2021

UCLA Fielding School of Public Health researchers say mask mandates could add $1 trillion to the U.S. GDP


Near universal adoption of nonmedical masks in public combined with complementary public health measures could successfully eliminate spread of COVID.

graphic with dollar signs and masks

Research published this month in the Proceedings of the National Academy of Sciences found that near-universal adoption of nonmedical masks in public, combined with complementary public health measures, could reduce spread to essentially zero.

“This research makes clear that even as vaccines are developed and new variants, like B.1.7.7, are being discovered, the power to protect ourselves remains in our hands, as individuals,” said co-author Anne Rimoin, UCLA Fielding School professor of epidemiology. “Wearing a mask is one of the simplest, most effective, and cheapest ways to do exactly that – and it’s been proven by the history of epidemiology over the past century, going back to the 1918-19 influenza pandemic and even before.”

R0, pronounced “R naught,” is a mathematical term that indicates how contagious an infectious disease is. It’s also referred to as the reproduction number. As an infection is transmitted to new people, it reproduces itself. Reducing reproduction to zero, in turn, could add $1 trillion to the U.S. GDP, the authors said.

“Reducing disease spread requires two things: limiting contacts of infected individuals via physical distancing and other measures and reducing the transmission probability per contact,” said co-author Christina Ramirez, Fielding School professor of biostatistics. “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.”

The research, published in the January edition of the National Academies’ peer-reviewed journal as “An evidence review of face masks against COVID-19,” was conducted by an international team of 19 specialists from UCLA and more than a dozen other universities and research centers. These include Oxford University, the University of Cape Town, Peking University, the Massachusetts Institute of Technology, and the University of San Francisco.

“When used in conjunction with widespread testing, contact tracing, quarantining of anyone that may be infected, hand washing, and physical distancing, face masks are an invaluable tool to reduce community transmission,” Rimoin said. “All of these measures, through their effect on Ro, have the potential to reduce the number of infections. As governments exit lockdowns, keeping transmissions low enough to preserve health care capacity will be critical until vaccines can be developed and widely provided.”

To come to their conclusions, the team – including Greg Watson, a UCLA FSPH scholar - examined a wide range of new and existing studies and research, including work going back to a 1910 outbreak of plague in northeastern China. Even then, the researchers write, scientists fighting the plague recognized that “the cloth mask was ‘the principal means of personal protection.’ ” In total, the team examined a wide variety of work, focused in 11 areas:

  • Direct epidemiological evidence
  • Reviews of mask use for other respiratory illnesses
  • Ecological studies
  • Modeling
  • Human studies: infectious particles
  • Human studies: aerosol and droplet filtration
  • Risk compensation behavior
  • Managing the stigma associated with wearing a mask
  • Creating new symbolism around wearing a mask
  • Supply chain management of n95 respirators and surgical masks
  • Mandatory mask wearing

The findings of this work had a variety of conclusions, including the following:

  • face masks were 79% effective in preventing transmission, if they were used by all household members prior to symptoms occurring
  • the use of masks was strongly protective, with a risk reduction of 70% for those that always wore a mask when going out
  • transmission was 7.5 times higher in countries that did not have a mask mandate
  • the difference between US states with mask mandates and those without found that the daily growth rate was 2.0 percentage points lower in states with mask mandates, estimating that the mandates had prevented 230,000 to 450,000 COVID-19 cases by May 22, 2020
  • face masks have a large reduction effect on infections and fatalities, (with) a potential impact on U.S. GDP of $1 trillion if a nationwide mask mandate were implemented
  • the marginal benefit per cloth mask worn to be in the range from US $3,000 to US $6,000.

There is also ample evidence from the current pandemic, said study co-author Jeremy Howard, a distinguished research scientist at the University of San Francisco.

“By the end of June 2020, nearly 90% of the global population lived in regions that had nearly universal mask use, or had laws requiring mask use in some public locations, and community mask use was recommended by nearly all major public health bodies,” Howard said. “This is a radical change from the early days of the pandemic, when masks were infrequently recommended or used.”

PNAS mask study

The UCLA Fielding School of Public Health, founded in 1961, is dedicated to enhancing the public's health by conducting innovative research, training future leaders and health professionals from diverse backgrounds, translating research into policy and practice, and serving our local communities and the communities of the nation and the world. The school has 631 students from 26 nations engaged in carrying out the vision of building healthy futures in greater Los Angeles, California, the nation and the world.
Attachment: PNAS Mask Study

Faculty Referenced by this Article

Dr. Anne Rimoin
Anne Rimoin
Epidemiology
Read Faculty Profile
Dr. Christina Ramirez
Christina Ramirez
Biostatistics
Read Faculty Profile
Faculty/staff profile placeholder image
Annette Regan
Epidemiology
Read Faculty Profile
Dr. Zuo-Feng Zhang
Zuo-Feng Zhang
Epidemiology
Read Faculty Profile
Martin L. Lee
Martin L. Lee
Biostatistics
Read Faculty Profile
Thomas Belin
Thomas R. Belin
Biostatistics
Read Faculty Profile
Faculty/staff profile placeholder image
Frank J. Sorvillo
Epidemiology
Read Faculty Profile
Faculty/staff profile placeholder image
Leeka I. Kheifets
Epidemiology
Read Faculty Profile
Faculty/staff profile placeholder image
Niklas Krause
Environmental Health Sciences Epidemiology
Read Faculty Profile
Dr. Dvora Joseph Davey
Dvora Joseph Davey

Dr. Joseph Davey is an infectious disease epidemiologist with over 20 years' experience leading research on HIV/STI services for women and children.

Epidemiology
Read Faculty Profile
Faculty/staff profile placeholder image
Nicole Hoff
Epidemiology
Read Faculty Profile
Faculty/staff profile placeholder image
Paul Dluzniewski
Epidemiology
Read Faculty Profile
Jody Heymann
Jody Heymann
Epidemiology Health Policy and Management
Read Faculty Profile
Faculty/staff profile placeholder image
Lawrence Ash
Epidemiology
Read Faculty Profile
Faculty/staff profile placeholder image
Peter Katona
Epidemiology
Read Faculty Profile
Pamina Gorbach
Pamina Gorbach
Epidemiology
Read Faculty Profile
Faculty/staff profile placeholder image
Amy Wohl
Epidemiology
Read Faculty Profile
Falco Joannes Bargagli Stoffi
Falco J. Bargagli Stoffi
Biostatistics
Read Faculty Profile
Otoniel Martinez-Maza
Otoniel Martinez-Maza
Epidemiology
Read Faculty Profile
Faculty/staff profile placeholder image
Jian Yu Rao
Epidemiology
Read Faculty Profile
Jonathan Jacobs
Jonathan Jacobs
Epidemiology
Read Faculty Profile
Dr. Marjan Javanbakht
Marjan Javanbakht
Epidemiology
Read Faculty Profile
sheena sullivan photo
Sheena G. Sullivan
Epidemiology
Read Faculty Profile
Dr. Michele Guindani
Michele Guindani
Biostatistics
Read Faculty Profile
Robert Kim-Farley
Robert J. Kim-Farley

Robert J. Kim-Farley, MD, MPH, is a Professor-in-Residence with joint appointments in the Departments of Epidemiology and Community Health Sciences

Community Health Sciences Epidemiology
Read Faculty Profile
Nathan Wong
Nathan D. Wong
Epidemiology
Read Faculty Profile
Bailley, Julia
Julia Bailey
Epidemiology
Read Faculty Profile
Dr. Donatello Telesca
Donatello Telesca
Biostatistics
Read Faculty Profile
Dr. Beate Ritz
Beate Ritz
Environmental Health Sciences Epidemiology
Read Faculty Profile
Woman dressed in blue and wearing pearls and eye glasses
Lisa V. Smith
Epidemiology
Read Faculty Profile
Brunilda Balliu headshot
Brunilda Balliu
Biostatistics
Read Faculty Profile
Dr. Gang Li
Gang Li
Biostatistics
Read Faculty Profile
Faculty/staff profile placeholder image
Kelika Konda
Epidemiology
Read Faculty Profile
Faculty/staff profile placeholder image
Nina Harawa
Epidemiology
Read Faculty Profile
Matthew Mimiaga
Matthew J. Mimiaga
Epidemiology
Read Faculty Profile
Faculty/staff profile placeholder image
Roberta Malmgren
Epidemiology
Read Faculty Profile
Elizabeth Rose Mayeda photo
Elizabeth Rose Mayeda
Epidemiology
Read Faculty Profile
Dr. Jin Zhou
Jin Zhou
Biostatistics
Read Faculty Profile
Faculty/staff profile placeholder image
Ondine S. von Ehrenstein
Community Health Sciences Epidemiology
Read Faculty Profile
Dr. Weng Kee Wong
Weng Kee Wong
Biostatistics
Read Faculty Profile
Dr. Robert Erin Weiss
Robert Erin Weiss
Biostatistics
Read Faculty Profile
Abdelmonem Afifi
Abdelmonem A. Afifi
Biostatistics
Read Faculty Profile
Andrew Holbrook
Andrew Holbrook
Biostatistics
Read Faculty Profile
Sander Greenland
Sander Greenland
Epidemiology
Read Faculty Profile
Faculty/staff profile placeholder image
Teresa Ellen Seeman
Epidemiology
Read Faculty Profile
Sung-Jae Lee
Sung-Jae Lee
Epidemiology
Read Faculty Profile
Naomi Greene
Naomi Greene
Epidemiology
Read Faculty Profile
Li, Jingyi Jessica
Jingyi Jessica Li
Biostatistics
Read Faculty Profile
DerSarkissian, Maral
Maral DerSarkissian
Epidemiology
Read Faculty Profile
Susan Cochran
Susan Cochran
Epidemiology
Read Faculty Profile
Julia Heck
Julia Heck
Epidemiology
Read Faculty Profile
Faculty/staff profile placeholder image
Jørn Olsen
Epidemiology
Read Faculty Profile
Catherine Ann Sugar
Catherine Ann Sugar
Biostatistics
Read Faculty Profile
Karin Michels
Karin B. Michels
Epidemiology
Read Faculty Profile
Jason H. Moore, Ph.D.
Jason H. Moore

Automated and accessible artificial intelligence methods and software for biomedical data science.

Biostatistics
Read Faculty Profile
Ximena Vergara
Ximena Vergara
Epidemiology
Read Faculty Profile
Alexandra Binder Headshot
Alexandra Binder
Epidemiology
Read Faculty Profile
Marissa J. Seamans
Marissa Seamans
Epidemiology
Read Faculty Profile
Faculty/staff profile placeholder image
Noel Weiss
Epidemiology
Read Faculty Profile
Faculty/staff profile placeholder image
Hyun J. Grace Kim
Biostatistics
Read Faculty Profile
Aziz, Najib headshot_2023
Najib Aziz
Epidemiology
Read Faculty Profile
Haroutune Armenian
Haroutune Armenian
Epidemiology
Read Faculty Profile
Anne Coleman
Anne Coleman
Epidemiology
Read Faculty Profile
Headshot
Damla Senturk
Biostatistics
Read Faculty Profile
Headshot
Christie Jeon
Epidemiology
Read Faculty Profile
Su Yong Jung
Su Yon Jung
Epidemiology
Read Faculty Profile
Jian Li
Jian Li
Environmental Health Sciences Epidemiology
Read Faculty Profile
Dr. Marc Suchard
Marc Suchard
Biostatistics
Read Faculty Profile
Xiaowu Dai headshot
Xiaowu Dai
Biostatistics
Read Faculty Profile
Faculty/staff profile placeholder image
Catherine Carpenter
Epidemiology
Read Faculty Profile
Dr. Paul Hsu
Paul Hsu
Epidemiology
Read Faculty Profile
Paul Simon Headshot
Paul Simon
Epidemiology
Read Faculty Profile
Faculty/staff profile placeholder image
N/A
Epidemiology
Read Faculty Profile
Faculty/staff profile placeholder image
Dallas Swendeman
Epidemiology
Read Faculty Profile
Roch Nianogo
Roch A. Nianogo
Epidemiology
Read Faculty Profile
Faculty/staff profile placeholder image
David Elashoff
Biostatistics
Read Faculty Profile
Faculty/staff profile placeholder image
Vonthanak Saphonn
Epidemiology
Read Faculty Profile
Ralph R. Frerichs, 12/25/21
Ralph R. Frerichs
Epidemiology
Read Faculty Profile
Dr. Liwei Chen
Liwei Chen

Professor in Epidemiology

Epidemiology
Read Faculty Profile
Faculty/staff profile placeholder image
William G. Cumberland
Biostatistics
Read Faculty Profile
Onyebuchi Arah headshot
Onyebuchi A. Arah
Epidemiology
Read Faculty Profile
Hashibe, Mia
Mia Hashibe
Epidemiology
Read Faculty Profile
Hua Zhou
Hua Zhou
Biostatistics
Read Faculty Profile
Ron Brookmeyer
Ron Brookmeyer
Biostatistics
Read Faculty Profile
Kamyar Kalantar-Zadeh
Kamyar Kalantar-Zadeh
Epidemiology
Read Faculty Profile
Akihiro Nishi Headshot
Akihiro Nishi
Epidemiology
Read Faculty Profile
Tony Kuo
Tony Kuo
Epidemiology
Read Faculty Profile
Dr. Brian Bradbury
Brian Bradbury
Epidemiology
Read Faculty Profile
Faculty/staff profile placeholder image
Peter R. Kerndt
Epidemiology
Read Faculty Profile
Catherine M. Crespi headshot
Catherine M. Crespi
Biostatistics
Read Faculty Profile
Dr. Shira Shafir
Shira Shafir
Community Health Sciences Epidemiology
Read Faculty Profile
Faculty/staff profile placeholder image
Honghu Liu
Biostatistics
Read Faculty Profile
Dr. Dorota Dabrowska
Dorota M. Dabrowska
Biostatistics
Read Faculty Profile
Dr. Timothy Brewer
Timothy Brewer
Epidemiology
Read Faculty Profile
Sudipto Banerjee
Sudipto Banerjee
Biostatistics
Read Faculty Profile
Dr. Roger Detels
Roger Detels
Epidemiology
Read Faculty Profile
Faculty/staff profile placeholder image
David Gjertson
Biostatistics
Read Faculty Profile

Related Content

close-up of virus
November 24, 2020
Research helps identify high-risk populations to aid health officials combating the pandemic

A team of UCLA Fielding School of Public Health researchers has developed a method to better guide public policy related to the control and prevention of COVID-19, based on identifying those most at risk in the pandemic.

Source: Epidemics Volume 33, December 2020 Read Full Article