布マスクは飛沫核を十分防ぐことはできない

4月1日に首相が「各世帯に2枚ずつ布製マスクを配る」と発表されました。

多くの医療従事者は、「えっ、エイプリルフール？」という反応を示しました。

「布製マスクは飛沫核を十分防ぐことはできない」という結果が出ているからです。

どうしても咳が出るけど、サージカルマスク等が入手できない場合、ペーパータオルを使って手作りマスクを作成して使い捨てるか、クリアファイルを使って作ったフェイスシールドを繰り返し使った方が有効でしょう。

但し花粉症には布マスクでもOKです。

・不織布の(非サージカル)マスクは飛沫核も約70％補足する。

　ペーパータオル3枚(6重)は飛沫核を80％補足する。

　ハンカチ2枚重ねは60〜70％程度を補足する。

https://www.youtube.com/watch?v=T4fhfCUWFL4&feature=youtu.be&fbclid=IwAR308VBN6wm53vB5n6q_cJqLEflIIUnWziOyvLcyTRUrnU2puP5FZ35DuGc

・不織布マスクを洗濯すると捕捉率は半減する。

https://www.youtube.com/watch?v=juxqWb9nssg

・アベノマスクの結果

https://www.youtube.com/watch?v=bo7xryl786s&feature=youtu.be

　　（2020/04/02　管理者文責）

*********************************************

すべての感染症発生率は布マスク群で最も高く、特に発熱性疾患の感染率は布マスク群で統計的に有意に高かった（相対リスク（RR）= 13.00、95％CI 1.69〜100.07）。

布マスクも、対照群と比較して有意に高い発熱性疾患の感染率を示しました。

マスク使用による分析では、発熱性疾患の感染率（RR = 6.64、95％CI 1.45から28.65）と検査室で確認されたウイルス（RR = 1.72、95％CI 1.01から2.94）が、医療マスク群と比較して布マスク群で有意に高かった。

粒子の97％が布マスクを通過し、医療用マスクは44％でした。

この研究は布マスクの最初のRCTであり、結果は布マスクの使用に注意が必要なことを示しています。

これは、労働安全衛生を知らせる重要な発見です。

布マスクの再利用(による不衛生)、湿気をため込み、殆どの飛沫や粒子を通過させることによって、感染のリスクを高める可能性があります。

布マスクの世界的な普及を知らせるには、さらなる研究が必要ですが、予防策として、特にリスクの高い状況では、医療従事者に布製マスクを推奨しないでください。

臨床検査では、粒子や飛沫の透過率は、

布マスク（97％）

医療用マスク（44％）

3M Vflex 9105 N95（0.1％）

3M 9320 N95（<0.01％）

と示されました 。

A cluster randomised trial of cloth masks compared with medical masks in healthcare workers

C Raina MacIntyre, Holly Seale, Tham Chi Dung, Nguyen Tran Hien, Phan Thi Nga, Abrar Ahmad Chughtai, Bayzidur Rahman, Dominic E Dwyer, Quanyi Wang

https://bmjopen.bmj.com/content/5/4/e006577?fbclid=IwAR0Q11TSgWZjanlrJeuPA4F3h67KDU1m3SOCg0NXj7Px3XsVZcObE-Z0Gok

The authors of this article, published in 2015, have written a response to their work in light of the COVID-19 pandemic. We urge our readers to consider the response when reading the article. https://bmjopen.bmj.com/content/5/4/e006577.responses#covid-19-shortages-of-masks-and-the-use-of-cloth-masks-as-a-last-resort

Abstract

Objective The aim of this study was to compare the efficacy of cloth masks to medical masks in hospital healthcare workers (HCWs).

The null hypothesis is that there is no difference between medical masks and cloth masks.

Setting 14 secondary-level/tertiary-level hospitals in Hanoi, Vietnam.

Participants 1607 hospital HCWs aged ≥18 years working full-time in selected high-risk wards.

Intervention Hospital wards were randomised to: medical masks, cloth masks or a control group (usual practice, which included mask wearing).

Participants used the mask on every shift for 4 consecutive weeks.

Main outcome measure Clinical respiratory illness (CRI), influenza-like illness (ILI) and laboratory-confirmed respiratory virus infection.

Results The rates of all infection outcomes were highest in the cloth mask arm, with the rate of ILI statistically significantly higher in the cloth mask arm (relative risk (RR)=13.00, 95% CI 1.69 to 100.07) compared with the medical mask arm.

Cloth masks also had significantly higher rates of ILI compared with the control arm.

An analysis by mask use showed ILI (RR=6.64, 95% CI 1.45 to 28.65) and laboratory-confirmed virus (RR=1.72, 95% CI 1.01 to 2.94) were significantly higher in the cloth masks group compared with the medical masks group.

Penetration of cloth masks by particles was almost 97% and medical masks 44%.

Conclusions This study is the first RCT of cloth masks, and the results caution against the use of cloth masks. This is an important finding to inform occupational health and safety. Moisture retention, reuse of cloth masks and poor filtration may result in increased risk of infection. Further research is needed to inform the widespread use of cloth masks globally. However, as a precautionary measure, cloth masks should not be recommended for HCWs, particularly in high-risk situations, and guidelines need to be updated.

Trial registration number Australian New Zealand Clinical Trials Registry: ACTRN12610000887077.

This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See:

http://creativecommons.org/licenses/by-nc/4.0/

http://dx.doi.org/10.1136/bmjopen-2014-006577

Strengths and limitations of this study

• The use of cloth masks is widespread around the world, particularly in countries at high-risk for emerging infections, but there have been no efficacy studies to underpin their use.

• This study is large, a prospective randomised clinical trial (RCT) and the first RCT ever conducted of cloth masks.

• The use of cloth masks are not addressed in most guidelines for health care workers—this study provides data to update guidelines.

• The control arm was ‘standard practice’, which comprised mask use in a high proportion of participants. As such (without a no-mask control), the finding of a much higher rate of infection in the cloth mask arm could be interpreted as harm caused by cloth masks, efficacy of medical masks, or most likely a combination of both.

Introduction

The use of facemasks and respirators for the protection of healthcare workers (HCWs) has received renewed interest following the 2009 influenza pandemic,¹ and emerging infectious diseases such as avian influenza,²Middle East respiratory syndrome coronavirus (MERS-coronavirus)³ ,⁴ and Ebola virus.⁵ Historically, various types of cloth/cotton masks (referred to here after as ‘cloth masks’) have been used to protect HCWs.⁶ Disposable medical/surgical masks (referred to here after as ‘medical masks’) were introduced into healthcare in the mid 19th century, followed later by respirators.⁷ Compared with other parts of the world, the use of face masks is more prevalent in Asian countries, such as China and Vietnam.^8–11

In high resource settings, disposable medical masks and respirators have long since replaced the use of cloth masks in hospitals. Yet cloth masks remain widely used globally, including in Asian countries, which have historically been affected by emerging infectious diseases, as well as in West Africa, in the context of shortages of personal protective equipment (PPE).¹² ,¹³ It has been shown that medical research disproportionately favours diseases of wealthy countries, and there is a lack of research on the health needs of poorer countries.¹⁴ Further, there is a lack of high-quality studies around the use of facemasks and respirators in the healthcare setting, with only four randomised clinical trials (RCTs) to date.¹⁵ Despite widespread use, cloth masks are rarely mentioned in policy documents,¹⁶ and have never been tested for efficacy in a RCT. Very few studies have been conducted around the clinical effectiveness of cloth masks, and most available studies are observational or in vitro.⁶ Emerging infectious diseases are not constrained within geographical borders, so it is important for global disease control that use of cloth masks be underpinned by evidence. The aim of this study was to determine the efficacy of cloth masks compared with medical masks in HCWs working in high-risk hospital wards, against the prevention of respiratory infections.

Methods

A cluster-randomised trial of medical and cloth mask use for HCWs was conducted in 14 hospitals in Hanoi, Vietnam. The trial started on the 3 March 2011, with rolling recruitment undertaken between 3 March 2011 and 10 March 2011. Participants were followed during the same calendar time for 4 weeks of facemasks use and then one additional week for appearance of symptoms. An invitation letter was sent to 32 hospitals in Hanoi, of which 16 agreed to participate. One hospital did not meet the eligibility criteria; therefore, 74 wards in 15 hospitals were randomised. Following the randomisation process, one hospital withdrew from the study because of a nosocomial outbreak of rubella.

Participants provided written informed consent prior to initiation of the trial.

Randomisation

Seventy-four wards (emergency, infectious/respiratory disease, intensive care and paediatrics) were selected as high-risk settings for occupational exposure to respiratory infections. Cluster randomisation was used because the outcome of interest was respiratory infectious diseases, where prevention of one infection in an individual can prevent a chain of subsequent transmission in closed settings.⁸ ,⁹ Epi info V.6 was used to generate a randomisation allocation and 74 wards were randomly allocated to the interventions.

From the eligible wards 1868 HCWs were approached to participate. After providing informed consent, 1607 participants were randomised by ward to three arms: (1) medical masks at all times on their work shift; (2) cloth masks at all times on shift or (3) control arm (standard practice, which may or may not include mask use). Standard practice was used as control because the IRB deemed it unethical to ask participants to not wear a mask. We studied continuous mask use (defined as wearing masks all the time during a work shift, except while in the toilet or during tea or lunch breaks) because this reflects current practice in high-risk settings in Asia.⁸

The laboratory results were blinded and laboratory testing was conducted in a blinded fashion. As facemask use is a visible intervention, clinical end points could not be blinded. Figure 1 outlines the recruitment and randomisation process.

Figure 1

Consort diagram of recruitment and follow-up (HCWs, healthcare workers).

Primary end points

There were three primary end points for this study, used in our previous mask RCTs:⁸ ,⁹ (1) Clinical respiratory illness (CRI), defined as two or more respiratory symptoms or one respiratory symptom and a systemic symptom;¹⁷ (2) influenza-like illness (ILI), defined as fever ≥38°C plus one respiratory symptom and (3) laboratory-confirmed viral respiratory infection. Laboratory confirmation was by nucleic acid detection using multiplex reverse transcriptase PCR (RT-PCR) for 17 respiratory viruses: respiratory syncytial virus (RSV) A and B, human metapneumovirus (hMPV), influenza A (H3N2), (H1N1)pdm09, influenza B, parainfluenza viruses 1–4, influenza C, rhinoviruses, severe acute respiratory syndrome (SARS) associated coronavirus (SARS-CoV), coronaviruses 229E, NL63, OC43 and HKU1, adenoviruses and human bocavirus (hBoV).^18–23 Additional end points included compliance with mask use, defined as using the mask during the shift for 70% or more of work shift hours.⁹ HCWs were categorised as ‘compliant’ if the average use was equal or more than 70% of the working time. HCW were categorised as ‘non-compliant’ if the average mask use was less than 70% of the working time.

Eligibility

Nurses or doctors aged ≥18 years working full-time were eligible. Exclusion criteria were: (1) Unable or refused to consent; (2) Beards, long moustaches or long facial hair stubble; (3) Current respiratory illness, rhinitis and/or allergy.

Intervention

Participants wore the mask on every shift for four consecutive weeks. Participants in the medical mask arm were supplied with two masks daily for each 8 h shift, while participants in the cloth mask arm were provided with five masks in total for the study duration, which they were asked to wash and rotate over the study period. They were asked to wash cloth masks with soap and water every day after finishing the shifts. Participants were supplied with written instructions on how to clean their cloth masks. Masks used in the study were locally manufactured medical (three layer, made of non-woven material) or cloth masks (two layer, made of cotton) commonly used in Vietnamese hospitals. The control group was asked to continue with their normal practices, which may or may not have included mask wearing. Mask wearing was measured and documented for all participants, including the control arm.

Data collection and follow-up

Data on sociodemographic, clinical and other potential confounding factors were collected at baseline. Participants were followed up daily for 4 weeks (active intervention period), and for an extra week of standard practice, in order to document incident infection after incubation. Participants received a thermometer (traditional glass and mercury) to measure their temperature daily and at symptom onset. Daily diary cards were provided to record number of hours worked and mask use, estimated number of patient contacts (with/without ILI) and number/type of aerosol-generating procedures (AGPs) conducted, such as suctioning of airways, sputum induction, endotracheal intubation and bronchoscopy. Participants in the cloth mask and control group (if they used cloth masks) were also asked to document the process used to clean their mask after use.

We also monitored compliance with mask use by a previously validated self-reporting mechanism.⁸ Participants were contacted daily to identify incident cases of respiratory infection. If participants were symptomatic, swabs of both tonsils and the posterior pharyngeal wall were collected on the day of reporting.

Sample collection and laboratory testing

Trained collectors used double rayon-tipped, plastic-shafted swabs to scratch tonsillar areas as well as the posterior pharyngeal wall of symptomatic participants. Testing was conducted using RT-PCR applying published methods.^19–23 Viral RNA was extracted from each respiratory specimen using the Viral RNA Mini kit (Qiagen, Germany), following the manufacturer's instructions. The RNA extraction step was controlled by amplification of a RNA house-keeping gene (amplify pGEM) using real-time RT-PCR. Only extracted samples with the house keeping gene detected by real-time RT-PCR were submitted for multiplex RT-PCR for viruses.

The reverse transcription and PCRs were performed in OneStep (Qiagen, Germany) to amplify viral target genes, and then in five multiplex RT-PCR: RSVA/B, influenza A/H3N2, A(H1N1) and B viruses, hMPV (reaction mix 1); parainfluenza viruses 1–4 (reaction mix 2); rhinoviruses, influenza C virus, SARS-CoV (reaction mix 3); coronaviruses OC43, 229E, NL63 and HKU1 (reaction mix 4); and adenoviruses and hBoV (reaction mix 5), using a method published by others.¹⁸ All samples with viruses detected by multiplex RT-PCR were confirmed by virus-specific mono nested or heminested PCR. Positive controls were prepared by in vitro transcription to control amplification efficacy and monitor for false negatives, and included in all runs (except for NL63 and HKU1). Each run always included two negatives to monitor amplification quality. Specimen processing, RNA extraction, PCR amplification and PCR product analyses were conducted in different rooms to avoid cross-contamination.¹⁹ ,²⁰

Filtration testing

The filtration performance of the cloth and medical masks was tested according to the respiratory standard AS/NZS1716.²⁴The equipment used was a TSI 8110 Filter tester. To test the filtration performance, the filter is challenged by a known concentration of sodium chloride particles of a specified size range and at a defined flow rate. The particle concentration is measured before and after adding the filter material and the relative filtration efficiency is calculated. We examined the performance of cloth masks compared with the performance levels—P1, P2 (=N95) and P3, as used for assessment of all particulate filters for respiratory protection. The 3M 9320 N95 and 3M Vflex 9105 N95 were used to compare against the cloth and medical masks.

Sample size calculation

To obtain 80% power at two-sided 5% significance level for detecting a significant difference of attack rate between medical masks and cloth masks, and for a rate of infection of 13% for cloth mask wearers compared with 6% in medical mask wearers, we would need eight clusters per arm and 530 participants in each arm, and intracluster correlation coefficient (ICC) 0.027, obtained from our previous study.⁸ The design effect (deff) for this cluster randomisation trial was 1.65 (deff=1+(m−1)×ICC=1+(25−1)×0.027=1.65). As such, we aimed to recruit a sample size of 1600 participants from up to 15 hospitals.

Analysis

Descriptive statistics were compared among intervention and control arms. Primary end points were analysed by intention to treat. We compared the event rates for the primary outcomes across study arms and calculated p values from cluster-adjusted χ2 tests²⁵ and ICC.²⁵ ,²⁶ We also estimated relative risk (RR) after adjusting for clustering using a log-binomial model under generalised estimating equation (GEE) framework.²⁷ We checked for variables which were unequally distributed across arms, and conducted an adjusted analysis accordingly. We fitted a multivariable log-binomial model, using GEE to account for clustering by ward, to estimate RR after adjusting for potential confounders. In the initial model, we included all the variables that had p value less than 0.25 in the univariable analysis, along with the main exposure variable (randomisation arm). A backward elimination method was used to remove the variables that did not have any confounding effect.

As most participants in the control arm used a mask during the trial period, we carried out a post-hoc analysis comparing all participants who used only a medical mask (from the control arm and the medical mask arm) with all participants who used only a cloth mask (from the control arm and the cloth arm). For this analysis, controls who used both types of mask (n=245) or used N95 respirators (n=3) or did not use any masks (n=2) were excluded. We fitted a multivariable log-binomial model, to estimate RR after adjusting for potential confounders. As we pooled data of participants from all three arms and analysed by mask type, not trial arm, we did not adjust for clustering here. All statistical analyses were conducted using STATA V.12.²⁸

Owing to a very high level of mask use in the control arm, we were unable to determine whether the differences between the medical and cloth mask arms were due to a protective effect of medical masks or a detrimental effect of cloth masks. To assist in interpreting the data, we compared rates of infection in the medical mask arm with rates observed in medical mask arms from two previous RCTs,⁸ ,⁹ in which no efficacy of medical masks could be demonstrated when compared with control or N95 respirators, recognising that seasonal and geographic variation in virus activity affects the rates of exposure (and hence rates of infection outcomes) among HCWs. This analysis was possible because the trial designs were similar and the same outcomes were measured in all three trials. The analysis was carried out to determine if the observed results were explained by a detrimental effect of cloth masks or a protective effect of medical masks.

Results

A total of 1607 HCWs were recruited into the study. The participation rate was 86% (1607/1868). The average number of participants per ward was 23 and the mean age was 36 years. On average, HCWs were in contact with 36 patients per day during the trial period (range 0–661 patients per day, median 20 patients per day). The distribution of demographic variables was generally similar between arms (table 1). Figure 2 shows the primary outcomes for each of the trial arms. The rates of CRI, ILI and laboratory-confirmed virus infections were lowest in the medical mask arm, followed by the control arm, and highest in the cloth mask arm.

Figure 2

Outcomes in trial arms (CRI, clinical respiratory illness; ILI, influenza-like illness; Virus, laboratory-confirmed viruses).

Table 2 shows the intention-to-treat analysis. The rate of CRI was highest in the cloth mask arm, followed by the control arm, and lowest in the medical mask arm. The same trend was seen for ILI and laboratory tests confirmed viral infections. In intention-to-treat analysis, ILI was significantly higher among HCWs in the cloth masks group (RR=13.25 and 95% CI 1.74 to 100.97), compared with the medical masks group. The rate of ILI was also significantly higher in the cloth masks arm (RR=3.49 and 95% CI 1.00 to 12.17), compared with the control arm. Other outcomes were not statistically significant between the three arms.

Among the 68 laboratory-confirmed cases, 58 (85%) were due to rhinoviruses. Other viruses detected were hMPV (7 cases), influenza B (1 case), hMPV/rhinovirus co-infection (1 case) and influenza B/rhinovirus co-infection (1 case) (table 3). No influenza A or RSV infections were detected.

Compliance was significantly higher in the cloth mask arm (RR=2.41, 95% CI 2.01 to 2.88) and medical masks arm (RR=2.40, 95% CI 2.00 to 2.87), compared with the control arm. Figure 3 shows the percentage of participants who were compliant in the three arms. A post-hoc analysis adjusted for compliance and other potential confounders showed that the rate of ILI was significantly higher in the cloth mask arm (RR=13.00, 95% CI 1.69 to 100.07), compared with the medical masks arm (table 4). There was no significant difference between the medical mask and control arms. Hand washing was significantly protective against laboratory-confirmed viral infection (RR=0.66, 95% CI 0.44 to 0.97).

Figure 3

Compliance with the mask wearing—mask wearing more than 70% of working hours.

In the control arm, 170/458 (37%) used medical masks, 38/458 (8%) used cloth masks, and 245/458 (53%) used a combination of both medical and cloth masks during the study period. The remaining 1% either reported using a N95 respirator (n=3) or did not use any masks (n=2).

Table 5 shows an additional analysis comparing all participants who used only a medical mask (from the control arm and the medical mask arm) with all participants who used only a cloth mask (from the control arm and the cloth arm). In the univariate analysis, all outcomes were significantly higher in the cloth mask group, compared with the medical masks group. After adjusting for other factors, ILI (RR=6.64, 95% CI 1.45 to 28.65) and laboratory-confirmed virus (RR=1.72, 95% CI 1.01 to 2.94) remained significantly higher in the cloth masks group compared with the medical masks group.

On average, HCWs worked for 25 days during the trial period and washed their cloth masks for 23/25 (92%) days. The most common approach to washing cloth masks was self-washing (456/569, 80%), followed by combined self-washing and hospital laundry (91/569, 16%), and only hospital laundry (22/569, 4%). Adverse events associated with facemask use were reported in 40.4% (227/562) of HCWs in the medical mask arm and 42.6% (242/568) in the cloth mask arm (p value 0.450). General discomfort (35.1%, 397/1130) and breathing problems (18.3%, 207/1130) were the most frequently reported adverse events.

Laboratory tests showed the penetration of particles through the cloth masks to be very high (97%) compared with medical masks (44%) (used in trial) and 3M 9320 N95 (<0.01%), 3M Vflex 9105 N95 (0.1%).

Discussion

We have provided the first clinical efficacy data of cloth masks, which suggest HCWs should not use cloth masks as protection against respiratory infection. Cloth masks resulted in significantly higher rates of infection than medical masks, and also performed worse than the control arm. The controls were HCWs who observed standard practice, which involved mask use in the majority, albeit with lower compliance than in the intervention arms. The control HCWs also used medical masks more often than cloth masks. When we analysed all mask-wearers including controls, the higher risk of cloth masks was seen for laboratory-confirmed respiratory viral infection.

The trend for all outcomes showed the lowest rates of infection in the medical mask group and the highest rates in the cloth mask arm. The study design does not allow us to determine whether medical masks had efficacy or whether cloth masks were detrimental to HCWs by causing an increase in infection risk. Either possibility, or a combination of both effects, could explain our results. It is also unknown whether the rates of infection observed in the cloth mask arm are the same or higher than in HCWs who do not wear a mask, as almost all participants in the control arm used a mask. The physical properties of a cloth mask, reuse, the frequency and effectiveness of cleaning, and increased moisture retention, may potentially increase the infection risk for HCWs. The virus may survive on the surface of the facemasks,²⁹ and modelling studies have quantified the contamination levels of masks.³⁰ Self-contamination through repeated use and improper doffing is possible. For example, a contaminated cloth mask may transfer pathogen from the mask to the bare hands of the wearer. We also showed that filtration was extremely poor (almost 0%) for the cloth masks. Observations during SARS suggested double-masking and other practices increased the risk of infection because of moisture, liquid diffusion and pathogen retention.³¹These effects may be associated with cloth masks.

We have previously shown that N95 respirators provide superior efficacy to medical masks,⁸ ,⁹ but need to be worn continuously in high-risk settings to protect HCWs.⁹ Although efficacy for medical masks was not shown, efficacy of a magnitude that was too small to be detected is possible.⁸ ,⁹ The magnitude of difference between cloth masks and medical masks in the current study, if explained by efficacy of medical masks alone, translates to an efficacy of 92% against ILI, which is possible, but not consistent with the lack of efficacy in the two previous RCTs.⁸ ,⁹ Further, we found no significant difference in rates of virus isolation in medical mask users between the three trials, suggesting that the results of this study could be interpreted as partly being explained by a detrimental effect of cloth masks. This is further supported by the fact that the rate of virus isolation in the no-mask control group in the first Chinese RCT was 3.1%, which was not significantly different to the rates of virus isolation in the medical mask arms in any of the three trials including this one. Unlike the previous RCTs, circulating influenza and RSV were almost completely absent during this study, with rhinoviruses comprising 85% of isolated pathogens, which means the measured efficacy is against a different range of circulating respiratory pathogens. Influenza and RSV predominantly transmit through droplet and contact routes, while Rhinovirus transmits through multiple routes, including airborne and droplet routes.³² ,³³ The data also show that the clinical case definition of ILI is non-specific, and captures a range of pathogens other than influenza. The study suggests medical masks may be protective, but the magnitude of difference raises the possibility that cloth masks cause an increase in infection risk in HCWs. Further, the filtration of the medical mask used in this trial was poor, making extremely high efficacy of medical masks unlikely, particularly given the predominant pathogen was rhinovirus, which spreads by the airborne route. Given the obligations to HCW occupational health and safety, it is important to consider the potential risk of using cloth masks.

In many parts of the world, cloth masks and medical masks may be the only options available for HCWs. Cloth masks have been used in West Africa during the Ebola outbreak in 2014, due to shortages of PPE, (personal communication, M Jalloh). The use of cloth masks is recommended by some health organisations, with caveats.^34–36 In light of our study, and the obligation to ensure occupational health and safety of HCWs, cloth masks should not be recommended for HCWs, particularly during AGPs and in high-risk settings such as emergency, infectious/respiratory disease and intensive care wards. Infection control guidelines need to acknowledge the widespread real-world practice of cloth masks and should comprehensively address their use. In addition, other important infection control measure such as hand hygiene should not be compromised. We confirmed the protective effects of hand hygiene against laboratory-confirmed viral infection in this study, but mask type was an independent predictor of clinical illness, even adjusted for hand hygiene.

A limitation of this study is that we did not measure compliance with hand hygiene, and the results reflect self-reported compliance, which may be subject to recall or other types of bias. Another limitation of this study is the lack of a no-mask control group and the high use of masks in the controls, which makes interpretation of the results more difficult. In addition, the quality of paper and cloth masks varies widely around the world, so the results may not be generalisable to all settings. The lack of influenza and RSV (or asymptomatic infections) during the study is also a limitation, although the predominance of rhinovirus is informative about pathogens transmitted by the droplet and airborne routes in this setting. As in previous studies, exposure to infection outside the workplace could not be estimated, but we would assume it to be equally distributed between trial arms. The major strength of the randomised trial study design is in ensuring equal distribution of confounders and effect modifiers (such as exposure outside the workplace) between trial arms.

Cloth masks are used in resource-poor settings because of the reduced cost of a reusable option. Various types of cloth masks (made of cotton, gauze and other fibres) have been tested in vitro in the past and show lower filtration capacity compared with disposable masks.⁷ The protection afforded by gauze masks increases with the fineness of the cloth and the number of layers,³⁷ indicating potential to develop a more effective cloth mask, for example, with finer weave, more layers and a better fit.

Cloth masks are generally retained long term and reused multiple times, with a variety of cleaning methods and widely different intervals of cleaning.³⁴ Further studies are required to determine if variations in frequency and type of cleaning affect the efficacy of cloth masks.

Pandemics and emerging infections are more likely to arise in low-income or middle-income settings than in wealthy countries. In the interests of global public health, adequate attention should be paid to cloth mask use in such settings. The data from this study provide some reassurance about medical masks, and are the first data to show potential clinical efficacy of medical masks. Medical masks are used to provide protection against droplet spread, splash and spray of blood and body fluids. Medical masks or respirators are recommended by different organisations to prevent transmission of Ebola virus, yet shortages of PPE may result in HCWs being forced to use cloth masks.^38–40 In the interest of providing safe, low-cost options in low income countries, there is scope for research into more effectively designed cloth masks, but until such research is carried out, cloth masks should not be recommended. We also recommend that infection control guidelines be updated about cloth mask use to protect the occupational health and safety of HCWs.

References

1. ↵World Health Organization (WHO). Global Alert and Response (GAR), Pandemic (H1N1) 2009—update 76 (cited 27 Apr 2012). http://www.who.int/csr/don/2009_11_27a/en/index.htmlGoogle Scholar

2. ↵World Health Organization (WHO). Human infection with avian influenza A(H7N9) virus—update (cited 8 May 2013). http://www.who.int/csr/don/2013_05_07/en/index.htmlGoogle Scholar

3. 1 ↵Bermingham A, Chand MA, Brown CS, et al. Severe respiratory illness caused by a novel coronavirus, in a patient transferred to the United Kingdom from the Middle East, September 2012. Euro Surveill 2012;17:20290.PubMedGoogle Scholar

4. 1 ↵Pollack MP, Pringle C, Madoff LC, et al. Latest outbreak news from ProMED-mail: novel coronavirus—Middle East. Int J Infect Dis 2013;17:e143–4. doi:10.1016/j.ijid.2012.12.001CrossRefPubMedGoogle Scholar

5. ↵World Health Organization (WHO). Global Alert and Response (GAR). Ebola virus disease update—west Africa 2014 (cited 28 Aug 2014). http://www.who.int/csr/don/2014_08_28_ebola/en/Google Scholar

6. 1 ↵Chughtai AA, Seale H, MacIntyre CR. Use of cloth masks in the practice of infection control—evidence and policy gaps. Int J Infect Control 2013;9:1–12.Google Scholar

7. 1 ↵Quesnel LB. The efficiency of surgical masks of varying design and composition. Br J Surg 1975;62:936–40. doi:10.1002/bjs.1800621203CrossRefPubMedGoogle Scholar

8. 1 ↵MacIntyre CR, Wang Q, Cauchemez S, et al. A cluster randomized clinical trial comparing fit-tested and non-fit-tested N95 respirators to medical masks to prevent respiratory virus infection in health care workers. Influenza Other Respir Viruses 2011;5:170–9. doi:10.1111/j.1750-2659.2011.00198.xCrossRefPubMedGoogle Scholar

9. 1 ↵MacIntyre CR, Wang Q, Seale H, et al. A randomised clinical trial of three options for N95 respirators and medical masks in health workers. Am J Respir Crit Care Med 2013;187:960–6. doi:10.1164/rccm.201207-1164OCCrossRefPubMedGoogle Scholar

10. 1 ↵Chughtai AA, MacIntyre CR, Zheng Y, et al. Examining the policies and guidelines around the use of masks and respirators by healthcare workers in China, Pakistan and Vietnam. J Infect Prev 2015;16:68–74.Google Scholar

11. 1 ↵Chughtai AA, Seale H, Chi Dung T, et al. Current practices and barriers to the use of facemasks and respirators among hospital-based health care workers in Vietnam. Am J Infect Control 2015;43:72–7. doi:10.1016/j.ajic.2014.10.009CrossRefPubMedGoogle Scholar

12. 1 ↵Pang X, Zhu Z, Xu F, et al. Evaluation of control measures implemented in the severe acute respiratory syndrome outbreak in Beijing. JAMA 2003;290:3215–21. doi:10.1001/jama.290.24.3215CrossRefPubMedWeb of ScienceGoogle Scholar

13. 1 ↵Yang P, Seale H, MacIntyre C, et al. Mask-wearing and respiratory infection in healthcare workers in Beijing, China. Braz J Infect Dis 2011;15:102–8. doi:10.1016/S1413-8670(11)70153-2CrossRefPubMedGoogle Scholar

14. 1 ↵Horton R. Medical journals: evidence of bias against the diseases of poverty. Lancet 2003;361:712–13. doi:10.1016/S0140-6736(03)12665-7CrossRefPubMedWeb of ScienceGoogle Scholar

15. 1 ↵MacIntyre CR, Chughtai AA. Facemasks for the prevention of infection in healthcare and community settings. BMJ 2015;350:h694.Google Scholar

16. 1 ↵Chughtai AA, Seale H, MacIntyre CR. Availability, consistency and evidence-base of policies and guidelines on the use of mask and respirator to protect hospital health care workers: a global analysis. BMC Res Notes 2013;6:1–9. doi:10.1186/1756-0500-6-216CrossRefPubMedGoogle Scholar

17. 1 ↵MacIntyre C, Cauchemez S, Dwyer D, et al. Face mask use and control of respiratory virus transmission in households. Emerg Infect Dis 2009;15:233–41. doi:10.3201/eid1502.081166CrossRefPubMedWeb of ScienceGoogle Scholar

18. ↵Buecher C, Mardy S, Wang W, et al. Use of a multiplex PCR/RT-PCR approach to assess the viral causes of influenza-like illnesses in Cambodia during three consecutive dry seasons. J Med Virol 2010;82:1762-72 [Epub ahead of print 1 Sep 2010].Google Scholar

19. ↵Higuchi R, Fockler C, Dollinger G, et al. Kinetic PCR analysis: real-time monitoring of DNA amplification reactions. Biotechnology (N Y) 1993;11:1026–30 [Epub ahead of print 1 Sep 2010].Google Scholar

20. ↵Hummel KB, Lowe L, Bellini WJ, et al. Development of quantitative gene-specific real-time RT-PCR assays for the detection of measles virus in clinical specimens. J Virol Methods 2006;132:166–73 [Epub ahead of print 11 Sep 2005].Google Scholar

21. 1 ↵Mackay IM. Real-time PCR in microbiology. Caister Academic Press, 2007.Google Scholar

22. ↵Wang W, Cavailler P, Ren P, et al. Molecular monitoring of causative viruses in child acute respiratory infection in endemo-epidemic situations in Shanghai. J Clin Virol (PASCV) 2010;49:211–8.Google Scholar

23. 1 ↵Thi TN, Deback C, Malet I, et al. Rapid determination of antiviral drug susceptibility of herpes simplex virus types 1 and 2 by real-time PCR. Antiviral Res 2006;69:152–7. doi:10.1016/j.antiviral.2005.11.004CrossRefPubMedWeb of ScienceGoogle Scholar

24. ↵Standards Australia Limited/Standards New Zealand. Respiratory protective devices. Australian/New Zealand Standard. AS/NZS 1716: 2012.Google Scholar

25. 1 ↵Donner A, Klar N. Design and analysis of cluster randomization trials in health research. London: Oxford University Press Inc, 2000.Google Scholar

26. 1 ↵Campbell MK, Elbourne DR, Altman DG, et al. CONSORT statement: extension to cluster randomised trials. BMJ 2004;328:702–8.FREE Full TextGoogle Scholar

27. 1 ↵Vittinghoff E, Glidden DV, Shiboski SC, et al. Regression methods in biostatistics. 2nd edn. New York: Springer-Verlag, 2012.Google Scholar

28. ↵StataCorp. Stata 12 base reference manual. College Station, TX: Stata Press, 2011.Google Scholar

29. 1 ↵Osterholm MT, Moore KA, Kelley NS, et al. Transmission of Ebola viruses: what we know and what we do not know. mBio 2015;6:e00137–15. doi:10.1128/mBio.00137-15CrossRefPubMedGoogle Scholar

30. 1 ↵Fisher EM, Noti JD, Lindsley WG, et al. Validation and application of models to predict facemask influenza contamination in healthcare settings. Risk Anal 2014;34:1423–34. doi:10.1111/risa.12185Google Scholar

31. 1 ↵Li Y, Wong T, Chung J, et al. In vivo protective performance of N95 respirator and surgical facemask. Am J Ind Med 2006;49:1056–65. doi:10.1002/ajim.20395CrossRefPubMedWeb of ScienceGoogle Scholar

32. 1 ↵Dick EC, Jennings LC, Mink KA, et al. Aerosol transmission of rhinovirus colds. J Infect Dis 1987;156:442–8. doi:10.1093/infdis/156.3.442CrossRefPubMedWeb of ScienceGoogle Scholar

33. 1 ↵Bischoff WE. Transmission route of rhinovirus type 39 in a monodispersed airborne aerosol. Infect Control Hosp Epidemiol 2010;31:857–9. doi:10.1086/655022CrossRefPubMedWeb of ScienceGoogle Scholar

34. ↵Institute of Medicine (IOM). Reusability of Facemasks During an Influenza Pandemic: Facing the Flu—Committee on the Development of Reusable Facemasks for Use During an Influenza Pandemic. National Academy of Sciences, 2006.Google Scholar

35. ↵Center for Disease Control and Prevention and World Health Organization. Infection control for viral haemorrhagic fevers in the African health care setting. Atlanta: Centers for Disease Control and Prevention, 1998:1–198.Google Scholar

36. ↵World Health Organization (WHO). Guidelines for the prevention of tuberculosis in health care facilities in resource limited settings, 1999.Google Scholar

37. 1 ↵Weaver GH. Droplet infection and its prevention by the face mask. J Infect Dis 1919;24:218–30. doi:10.1093/infdis/24.3.218CrossRefGoogle Scholar

38. 1 ↵MacIntyre CR, Chughtai AA, Seale H, et al. Respiratory protection for healthcare workers treating Ebola virus disease (EVD): are facemasks sufficient to meet occupational health and safety obligations? Int J Nurs Stud 2014;51: 1421–6. doi:10.1016/j.ijnurstu.2014.09.002CrossRefPubMedGoogle Scholar

39. ↵Center for Disease Control and Prevention (CDC). Guidance on Personal Protective Equipment To Be Used by Healthcare Workers During Management of Patients with Ebola Virus Disease in U.S. Hospitals, Including Procedures for Putting On (Donning) and Removing (Doffing). 2014 (cited 23 Oct 2014). http://www.cdc.gov/vhf/ebola/hcp/procedures-for-ppe.htmlGoogle Scholar

40. ↵World Health Organiszation (WHO). Infection prevention and control guidance for care of patients in health-care settings, with focus on Ebola. 2014 (cited 23 Oct 2014). http://www.who.int/csr/resources/publications/ebola/filovirus_infection_control/en/Google Scholar