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. 2020 Jul 17;81(3):e1–e5. doi: 10.1016/j.jinf.2020.07.015

Mass masking as a way to contain COVID-19 and exit lockdown in low- and middle-income countries

Joseph Nelson Siewe Fodjo a,, Supa Pengpid b, Edlaine Faria de Moura Villela c, Vo Van Thang d, Mohammed Ahmed e, John Ditekemena f,g, Bernardo Vega Crespo h, Rhoda K Wanyenze i, Janeth Dula j, Takashi Watanabe k, Christopher Delgado-Ratto a, Koen Vanden Driessche l,m, Rafael Van den Bergh a, Robert Colebunders a
PMCID: PMC7366097  PMID: 32682733

Highlights

  • Proper use of face masks by the general public can curtail COVID-19 transmission.

  • The World Health Organization encourages countries to adopt mass masking policies.

  • Targeted strategies can increase face mask use even in resource-limited settings.

  • Impact of mass masking on COVID-19 transmission to be assessed via community trials.

  • Efficacy of surgical vs cloth masks for COVID-19 warrants further investigations.

Keywords: COVID-19, Prevention, Face masks, Lockdown, Low- and middle-income countries, World Health Organization

Abstract

In new guidelines published on June 5th 2020, the World Health Organization (WHO) recommends that in areas with ongoing COVID-19 community transmission, governments should encourage the general public to wear face masks in specific situations and settings as part of a comprehensive approach to suppress COVID-19 transmission. Recent online surveys in 206,729 persons residing in nine low- and middle-income countries showed that 32.7%-99.7% of respondents used face masks with significant differences across age groups and sexes. Targeted health promotion strategies and government support are required to increase mask use by the general population.


We read with interest the research work of Cheng and collaborators on community-wide mask use for Coronavirus Disease 2019 (COVID-19) control.1 Indeed, face masks are now recommended by the World Health Organization (WHO) to prevent COVID-19 transmission, according to new guidelines published on June 5th 2020.2 The new recommendations state that in areas with ongoing COVID-19 community transmission, governments should encourage the general public to wear masks in specific situations and settings where physical distancing cannot be achieved, as part of a comprehensive approach to suppress COVID-19 transmission.2

Long before the issuance of these guidelines, many Asian countries were already using face masks and this potentially contributed to the rapid containment of COVID-19 in these countries.1 , 3 Outside of Asia, routine use of masks by the general population is rare. Most European countries were applying previous WHO recommendations whereby face masks were reserved for COVID-19 patients, carers or healthcare workers. Moreover, there were fears that promoting mass masking could aggravate the shortage of face masks among healthcare workers, especially as cloth (fabric) masks were not initially considered useful for COVID-19 prevention in Europe.3 The Director-General of the Chinese Center for Disease Control and Prevention went as far as warning Europe and the United States of America (USA) regarding the risks of not enforcing routine wearing of face masks by the general public.4

Most low- and middle-income countries (LMIC) outside of Asia also initially deprioritised masks and focused on lockdown strategies in an attempt to “flatten the curve”. However, lockdowns are associated with major socio-economic losses which may further exacerbate the precarious conditions in resource-limited settings, and thus compliance to such strategies is implausible (particularly among populations who depend on daily labor for their income). Furthermore, in highly congested settings such as urban slums or refugee camp settings, lockdowns and/or measures of physical distancing are not feasible. The benefits of isolation-based strategies are also limited, given that pre- and asymptomatic individuals are potentially contagious for COVID-19.5

We thus welcome the WHO recommendations to use face masks in the general population, as an important component of strategies to stop the epidemic and/or exit the lockdowns, particularly in LMIC. Recent evidence supports a predominantly airborne transmission route for COVID-19, and strongly encourages face mask use in public to prevent inter-human transmission.6 Modelling studies estimate that the COVID-19 pandemic can be brought to an end if 80% of the population would wear a surgical mask.7 Moreover, mass masking could also alleviate fears that prevent people from seeking medical care for non-COVID-19 conditions, limiting the collateral damage of the COVID-19 pandemic. On the downside, improper mask use may inadvertently increase COVID-19 transmission via indirect contact routes with the mask serving as a fomite. Mass making may also produce a false sense of security leading to reduced adherence to other preventive measures such as hand hygiene.3 Finally, surgical masks pose an environmental threat if discarded inappropriately due to their plastic content.8 It is therefore paramount to monitor both compliance and user practices in ensuring the effectiveness of masks in COVID-19 control.

Between March and June 2020, an international consortium (www.ICPCovid.com) organised online surveys in LMIC to monitor adherence to COVID-19 preventive measures, including face mask use. Only data of consenting respondents who were at least 18 years old and who self-identified as either male or female were analysed (n = 206,729). Adherence to face mask use ranged from 32.7% to 99.7% in the surveyed countries during the ongoing pandemic (Table 1 ).

Table 1.

Survey characteristics and overall adherence to mask use for COVID-19 prevention.

Country Period of the survey Number of respondents Median age in years (IQR) Participants with a university degree: n/N (%) Participants who reported using face mask: n/N (%) Face mask use mandatory at the time of survey Number of COVID-19 cases (and deaths)d
Brazil April 3rd to 9th 25,103 48.0 (37.0 – 58.0) 22,383/25,103 (89.2%) 11,480/25,103 (45.7%) No 1313,667 (57,070)
Democratic Republic of Congo April 23rd to June 8th 3380 34.0 (27.0 – 44.0) 1491/3380 (44.1%) 1404/3252a (43.2%) Yesb 6826 (157)
Ecuador April 1st to 7th 1632 24.0 (21.0 – 37.0) 1322/1632 (81.0%) 1496/1632 (91.7%) Noc 55,255 (4429)
Mozambique May 11th to 17th 3770 33.0 (27.0 – 40.0) 2596/3770 (68.9%) 3541/3770 (93.9%) Yes 859 (5)
Peru June 5th to 11th 3264 41.0 (29.0 – 53.0) 3068/3264 (94.0%) 2988/2997a (99.7%) Yes 275,989 (9135)
Somalia April 21st to May 7th 4116 22.0 (20.0 – 24.0) 3812/4116 (92.6%) 2107/4116 (51.2%) No 2878 (90)
Thailand March 24th to 25th 161,580 43.0 (34.0 – 52.0) NA 151,834/ 161,580 (94.0%) Yes 3162 (58)
Uganda April 16th to 30th 1713 34.0 (28.0 – 42.0) 1655/1713 (96.6%) 561/1713 (32.7%) No 833 (0)
Vietnam March 31st to April 6th 2171 28.0 (23.0 – 37.0) 1676/2171 (77.2%) 2158/2171 (99.4%) Yes 355 (0)

NA: Not available.

a

Missing data on face mask use.

b

Mandatory face mask use was initially implemented only in Kinshasa (as from April 20th), and in other parts of the country during the month of May.

c

Face mask use was highly encouraged, but only became mandatory as from April 8th.

d

National statistics as of the 29th June 2020 (Available at: https://covid19.who.int/).

In countries where masking was mandatory or highly encouraged by the government during the early phases of the COVID-19 outbreak, adherence rates were >90%. In Brazil, the initial low adherence to face mask use together in combination with little or no confinement measures may have contributed to the high COVID-19 mortality in this country. Where data were available on the type of mask used, reusable cloth masks (more cost-beneficial and environmentally friendly than surgical masks) were the most frequent accounting for 4413/8636 (51.1%) of all mask types. Our study shows that even in countries where no pre-existing culture of mask use existed, high uptake of mass masking was feasible. The differential rate of uptake between sexes and age groups, as shown in Table 2 , suggests that targeted health promotion strategies to (further) stimulate mask use may need to be developed, and that COVID-19 prevention strategies need to be contextualized to each setting/population.

Table 2.

Age- and sex-stratified face mask use by participants.

Continent Country Face mask use by age groups: n/N (%) P-valuea Face mask use by sex: n/N (%) P-valuea
18–25 26–40 41–60 > 60 Male Female
South America Brazil 422/1720 (24.5%) 2227/6618 (33.7%) 5561/11,743 (47.4%) 3270/5022 (65.1%) < 0.001 2701/7097 (38.1%) 8779/18,006 (48.8%) < 0.001
Ecuador 842/935 (90.1%) 336/369 (91.1%) 288/295 (97.6%) 30/33 (90.9%) < 0.001 578/642 (90.0%) 918/990 (92.7%) 0.054
Perub 424/425 (99.8%) 1067/1073 (99.4%) 1184/1185 (99.9%) 313/314 (99.7%) 0.229 1086/1090 (99.6%) 1902/1907 (99.7%) 0.614
Asia Thailand 13,511/14,413 (93.7%) 51,959/55,295 (94.0%) 75,059/79,834 (94.0%) 11,305/12,038 (93.9%) 0.629 42,177/44,828 (94.1%) 109,657/116,752 (93.9%) 0.217
Vietnam 840/846 (99.3%) 910/910 (100%) 387/391 (99.0%) 21/24 (87.5%) < 0.001 715/721 (99.2%) 1443/1450 (99.5%) 0.320
Africa Democratic Republic of Congob 256/667 (38.4%) 742/1541 (48.2%) 347/915 (37.9%) 59/129 (45.7%) < 0.001 696/1128 (61.7%) 708/2124 (33.3%) < 0.001
Mozambique 696/760 (91.6%) 1975/2094 (94.3%) 780/820 (95.1%) 90/96 (93.8%) 0.019 2017/2174 (92.8%) 1524/1596 (95.5%) < 0.001
Somalia 1781/3474 (51.3%) 297/589 (50.4%) 26/46 (56.5%) 3/7 (42.9%) 0.834 1022/2490 (41.0%) 1085/1626 (66.7%) < 0.001
Uganda 94/257 (35.8%) 303/964 (31.4%) 148/451 (32.8%) 18/41 (43.9%) 0.245 293/1006 (29.1%) 268/707 (37.9%) < 0.001
a

Chi Squared test.

b

Missing data on mask use.

A few points are worth noting when interpreting our findings: As this was an online survey, respondents were more likely to be young adults with a higher level of education; hence the results are not generalizable to the national population. Also, the cross-sectional nature of our surveys may not capture the rapid evolution of preventive measures and behavior during this COVID-19 pandemic; indeed, the different time points of our surveys may influence the findings on mask use. For instance in Brazil during a second (n = 4650) and third survey (n = 1890), face mask use increased to 89.7% and 96.9% respectively following the government's progressive implication in ensuring mask wearing in public.

Many unknowns persist regarding the effectiveness of mass masking to prevent infection with respiratory viruses, including COVID-19. Results from cluster randomized controlled trials on the use of masks among young adults living in university residences in the USA indicated that face masks may reduce the rate of influenza-like illness, but showed no impact on the risk of laboratory-confirmed influenza.9 A recently published meta-analysis demonstrated that either disposable surgical masks or reusable 12–16-layer cotton masks were associated with protection of healthy individuals within households and among contacts of cases.10 So far, no trial has documented the added value of mass masking for COVID-19 prevention in a community-based setting, although this is suggested by observational reports.1

As there is currently no effective vaccine or treatment against COVID-19, the mass masking policy of the WHO is a prudent move for COVID-19 prevention. We therefore urge the public health and scientific communities to invest in strategies to promote mask use among all tiers of the population, and to further build the evidence-base for optimal COVID-19 prevention strategies.

Author statements

The authors declare no conflicts of interest. RC receives funding from the European Research Council (grant number 671055). All participants provided an informed e-consent (checkbox) before submitting their data anonymously.

CRediT authorship contribution statement

Joseph Nelson Siewe Fodjo: Formal analysis, Writing - review & editing. Supa Pengpid: Data curation, Writing - review & editing. Edlaine Faria de Moura Villela: Data curation, Writing - review & editing. Vo Van Thang: Data curation, Writing - review & editing. Mohammed Ahmed: Data curation, Writing - review & editing. John Ditekemena: Data curation, Writing - review & editing. Bernardo Vega Crespo: Data curation, Writing - review & editing. Rhoda K Wanyenze: Data curation, Writing - review & editing. Janeth Dula: Data curation, Writing - review & editing. Takashi Watanabe: Data curation, Writing - review & editing. Christopher Delgado-Ratto: Data curation, Writing - review & editing. Koen Vanden Driessche: Data curation, Writing - review & editing. Rafael Van den Bergh: Data curation, Writing - review & editing. Robert Colebunders: Writing - original draft.

Acknowledgments

We thank the following ICPcovid research team members in the different countries who were involved in the local organization of the surveys:

Brazil: Ana Paula Sato, Eliseu Waldman (School of Public Health, University of São Paulo), Fábio Oliveira (Health Sciences Unit, Federal University of Jataí), Rossana Lopes (Institute of Cancer of São Paulo State), Epidemiology and Health Services Observatory (EpiServ Team).

Ecuador: David Acurio P, Jose Ortíz S, Julio Jaramillo M, Alejandra Neira M, Jorge Mejía Ch (University of Cuenca)

Peru: Theresa Ochoa, Dionicia Gamboa, Carlos Fernandez-Miñope (Instituto de Medicina Tropical Alexander von Humboldt, Universidad Peruana Cayetano Heredia)

Democratic Republic of Congo: Hypolite Muhindo, Nkumba Mukadi Dalau (Faculty of Medicine, University of Kinshasa)

Mozambique: António Júnior, Sérgio Mahumane, Sónia Enosse, Caroline Deschacht, Sérgio Chicumbe (Instituto Nacional de Saúde, Ministry of Health)

Uganda: Bob Omada, Lillian Bulage, Alex Ario (Uganda National Institute of Public Health)

Somalia: Mohamed Shariff Osman, Ismail Omar Mohamed, Abdiwali Sheikh Mohamed, Mohamed Abdullahi Nor (Mogadishu University)

Thailand: Phanthanee Thitichai, Pathai Singham (DDC, Ministry of Public Health); Government Big Data Institute – GBDi; Chutarat Sathirapanya (PSU)

Vietnam: Nguyen Phuc Thanh Nhan, Hoang Dinh Tuyen, Tran Thao Vy and Vu Thi Cuc, (Faculty of Public Health and Institute for Community Health Research, College of Medicine and Pharmacy, Hue University)

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