Literature DB >> 33303063

Face masks and COVID-19: don't let perfect be the enemy of good.

Benjamin J Cowling1,2, Gabriel M Leung1,2.   

Abstract

Entities:  

Keywords:  Covid-19; face mask

Mesh:

Year:  2020        PMID: 33303063      PMCID: PMC7730488          DOI: 10.2807/1560-7917.ES.2020.25.49.2001998

Source DB:  PubMed          Journal:  Euro Surveill        ISSN: 1025-496X


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Whether to don face masks or facial coverings to prevent community spread of coronavirus disease 2019 (COVID-19) has perhaps been one of the most argued and divisive issues, initially between East Asia and the West and later within western countries. Even the World Health Organization (WHO) had prevaricated on the issue during the initial months of the pandemic until it advised governments to ‘encourage the general public to wear masks in specific situations and settings as part of a comprehensive approach to suppress COVID-19 transmission’ in guidance issued in June 2020 [1]. To assess the appropriateness of masks as an intervention measure, it is important to first understand the aerobiology and modes of transmission of COVID-19. There is general agreement that transmission risk is increased with prolonged close contact. The question concerning longer-range aerosol transmission remains a subject of strong debate. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA detection in aerosols has been reported in some retrospective case reviews [2,3] and viable virus could be detected in laboratory experiments [4] and patient settings [5] as well as anecdotal reports such as a reported restaurant outbreak [6]. While definitive proof of aerosol transmission remains elusive, prominent scientists have advocated a precautionary approach to mitigate the risks of aerosol spread, noting in particular that the risk of aerosol transmission would be greatest at short range [7,8]. Widespread use of face masks may reduce community transmission in two ways. First, through source control, since masks worn by persons who are infected and contagious can effectively reduce viral dissemination into the environment [9,10]. This can be particularly important in the context of pre-symptomatic transmission of COVID-19 [11,12]. Second, face masks can have an impact through protection of uninfected persons, since masks can effectively filter virus-laden particles from the air breathed in [13-15]. However, there are also caveats. Masks will not be worn 100% of the time – they will not generally be worn in households or in some social settings, and they will not be worn while eating. In addition, even when masks are worn, they should reduce the risk of transmission but they may not completely eliminate transmission. While most research on face masks has involved surgical type face masks, it should be presumed that reusable cloth masks could provide similar benefits if they have a sufficient number of layers and preferably a filter. While there is mechanistic support for the effectiveness of face masks from laboratory-based studies, evidence from real-life studies can confirm whether mask policies could have an impact on community transmission. The highest quality of scientific evidence on the real-life efficacy or effectiveness of an intervention is provided by randomised controlled trials. A number of randomised trials of face masks have been done to prevent transmission of respiratory virus infections. For example, the 2019 WHO guidance on non-pharmaceutical interventions cited evidence from 14 randomised controlled trials that did not support a statistically significant effect on transmission of laboratory-confirmed influenza [16]. However, in that guidance, mechanistic evidence of the effectiveness of face masks was used as a basis for a recommendation for widespread mask use in the community in influenza epidemics/pandemics of high or extraordinarily high severity [16]. In this issue of Eurosurveillance, Brainard et al. reviewed 12 randomised trials and 21 observational studies of the effectiveness of face mask use against respiratory virus transmission [17]. The meta-analysis of randomised trials has similar findings to a number of earlier Cochrane reviews [18-21] and published systematic reviews and meta-analyses [22-37], namely that face mask interventions could probably reduce transmission by a small margin but not a large margin in the community. Brainard et al. estimate that masks reduce the risk of infection by around 6% to 15% [17]. While randomised trials typically provide the highest quality of evidence on interventions, limitations of trials in face masks have included the lack of blinding, and adherence with the intervention leading to effect dilution. It should be noted that widespread use of face masks in an epidemic will have greater community benefit through reducing contagiousness of infected persons in addition to protecting susceptible wearers. One recent study from Germany reports a 45% reduction in transmission through face mask use [38], although this study might have overestimated the impact of masks if other public health measures and behavioural changes occurred simultaneously. There is evidence that universal wearing of face masks has not been sufficient to control COVID-19 transmission and additional public health measures are required. For example, Hong Kong has experienced multiple community epidemics of COVID-19 despite universal face mask use since January 2020 [39]. That said, most large clusters accounting for a substantial proportion of the total case burden have occurred in places where masks are not worn, such as bars, restaurants, gyms, elderly homes and workers’ dormitories [40], while within-household transmission is also a major contributor to overall case numbers. While most face mask trials have aimed to prevent influenza virus or any respiratory virus transmission, the Danish Study to Assess Face Masks for the Protection Against COVID-19 Infection (DANMASK-19) trial has just reported on the efficacy of masks to prevent COVID-19 transmission [41]. In this trial, 6,024 adults were randomly assigned to a mask recommendation or a control group, and after 1 month the cumulative incidence of COVID-19 in the two groups was 1.8% and 2.1% respectively, with a point estimate of a 15% reduction in risk associated with the face mask recommendation. However, this small risk reduction was not statistically significant. Of note, the study had only been powered to identify a 50% or greater risk reduction. The results of this trial should thus not be interpreted as evidence that masks do not work, since the effect size reported is very consistent with the effects that would be expected based on previous meta-analyses including this new report by Brainard et al. [17] One concern about the trial by Bundgaard et al. is the use of serology to identify outcomes. Since participants were only followed up for one month [17], it is possible that some infections identified in serology at day 30 were actually infections that occurred before the intervention, leading to effect dilution. In comparison to randomised trials, observational studies provide relatively less reliable information on the effects of interventions, particularly for an intervention such as face masks that are often combined with other protective measures or changes in behaviours. A recent meta-analysis of observational studies found that face mask use by those exposed to infected individuals in non-healthcare observational settings was associated with a 44% risk reduction of infection with severe acute respiratory syndrome coronavirus (SARS-CoV) in 2003 [31]. However, one of the three original studies that formed the summary statistic actually referred to mask use by visiting family members to hospitalised SARS-CoV patients in 2003, thus the exposure per se was healthcare related. In the same review, eye protection alone was estimated to provide 78% reduction in risk of SARS-CoV or Middle East Respiratory Syndrome coronavirus (MERS-CoV) infection [31], an effect size which appears highly implausible given that eyes are unlikely to be a major route of infection. There are clear evidential gaps in the science of modes of COVID-19 transmission. Nevertheless, there is compelling evidence that masks can contribute to the control of COVID-19. Given that face masks are inexpensive in comparison to the other public health measures being used to control COVID-19, even a limited effect on transmission would justify their widespread use. In addition to recommending that people wear face masks in poorly ventilated, crowded settings or when community prevalence is high, some health authorities might even consider to recommend the practice in all settings when in company. The only caveat relates to potential diversion of scarce supplies for healthcare settings, in which case alternative forms of facial coverings that are made of appropriate materials should be considered [1].
  38 in total

1.  Masks for prevention of viral respiratory infections among health care workers and the public: PEER umbrella systematic review.

Authors:  Nicolas Dugré; Joey Ton; Danielle Perry; Scott Garrison; Jamie Falk; James McCormack; Samantha Moe; Christina S Korownyk; Adrienne J Lindblad; Michael R Kolber; Betsy Thomas; Anthony Train; G Michael Allan
Journal:  Can Fam Physician       Date:  2020-07       Impact factor: 3.275

2.  Effectiveness of the use of non-woven face mask to prevent coronavirus infections in the general population: a rapid systematic review.

Authors:  Maria Cristina de Camargo; Martha Sílvia Martinez-Silveira; Adeânio Almeida Lima; Bruno Pires Bastos; Diana Lima Dos Santos; Sara Emanuela de Carvalho Mota; Roberta Borges Silva; Isabela Porto de Toledo
Journal:  Cien Saude Colet       Date:  2020-08-28

3.  Cochrane Review: Interventions for the interruption or reduction of the spread of respiratory viruses.

Authors:  Tom Jefferson; Ruth Foxlee; Chris Del Mar; Liz Dooley; Eliana Ferroni; Bill Hewak; Adi Prabhala; Sreekumaran Nair; Alessandro Rivetti
Journal:  Evid Based Child Health       Date:  2008-12-10

4.  Aerosol and Surface Distribution of Severe Acute Respiratory Syndrome Coronavirus 2 in Hospital Wards, Wuhan, China, 2020.

Authors:  Zhen-Dong Guo; Zhong-Yi Wang; Shou-Feng Zhang; Xiao Li; Lin Li; Chao Li; Yan Cui; Rui-Bin Fu; Yun-Zhu Dong; Xiang-Yang Chi; Meng-Yao Zhang; Kun Liu; Cheng Cao; Bin Liu; Ke Zhang; Yu-Wei Gao; Bing Lu; Wei Chen
Journal:  Emerg Infect Dis       Date:  2020-06-21       Impact factor: 6.883

5.  Efficacy of face mask in preventing respiratory virus transmission: A systematic review and meta-analysis.

Authors:  Mingming Liang; Liang Gao; Ce Cheng; Qin Zhou; John Patrick Uy; Kurt Heiner; Chenyu Sun
Journal:  Travel Med Infect Dis       Date:  2020-05-28       Impact factor: 6.211

6.  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.

Authors:  Derek K Chu; Elie A Akl; Stephanie Duda; Karla Solo; Sally Yaacoub; Holger J Schünemann
Journal:  Lancet       Date:  2020-06-01       Impact factor: 79.321

7.  The relative transmissibility of asymptomatic COVID-19 infections among close contacts.

Authors:  Daihai He; Shi Zhao; Qianying Lin; Zian Zhuang; Peihua Cao; Maggie H Wang; Lin Yang
Journal:  Int J Infect Dis       Date:  2020-04-18       Impact factor: 3.623

8.  Detection of air and surface contamination by SARS-CoV-2 in hospital rooms of infected patients.

Authors:  Po Ying Chia; Kristen Kelli Coleman; Yian Kim Tan; Sean Wei Xiang Ong; Marcus Gum; Sok Kiang Lau; Xiao Fang Lim; Ai Sim Lim; Stephanie Sutjipto; Pei Hua Lee; Than The Son; Barnaby Edward Young; Donald K Milton; Gregory C Gray; Stephan Schuster; Timothy Barkham; Partha Pratim De; Shawn Vasoo; Monica Chan; Brenda Sze Peng Ang; Boon Huan Tan; Yee-Sin Leo; Oon-Tek Ng; Michelle Su Yen Wong; Kalisvar Marimuthu
Journal:  Nat Commun       Date:  2020-05-29       Impact factor: 14.919

9.  Face masks considerably reduce COVID-19 cases in Germany.

Authors:  Timo Mitze; Reinhold Kosfeld; Johannes Rode; Klaus Wälde
Journal:  Proc Natl Acad Sci U S A       Date:  2020-12-03       Impact factor: 11.205

10.  Aerosol and Surface Stability of SARS-CoV-2 as Compared with SARS-CoV-1.

Authors:  Neeltje van Doremalen; Trenton Bushmaker; Dylan H Morris; Myndi G Holbrook; Amandine Gamble; Brandi N Williamson; Azaibi Tamin; Jennifer L Harcourt; Natalie J Thornburg; Susan I Gerber; James O Lloyd-Smith; Emmie de Wit; Vincent J Munster
Journal:  N Engl J Med       Date:  2020-03-17       Impact factor: 91.245

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  9 in total

1.  COVID-19 transmission in Hong Kong despite universal masking.

Authors:  Mario Martín-Sánchez; Wey Wen Lim; Amy Yeung; Dillon C Adam; Sheikh Taslim Ali; Eric H Y Lau; Peng Wu; Kwok-Yung Yuen; Gabriel M Leung; Benjamin J Cowling
Journal:  J Infect       Date:  2021-04-22       Impact factor: 6.072

2.  No evidence that mask-wearing in public places elicits risk compensation behavior during the COVID-19 pandemic.

Authors:  Lasse S Liebst; Peter Ejbye-Ernst; Marijn de Bruin; Josephine Thomas; Marie R Lindegaard
Journal:  Sci Rep       Date:  2022-01-27       Impact factor: 4.379

3.  Face mask mandates and risk compensation: an analysis of mobility data during the COVID-19 pandemic in Bangladesh.

Authors:  Zia Wadud; Sheikh Mokhlesur Rahman; Annesha Enam
Journal:  BMJ Glob Health       Date:  2022-01

4.  Outbreak of SARS-CoV-2 at a hospice: terminated after the implementation of enhanced aerosol infection control measures.

Authors:  Luke Feathers; Tracey Hinde; Tammy Bale; Jo Hyde; Paul W Bird; Christopher W Holmes; Julian W Tang
Journal:  Interface Focus       Date:  2022-02-11       Impact factor: 3.906

5.  Within and between classroom transmission patterns of seasonal influenza among primary school students in Matsumoto city, Japan.

Authors:  Akira Endo; Mitsuo Uchida; Naoki Hayashi; Yang Liu; Katherine E Atkins; Adam J Kucharski; Sebastian Funk
Journal:  Proc Natl Acad Sci U S A       Date:  2021-11-16       Impact factor: 12.779

6.  Was the Reduction in Seasonal Influenza Transmission during 2020 Attributable to Non-Pharmaceutical Interventions to Contain Coronavirus Disease 2019 (COVID-19) in Japan?

Authors:  Keita Wagatsuma; Iain S Koolhof; Reiko Saito
Journal:  Viruses       Date:  2022-06-28       Impact factor: 5.818

7.  The COVID University Challenge: A Hazard Analysis of Critical Control Points Assessment of the Return of Students to Higher Education Establishments.

Authors:  Kelly L Edmunds; Laura Bowater; Julii Brainard; Jean-Charles de Coriolis; Iain Lake; Rimsha R Malik; Lorraine Newark; Neil Ward; Kay Yeoman; Paul R Hunter
Journal:  Risk Anal       Date:  2021-06-02       Impact factor: 4.302

8.  HAVoC, a bioinformatic pipeline for reference-based consensus assembly and lineage assignment for SARS-CoV-2 sequences.

Authors:  Ravi Kant; Teemu Smura; Phuoc Thien Truong Nguyen; Ilya Plyusnin; Tarja Sironen; Olli Vapalahti
Journal:  BMC Bioinformatics       Date:  2021-07-17       Impact factor: 3.169

9.  Impact of non-pharmaceutical interventions against COVID-19 in Europe in 2020: a quasi-experimental non-equivalent group and time series design study.

Authors:  Paul R Hunter; Felipe J Colón-González; Julii Brainard; Steven Rushton
Journal:  Euro Surveill       Date:  2021-07
  9 in total

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