Mask or no mask for COVID-19: A public health and market study
Efficient strategies to contain the coronavirus disease 2019 (COVID-19) pandemic are peremptory to relieve the negatively impacted public health and global economy, with the full scope yet to unfold. In the absence of highly effective drugs, vaccines, and abundant medical resources, many measures ar...
Gespeichert in:
Veröffentlicht in: | PloS one 2020-08, Vol.15 (8), p.e0237691-e0237691 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | e0237691 |
---|---|
container_issue | 8 |
container_start_page | e0237691 |
container_title | PloS one |
container_volume | 15 |
creator | Li, Tom Liu, Yan Li, Man Qian, Xiaoning Dai, Susie Y |
description | Efficient strategies to contain the coronavirus disease 2019 (COVID-19) pandemic are peremptory to relieve the negatively impacted public health and global economy, with the full scope yet to unfold. In the absence of highly effective drugs, vaccines, and abundant medical resources, many measures are used to manage the infection rate and avoid exhausting limited hospital resources. Wearing masks is among the non-pharmaceutical intervention (NPI) measures that could be effectively implemented at a minimum cost and without dramatically disrupting social practices. The mask-wearing guidelines vary significantly across countries. Regardless of the debates in the medical community and the global mask production shortage, more countries and regions are moving forward with recommendations or mandates to wear masks in public. Our study combines mathematical modeling and existing scientific evidence to evaluate the potential impact of the utilization of normal medical masks in public to combat the COVID-19 pandemic. We consider three key factors that contribute to the effectiveness of wearing a quality mask in reducing the transmission risk, including the mask aerosol reduction rate, mask population coverage, and mask availability. We first simulate the impact of these three factors on the virus reproduction number and infection attack rate in a general population. Using the intervened viral transmission route by wearing a mask, we further model the impact of mask-wearing on the epidemic curve with increasing mask awareness and availability. Our study indicates that wearing a face mask can be effectively combined with social distancing to flatten the epidemic curve. Wearing a mask presents a rational way to implement as an NPI to combat COVID-19. We recognize our study provides a projection based only on currently available data and estimates potential probabilities. As such, our model warrants further validation studies. |
doi_str_mv | 10.1371/journal.pone.0237691 |
format | Article |
fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2434364288</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A632507563</galeid><doaj_id>oai_doaj_org_article_dc7f61b732884806a01b07d33654b033</doaj_id><sourcerecordid>A632507563</sourcerecordid><originalsourceid>FETCH-LOGICAL-c692t-19520bd052f45ea7ba89eb53f07e66dafa1658f90117b0a57df98f19abb03b353</originalsourceid><addsrcrecordid>eNqNkl1v0zAUhiMEYmPwDxBEQkJw0eKP2E52MakqX5WGKvGxW8uO7dadG5fYQezf45BsatAuUC5y5DznPe9x3ix7DsEcYgbf7XzXNsLND77Rc4AwoxV8kJ3CCqMZRQA_PKpPsich7AAguKT0cXaCEasYoOw0u_giwnXu27zx-b4vTaqX66vV-xmszvNFfuiks3W-1cLFbS4albD2Wsc8xE7dPM0eGeGCfja-z7IfHz98X36eXa4_rZaLy1lNKxSTFEFAKkCQKYgWTIqy0pJgA5imVAkjICWlqQCETAJBmDJVaWAlpARYYoLPspeD7sH5wMfVA0cFLjAtUFkmYjUQyosdP7Q22bzhXlj-98C3Gy7aaGunuaqZoVAynPqKElABoARMYUxJkebhpHUxTuvkXqtaN7EVbiI6_dLYLd_4X5wlK5DRJPBmFGj9z06HyPc21No50WjfDb6LEiHa-371D3r_diO1EWkB2xif5ta9KF9QjAhghPa-5_dQ6VF6b-uUE2PT-aTh7aQhMVH_jhvRhcBX377-P7u-mrKvj9ghO8G7LlrfhClYDGDd-hBabe4uGQLex_z2Nngfcz7GPLW9OP5Bd023ucZ_AKPD81o</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2434364288</pqid></control><display><type>article</type><title>Mask or no mask for COVID-19: A public health and market study</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Public Library of Science (PLoS)</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Li, Tom ; Liu, Yan ; Li, Man ; Qian, Xiaoning ; Dai, Susie Y</creator><contributor>Thavorn, Kednapa</contributor><creatorcontrib>Li, Tom ; Liu, Yan ; Li, Man ; Qian, Xiaoning ; Dai, Susie Y ; Thavorn, Kednapa</creatorcontrib><description>Efficient strategies to contain the coronavirus disease 2019 (COVID-19) pandemic are peremptory to relieve the negatively impacted public health and global economy, with the full scope yet to unfold. In the absence of highly effective drugs, vaccines, and abundant medical resources, many measures are used to manage the infection rate and avoid exhausting limited hospital resources. Wearing masks is among the non-pharmaceutical intervention (NPI) measures that could be effectively implemented at a minimum cost and without dramatically disrupting social practices. The mask-wearing guidelines vary significantly across countries. Regardless of the debates in the medical community and the global mask production shortage, more countries and regions are moving forward with recommendations or mandates to wear masks in public. Our study combines mathematical modeling and existing scientific evidence to evaluate the potential impact of the utilization of normal medical masks in public to combat the COVID-19 pandemic. We consider three key factors that contribute to the effectiveness of wearing a quality mask in reducing the transmission risk, including the mask aerosol reduction rate, mask population coverage, and mask availability. We first simulate the impact of these three factors on the virus reproduction number and infection attack rate in a general population. Using the intervened viral transmission route by wearing a mask, we further model the impact of mask-wearing on the epidemic curve with increasing mask awareness and availability. Our study indicates that wearing a face mask can be effectively combined with social distancing to flatten the epidemic curve. Wearing a mask presents a rational way to implement as an NPI to combat COVID-19. We recognize our study provides a projection based only on currently available data and estimates potential probabilities. As such, our model warrants further validation studies.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0237691</identifier><identifier>PMID: 32797067</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Aerosols ; Availability ; Betacoronavirus ; Computer simulation ; Coronavirus Infections - prevention & control ; Coronavirus Infections - transmission ; Coronavirus Infections - virology ; Coronaviruses ; COVID-19 ; Disease control ; Disease transmission ; Disease Transmission, Infectious - prevention & control ; Epidemics ; Equipment and supplies ; Exhausting ; Global economy ; Health aspects ; Health risks ; Humans ; Infection control ; Infection Control - methods ; Infections ; Influenza ; Masks ; Masks - supply & distribution ; Masks - virology ; Mathematical models ; Medicine and Health Sciences ; Methods ; Middle East respiratory syndrome ; Minimum cost ; Models, Theoretical ; Pandemics ; Pandemics - prevention & control ; Physical Sciences ; Plant pathology ; Pneumonia, Viral - prevention & control ; Pneumonia, Viral - transmission ; Pneumonia, Viral - virology ; Population ; Prevention ; Protective equipment ; Public health ; Public health administration ; Respiratory diseases ; SARS-CoV-2 ; Severe acute respiratory syndrome coronavirus 2 ; Software ; Vaccines ; Viral diseases ; Viruses</subject><ispartof>PloS one, 2020-08, Vol.15 (8), p.e0237691-e0237691</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Li et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 Li et al 2020 Li et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-19520bd052f45ea7ba89eb53f07e66dafa1658f90117b0a57df98f19abb03b353</citedby><cites>FETCH-LOGICAL-c692t-19520bd052f45ea7ba89eb53f07e66dafa1658f90117b0a57df98f19abb03b353</cites><orcidid>0000-0002-5747-9222</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7428176/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7428176/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,725,778,782,862,883,2098,2917,23853,27911,27912,53778,53780,79355,79356</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32797067$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Thavorn, Kednapa</contributor><creatorcontrib>Li, Tom</creatorcontrib><creatorcontrib>Liu, Yan</creatorcontrib><creatorcontrib>Li, Man</creatorcontrib><creatorcontrib>Qian, Xiaoning</creatorcontrib><creatorcontrib>Dai, Susie Y</creatorcontrib><title>Mask or no mask for COVID-19: A public health and market study</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Efficient strategies to contain the coronavirus disease 2019 (COVID-19) pandemic are peremptory to relieve the negatively impacted public health and global economy, with the full scope yet to unfold. In the absence of highly effective drugs, vaccines, and abundant medical resources, many measures are used to manage the infection rate and avoid exhausting limited hospital resources. Wearing masks is among the non-pharmaceutical intervention (NPI) measures that could be effectively implemented at a minimum cost and without dramatically disrupting social practices. The mask-wearing guidelines vary significantly across countries. Regardless of the debates in the medical community and the global mask production shortage, more countries and regions are moving forward with recommendations or mandates to wear masks in public. Our study combines mathematical modeling and existing scientific evidence to evaluate the potential impact of the utilization of normal medical masks in public to combat the COVID-19 pandemic. We consider three key factors that contribute to the effectiveness of wearing a quality mask in reducing the transmission risk, including the mask aerosol reduction rate, mask population coverage, and mask availability. We first simulate the impact of these three factors on the virus reproduction number and infection attack rate in a general population. Using the intervened viral transmission route by wearing a mask, we further model the impact of mask-wearing on the epidemic curve with increasing mask awareness and availability. Our study indicates that wearing a face mask can be effectively combined with social distancing to flatten the epidemic curve. Wearing a mask presents a rational way to implement as an NPI to combat COVID-19. We recognize our study provides a projection based only on currently available data and estimates potential probabilities. As such, our model warrants further validation studies.</description><subject>Aerosols</subject><subject>Availability</subject><subject>Betacoronavirus</subject><subject>Computer simulation</subject><subject>Coronavirus Infections - prevention & control</subject><subject>Coronavirus Infections - transmission</subject><subject>Coronavirus Infections - virology</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Disease control</subject><subject>Disease transmission</subject><subject>Disease Transmission, Infectious - prevention & control</subject><subject>Epidemics</subject><subject>Equipment and supplies</subject><subject>Exhausting</subject><subject>Global economy</subject><subject>Health aspects</subject><subject>Health risks</subject><subject>Humans</subject><subject>Infection control</subject><subject>Infection Control - methods</subject><subject>Infections</subject><subject>Influenza</subject><subject>Masks</subject><subject>Masks - supply & distribution</subject><subject>Masks - virology</subject><subject>Mathematical models</subject><subject>Medicine and Health Sciences</subject><subject>Methods</subject><subject>Middle East respiratory syndrome</subject><subject>Minimum cost</subject><subject>Models, Theoretical</subject><subject>Pandemics</subject><subject>Pandemics - prevention & control</subject><subject>Physical Sciences</subject><subject>Plant pathology</subject><subject>Pneumonia, Viral - prevention & control</subject><subject>Pneumonia, Viral - transmission</subject><subject>Pneumonia, Viral - virology</subject><subject>Population</subject><subject>Prevention</subject><subject>Protective equipment</subject><subject>Public health</subject><subject>Public health administration</subject><subject>Respiratory diseases</subject><subject>SARS-CoV-2</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Software</subject><subject>Vaccines</subject><subject>Viral diseases</subject><subject>Viruses</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNkl1v0zAUhiMEYmPwDxBEQkJw0eKP2E52MakqX5WGKvGxW8uO7dadG5fYQezf45BsatAuUC5y5DznPe9x3ix7DsEcYgbf7XzXNsLND77Rc4AwoxV8kJ3CCqMZRQA_PKpPsich7AAguKT0cXaCEasYoOw0u_giwnXu27zx-b4vTaqX66vV-xmszvNFfuiks3W-1cLFbS4albD2Wsc8xE7dPM0eGeGCfja-z7IfHz98X36eXa4_rZaLy1lNKxSTFEFAKkCQKYgWTIqy0pJgA5imVAkjICWlqQCETAJBmDJVaWAlpARYYoLPspeD7sH5wMfVA0cFLjAtUFkmYjUQyosdP7Q22bzhXlj-98C3Gy7aaGunuaqZoVAynPqKElABoARMYUxJkebhpHUxTuvkXqtaN7EVbiI6_dLYLd_4X5wlK5DRJPBmFGj9z06HyPc21No50WjfDb6LEiHa-371D3r_diO1EWkB2xif5ta9KF9QjAhghPa-5_dQ6VF6b-uUE2PT-aTh7aQhMVH_jhvRhcBX377-P7u-mrKvj9ghO8G7LlrfhClYDGDd-hBabe4uGQLex_z2Nngfcz7GPLW9OP5Bd023ucZ_AKPD81o</recordid><startdate>20200814</startdate><enddate>20200814</enddate><creator>Li, Tom</creator><creator>Liu, Yan</creator><creator>Li, Man</creator><creator>Qian, Xiaoning</creator><creator>Dai, Susie Y</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>COVID</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-5747-9222</orcidid></search><sort><creationdate>20200814</creationdate><title>Mask or no mask for COVID-19: A public health and market study</title><author>Li, Tom ; Liu, Yan ; Li, Man ; Qian, Xiaoning ; Dai, Susie Y</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-19520bd052f45ea7ba89eb53f07e66dafa1658f90117b0a57df98f19abb03b353</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Aerosols</topic><topic>Availability</topic><topic>Betacoronavirus</topic><topic>Computer simulation</topic><topic>Coronavirus Infections - prevention & control</topic><topic>Coronavirus Infections - transmission</topic><topic>Coronavirus Infections - virology</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>Disease control</topic><topic>Disease transmission</topic><topic>Disease Transmission, Infectious - prevention & control</topic><topic>Epidemics</topic><topic>Equipment and supplies</topic><topic>Exhausting</topic><topic>Global economy</topic><topic>Health aspects</topic><topic>Health risks</topic><topic>Humans</topic><topic>Infection control</topic><topic>Infection Control - methods</topic><topic>Infections</topic><topic>Influenza</topic><topic>Masks</topic><topic>Masks - supply & distribution</topic><topic>Masks - virology</topic><topic>Mathematical models</topic><topic>Medicine and Health Sciences</topic><topic>Methods</topic><topic>Middle East respiratory syndrome</topic><topic>Minimum cost</topic><topic>Models, Theoretical</topic><topic>Pandemics</topic><topic>Pandemics - prevention & control</topic><topic>Physical Sciences</topic><topic>Plant pathology</topic><topic>Pneumonia, Viral - prevention & control</topic><topic>Pneumonia, Viral - transmission</topic><topic>Pneumonia, Viral - virology</topic><topic>Population</topic><topic>Prevention</topic><topic>Protective equipment</topic><topic>Public health</topic><topic>Public health administration</topic><topic>Respiratory diseases</topic><topic>SARS-CoV-2</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Software</topic><topic>Vaccines</topic><topic>Viral diseases</topic><topic>Viruses</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Tom</creatorcontrib><creatorcontrib>Liu, Yan</creatorcontrib><creatorcontrib>Li, Man</creatorcontrib><creatorcontrib>Qian, Xiaoning</creatorcontrib><creatorcontrib>Dai, Susie Y</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Tom</au><au>Liu, Yan</au><au>Li, Man</au><au>Qian, Xiaoning</au><au>Dai, Susie Y</au><au>Thavorn, Kednapa</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mask or no mask for COVID-19: A public health and market study</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2020-08-14</date><risdate>2020</risdate><volume>15</volume><issue>8</issue><spage>e0237691</spage><epage>e0237691</epage><pages>e0237691-e0237691</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Efficient strategies to contain the coronavirus disease 2019 (COVID-19) pandemic are peremptory to relieve the negatively impacted public health and global economy, with the full scope yet to unfold. In the absence of highly effective drugs, vaccines, and abundant medical resources, many measures are used to manage the infection rate and avoid exhausting limited hospital resources. Wearing masks is among the non-pharmaceutical intervention (NPI) measures that could be effectively implemented at a minimum cost and without dramatically disrupting social practices. The mask-wearing guidelines vary significantly across countries. Regardless of the debates in the medical community and the global mask production shortage, more countries and regions are moving forward with recommendations or mandates to wear masks in public. Our study combines mathematical modeling and existing scientific evidence to evaluate the potential impact of the utilization of normal medical masks in public to combat the COVID-19 pandemic. We consider three key factors that contribute to the effectiveness of wearing a quality mask in reducing the transmission risk, including the mask aerosol reduction rate, mask population coverage, and mask availability. We first simulate the impact of these three factors on the virus reproduction number and infection attack rate in a general population. Using the intervened viral transmission route by wearing a mask, we further model the impact of mask-wearing on the epidemic curve with increasing mask awareness and availability. Our study indicates that wearing a face mask can be effectively combined with social distancing to flatten the epidemic curve. Wearing a mask presents a rational way to implement as an NPI to combat COVID-19. We recognize our study provides a projection based only on currently available data and estimates potential probabilities. As such, our model warrants further validation studies.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>32797067</pmid><doi>10.1371/journal.pone.0237691</doi><tpages>e0237691</tpages><orcidid>https://orcid.org/0000-0002-5747-9222</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2020-08, Vol.15 (8), p.e0237691-e0237691 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_2434364288 |
source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS); PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Aerosols Availability Betacoronavirus Computer simulation Coronavirus Infections - prevention & control Coronavirus Infections - transmission Coronavirus Infections - virology Coronaviruses COVID-19 Disease control Disease transmission Disease Transmission, Infectious - prevention & control Epidemics Equipment and supplies Exhausting Global economy Health aspects Health risks Humans Infection control Infection Control - methods Infections Influenza Masks Masks - supply & distribution Masks - virology Mathematical models Medicine and Health Sciences Methods Middle East respiratory syndrome Minimum cost Models, Theoretical Pandemics Pandemics - prevention & control Physical Sciences Plant pathology Pneumonia, Viral - prevention & control Pneumonia, Viral - transmission Pneumonia, Viral - virology Population Prevention Protective equipment Public health Public health administration Respiratory diseases SARS-CoV-2 Severe acute respiratory syndrome coronavirus 2 Software Vaccines Viral diseases Viruses |
title | Mask or no mask for COVID-19: A public health and market study |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-16T00%3A55%3A21IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Mask%20or%20no%20mask%20for%20COVID-19:%20A%20public%20health%20and%20market%20study&rft.jtitle=PloS%20one&rft.au=Li,%20Tom&rft.date=2020-08-14&rft.volume=15&rft.issue=8&rft.spage=e0237691&rft.epage=e0237691&rft.pages=e0237691-e0237691&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0237691&rft_dat=%3Cgale_plos_%3EA632507563%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2434364288&rft_id=info:pmid/32797067&rft_galeid=A632507563&rft_doaj_id=oai_doaj_org_article_dc7f61b732884806a01b07d33654b033&rfr_iscdi=true |