2348.</Citation>
</Reference>
<Reference>
<Citation>Stadnytskyi V., Bax C. E., Bax A., Anfinrud P.. The airborne lifetime of small speech droplets and their potential importance in SARS-CoV-2 transmission. Proc. Natl. Acad. Sci. U.S.A.. 2020;117:11875–11877.</Citation>
</Reference>
<Reference>
<Citation>Wells W.. On air-borne infection: Study II. Droplets and droplet nuclei. Am. J. Epidemiol.. 1934;20:611–618.</Citation>
</Reference>
<Reference>
<Citation>Papineni R. S., Rosenthal F. S.. The size distribution of droplets in the exhaled breath of healthy human subjects. J. Aerosol Med.. 1997;10:105–116.</Citation>
</Reference>
<Reference>
<Citation>Duguid J.. The size and the duration of air-carriage of respiratory droplets and droplet-nuclei. Epidemiol. Infect.. 1946;44:471–479.</Citation>
</Reference>
<Reference>
<Citation>Morawska L., et al. Size distribution and sites of origin of droplets expelled from the human respiratory tract during expiratory activities. J. Aerosol Sci.. 2009;40:256–269.</Citation>
</Reference>
<Reference>
<Citation>Anfinrud P., Stadnytskyi V., Bax C. E., Bax A.. Visualizing speech-generated oral fluid droplets with laser light scattering. N. Engl. J. Med.. 2020;382:2061–2063.</Citation>
</Reference>
<Reference>
<Citation>Vuorinen V., et al. Modeling aerosol transport and virus exposure with numerical simulations in relation to SARS-CoV-2 transmission by inhalation indoors. Saf. Sci.. 2020;130:104866.</Citation>
</Reference>
<Reference>
<Citation>Prather K. A., Wang C. C., Schooley R. T.. Reducing transmission of SARS-CoV-2. Science. 2020;368:1422–1424.</Citation>
</Reference>
<Reference>
<Citation>Gralton J., Tovey E., McLaws M. L., Rawlinson W. D.. The role of particle size in aerosolized pathogen transmission: A review. J. Infect.. 2011;62:1–13.</Citation>
</Reference>
<Reference>
<Citation>Atkinson M. P., Wein L. M.. Quantifying the routes of transmission for pandemic influenza. Bull. Math. Biol.. 2008;70:820–867.</Citation>
</Reference>
<Reference>
<Citation>Ma J., et al.</Citation>
</Reference>
<Reference>
<Citation>Yan J., et al. Infectious virus in exhaled breath of symptomatic seasonal influenza cases from a college community. Proc. Natl. Acad. Sci. U.S.A.. 2018;115:1081–1086.</Citation>
</Reference>
<Reference>
<Citation>Brosseau L., et al.</Citation>
</Reference>
<Reference>
<Citation>Leung N. H., et al. Respiratory virus shedding in exhaled breath and efficacy of face masks. Nat. Med.. 2020;26:676–680.</Citation>
</Reference>
<Reference>
<Citation>Greene V., Vesley D.. Method for evaluating effectiveness of surgical masks. J. Bacteriol.. 1962;83:663–667.</Citation>
</Reference>
<Reference>
<Citation>Quesnel L. B.. The efficiency of surgical masks of varying design and composition. Br. J. Surg.. 1975;62:936–940.</Citation>
</Reference>
<Reference>
<Citation>Johnson D. F., Druce J. D., Birch C., Grayson M. L.. A quantitative assessment of the efficacy of surgical and N95 masks to filter influenza virus in patients with acute influenza infection. Clin. Infect. Dis.. 2009;49:275–277.</Citation>
</Reference>
<Reference>
<Citation>Milton D. K., Fabian M. P., Cowling B. J., Grantham M. L., McDevitt J. J.. Influenza virus aerosols in human exhaled breath: Particle size, culturability, and effect of surgical masks. PLoS Pathog.. 2013;9:e1003205.</Citation>
</Reference>
<Reference>
<Citation>Vanden Driessche K., et al. Surgical masks reduce airborne spread of Pseudomonas aeruginosa in colonized patients with cystic fibrosis. Am. J. Respir. Crit. Care Med.. 2015;192:897–899.</Citation>
</Reference>
<Reference>
<Citation>Wood M. E., et al. Face masks and cough etiquette reduce the cough aerosol concentration of Pseudomonas aeruginosa in people with cystic fibrosis. Am. J. Respir. Crit. Care Med.. 2018;197:348–355.</Citation>
</Reference>
<Reference>
<Citation>Stockwell R. E., et al. Face masks reduce the release of Pseudomonas aeruginosa cough aerosols when worn for clinically relevant periods. Am. J. Respir. Crit. Care Med.. 2018;198:1339–1342.</Citation>
</Reference>
<Reference>
<Citation>Dharmadhikari A. S., et al. Surgical face masks worn by patients with multidrug-resistant tuberculosis: Impact on infectivity of air on a hospital ward. Am. J. Respir. Crit. Care Med.. 2012;185:1104–1109.</Citation>
</Reference>
<Reference>
<Citation>Chan J. F. W., et al. Surgical mask partition reduces the risk of non-contact transmission in a golden Syrian hamster model for Coronavirus Disease 2019 (COVID-19). Clin. Infect. Dis.. 2020;71:2139–2149.</Citation>
</Reference>
<Reference>
<Citation>Davies A., et al. Testing the efficacy of homemade masks: Would they protect in an influenza pandemic?. Disaster Med. Public Health Prep.. 2013;7:413–418.</Citation>
</Reference>
<Reference>
<Citation>van der Sande M., Teunis P., Sabel R.. Professional and home-made face masks reduce exposure to respiratory infections among the general population. PloS One. 2008;3:e2618.</Citation>
</Reference>
<Reference>
<Citation>Viola I., et al.</Citation>
</Reference>
<Reference>
<Citation>Kumar V., et al.</Citation>
</Reference>
<Reference>
<Citation>Verma S., Dhanak M., Frankenfield J.. Visualizing the effectiveness of face masks in obstructing respiratory jets. Phys. Fluids. 2020;32:061708.</Citation>
</Reference>
<Reference>
<Citation>Centers for Disease Control and Prevention. How coronavirus spreads.</Citation>
</Reference>
<Reference>
<Citation>Goldman E.. Exaggerated risk of transmission of COVID-19 by fomites. Lancet Infect. Dis.. 2020;20:892–893.</Citation>
</Reference>
<Reference>
<Citation>Ippolito M., Iozzo P., Gregoretti C., Grasselli G., Cortegiani A.. Facepiece filtering respirators with exhalation valve should not be used in the community to limit SARS-CoV-2 diffusion. Infect. Contr. Hosp. Epidemiol.. 2020;15:1–2.</Citation>
</Reference>
<Reference>
<Citation>National Institute for Occupational Safety and Health.</Citation>
</Reference>
<Reference>
<Citation>Jung H., et al. Comparison of filtration efficiency and pressure drop in anti-yellow sand masks, quarantine masks, medical masks, general masks, and handkerchiefs. Aerosol. Air. Qual. Res.. 2013;14:991–1002.</Citation>
</Reference>
<Reference>
<Citation>World Health Organization.</Citation>
</Reference>
<Reference>
<Citation>Zhao M., et al. Household materials selection for homemade cloth face coverings and their filtration efficiency enhancement with triboelectric charging. Nano Lett.. 2020;20:5544–5552.</Citation>
</Reference>
<Reference>
<Citation>Konda A., et al. Aerosol filtration efficiency of common fabrics used in respiratory cloth masks. ACS Nano. 2020;14:6339–6347.</Citation>
</Reference>
<Reference>
<Citation>Dato V. M., Hostler D., Hahn M. E.. Simple respiratory mask. Emerg. Infect. Dis.. 2006;12:1033–1034.</Citation>
</Reference>
<Reference>
<Citation>Runde D. P., et al.</Citation>
</Reference>
<Reference>
<Citation>Wilkes A. R., Benbough J. E., Speight S. E., Harmer M.. The bacterial and viral filtration performance of breathing system filters. Anaesthesia. 2000;55:458–465.</Citation>
</Reference>
<Reference>
<Citation>Long Y., et al. Effectiveness of N95 respirators versus surgical masks against influenza: A systematic review and meta-analysis. J. Evid. Base Med.. 2020;13:93–101.</Citation>
</Reference>
<Reference>
<Citation>Radonovich L. J., et al. N95 respirators vs medical masks for preventing influenza among health care personnel: A randomized clinical trial. J. Am. Med. Assoc.. 2019;322:824–833.</Citation>
</Reference>
<Reference>
<Citation>Bean B., et al. Survival of influenza viruses on environmental surfaces. J. Infect. Dis.. 1982;146:47–51.</Citation>
</Reference>
<Reference>
<Citation>Brosseau L. M., Sietsema M..</Citation>
</Reference>
<Reference>
<Citation>Cassell M. M., Halperin D. T., Shelton J. D., Stanton D.. Risk compensation: The Achilles’ heel of innovations in HIV prevention?. BMJ. 2006;332:605–607.</Citation>
</Reference>
<Reference>
<Citation>Rojas Castro D., Delabre R. M., Molina J. M.. Give prep a chance: Moving on from the “risk compensation” concept. J. Int. AIDS Soc.. 2019;22:e25351.</Citation>
</Reference>
<Reference>
<Citation>Ouellet J. V.. Helmet use and risk compensation in motorcycle accidents. Traffic Inj. Prev.. 2011;12:71–81.</Citation>
</Reference>
<Reference>
<Citation>Houston D. J., Richardson L. E.. Risk compensation or risk reduction? Seatbelts, state laws, and traffic fatalities. Soc. Sci. Q.. 2007;88:913–936.</Citation>
</Reference>
<Reference>
<Citation>Scott M. D., et al. Testing the risk compensation hypothesis for safety helmets in alpine skiing and snowboarding. Inj. Prev.. 2007;13:173–177.</Citation>
</Reference>
<Reference>
<Citation>Peng Y., et al. Universal motorcycle helmet laws to reduce injuries: A community guide systematic review. Am. J. Prev. Med.. 2017;52:820–832.</Citation>
</Reference>
<Reference>
<Citation>Ruedl G., Kopp M., Burtscher M.. Does risk compensation undo the protection of ski helmet use?. Epidemiology. 2012;23:936–937.</Citation>
</Reference>
<Reference>
<Citation>Pless B.. Risk compensation: Revisited and rebutted. Safety. 2016;2:16.</Citation>
</Reference>
<Reference>
<Citation>Burgess A., Horii M.. Risk, ritual and health responsibilisation: Japan’s ‘safety blanket’of surgical face mask-wearing. Sociol. Health Illness. 2012;34:1184–1198.</Citation>
</Reference>
<Reference>
<Citation>Betsch C., et al. Social and behavioral consequences of mask policies during the COVID-19 pandemic. Proc. Natl. Acad. Sci. U.S.A.. 2020;117:21851–21853.</Citation>
</Reference>
<Reference>
<Citation>Imperial College London.</Citation>
</Reference>
<Reference>
<Citation>Chen Y. J., et al. Comparison of face-touching behaviors before and during the coronavirus disease 2019 pandemic. JAMA Netw. Open. 2020;3:e2016924.</Citation>
</Reference>
<Reference>
<Citation>Seres G., et al.</Citation>
</Reference>
<Reference>
<Citation>Marchiori M..</Citation>
</Reference>
<Reference>
<Citation>Seres G., Balleyer A. H., Cerutti N., Friedrichsen J., Süer M..</Citation>
</Reference>
<Reference>
<Citation>Joachim G., Acorn S.. Stigma of visible and invisible chronic conditions. J. Adv. Nurs.. 2000;32:243–248.</Citation>
</Reference>
<Reference>
<Citation>Abney K.. “Containing” tuberculosis, perpetuating stigma: The materiality of N95 respirator masks. Anthropology Southern Africa. 2018;41:270–283.</Citation>
</Reference>
<Reference>
<Citation>Buregyeya E., et al. Acceptability of masking and patient separation to control nosocomial tuberculosis in Uganda: A qualitative study. J. Public Health. 2012;20:599–606.</Citation>
</Reference>
<Reference>
<Citation>Li D. K., Abdelkader R..</Citation>
</Reference>
<Reference>
<Citation>Pager D., Shepherd H.. The sociology of discrimination: Racial discrimination in employment, housing, credit, and consumer markets. Annu. Rev. Sociol.. 2008;34:181–209.</Citation>
</Reference>
<Reference>
<Citation>Fernando Alfonso C. III.</Citation>
</Reference>
<Reference>
<Citation>Jan T.. Two black men say they were kicked out of Walmart for wearing protective masks. Others worry it will happen to them.</Citation>
</Reference>
<Reference>
<Citation>Watson-Jones R. E., Legare C. H.. The social functions of group rituals. Curr. Dir. Psychol. Sci.. 2016;25:42–46.</Citation>
</Reference>
<Reference>
<Citation>BliegeBird R., et al. Signaling theory, strategic interaction, and symbolic capital. Curr. Anthropol.. 2005;46:221–248.</Citation>
</Reference>
<Reference>
<Citation>Van Houten R., Malenfant L., Huitema B., Blomberg R.. Effects of high-visibility enforcement on driver compliance with pedestrian yield right-of-way laws. Transport. Res. Rec.. 2013;2393:41–49.</Citation>
</Reference>
<Reference>
<Citation>Van Damme W., Van Lerberghe W.. Editorial: Epidemics and fear. Trop. Med. Int. Health. 2000;5:511–514.</Citation>
</Reference>
<Reference>
<Citation>Riva M. A., Benedetti M., Cesana G.. Pandemic fear and literature: Observations from Jack London’s The Scarlet Plague. Emerg. Infect. Dis.. 2014;20:1753–1757.</Citation>
</Reference>
<Reference>
<Citation>Taal E., Rasker J. J., Seydel E. R., Wiegman O.. Health status, adherence with health recommendations, self-efficacy and social support in patients with rheumatoid arthritis. Patient Educ. Counsel.. 1993;20:63–76.</Citation>
</Reference>
<Reference>
<Citation>Illingworth P., Parmet W. E.. Solidarity and health: A public goods justification. Diametros. 2015;43:65–71.</Citation>
</Reference>
<Reference>
<Citation>Chen L. C., Evans T. G., Cash R. A., et al. Health as a global public good. Global Public Goods. 1999;1:284–304.</Citation>
</Reference>
<Reference>
<Citation>Cheng K. K., Lam T. H., Leung C. C.. Wearing face masks in the community during the COVID-19 pandemic: Altruism and solidarity. Lancet. 2020;6736:30918-1.</Citation>
</Reference>
<Reference>
<Citation>Van Der Westhuizen H. M., Kotze K., Tonkin-crine S., Gobat N., Greenhalgh T.. Face coverings for COVID-19: From medical intervention to social practice. BMJ. 2020;19:m3021.</Citation>
</Reference>
<Reference>
<Citation>The Lancet. COVID-19: Protecting health-care workers. Lancet. 2020;395:922.</Citation>
</Reference>
<Reference>
<Citation>Bartoszko J. J., Farooqi M. A. M., Alhazzani W., Loeb M.. Medical masks vs N95 respirators for preventing COVID-19 in health care workers: A systematic review and meta-analysis of randomized trials. Influenza Other Respiratory Viruses. 2020;14:365–373.</Citation>
</Reference>
<Reference>
<Citation>de Man P., et al. Sterilization of disposable face masks by means of standardized dry and steam sterilization processes: An alternative in the fight against mask shortages due to COVID-19. J Hosp Infect.. 2020;105:356–357.</Citation>
</Reference>
<Reference>
<Citation>Perencevich E. N., Diekema D. J., Edmond M. B.. Moving personal protective equipment into the community: Face shields and containment of COVID-19. J. Am. Med. Assoc.. 2020;323:2252–2253.</Citation>
</Reference>
<Reference>
<Citation>Larson E. L., et al. Impact of non-pharmaceutical interventions on URIs and influenza in crowded, urban households. Publ. Health Rep.. 2010;125:178–191.</Citation>
</Reference>
<Reference>
<Citation>Leung G. M., et al. A tale of two cities: Community psychobehavioral surveillance and related impact on outbreak control in Hong Kong and Singapore during the severe acute respiratory syndrome epidemic. Infect. Contr. Hosp. Epidemiol.. 2004;25:1033–1041.</Citation>
</Reference>
<Reference>
<Citation>Cowling B. J., et al. Community psychological and behavioral responses through the first wave of the 2009 influenza A (H1N1) pandemic in Hong Kong. J. Infect. Dis.. 2010;202:867–876.</Citation>
</Reference>
<Reference>
<Citation>Bradford W. D., Mandich A.. Some state vaccination laws contribute to greater exemption rates and disease outbreaks in the United States. Health Aff.. 2015;34:1383–1390.</Citation>
</Reference>
<Reference>
<Citation>Chughtai A. A., et al. Contamination by respiratory viruses on outer surface of medical masks used by hospital healthcare workers. BMC Infect. Dis.. 2019;19:491.</Citation>
</Reference>
<Reference>
<Citation>Kwong K..</Citation>
</Reference>
<Reference>
<Citation>Consumer Council Hong Kong.</Citation>
</Reference>
<Reference>
<Citation>Akduman C.. Cellulose acetate and polyvinylidene fluoride nanofiber mats for N95 respirators. J. Ind. Textil..</Citation>
<ArticleIdList>
<ArticleId IdType="doi">10.1177/1528083719858760</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>van Doremalen N., et al. Aerosol and surface stability of SARS-CoV-2 as compared with SARS-CoV-1. N. Engl. J. Med.. 2020;382:1564–1567.</Citation>
</Reference>
</ReferenceList>
</PubmedData>
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