Mathematical Modeling of the Effectiveness of Facemasks in Reducing the Spread of Novel Influenza A (H1N1)
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Decisions Applications Division. Energy and Infrastructure Analsysis Group; Capital Univ., Columbus, OH (United States). Dept. of Mathematics, Computer Science and Physics; DOE/OSTI
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Decisions Applications Division. Energy and Infrastructure Analsysis Group
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Theoretical Div. Mathematical Modeling and Analysis Group
On June 11, 2009, the World Health Organization declared the outbreak of novel influenza A (H1N1) a pandemic. With limited supplies of antivirals and vaccines, countries and individuals are looking at other ways to reduce the spread of pandemic (H1N1) 2009, particularly options that are cost effective and relatively easy to implement. Recent experiences with the 2003 SARS and 2009 H1N1 epidemics have shown that people are willing to wear facemasks to protect themselves against infection; however, little research has been done to quantify the impact of using facemasks in reducing the spread of disease. We construct and analyze a mathematical model for a population in which some people wear facemasks during the pandemic and quantify impact of these masks on the spread of influenza. To estimate the parameter values used for the effectiveness of facemasks, we used available data from studies on N95 respirators and surgical facemasks. The results show that if N95 respirators are only 20% effective in reducing susceptibility and infectivity, only 10% of the population would have to wear them to reduce the number of influenza A (H1N1) cases by 20%. We can conclude from our model that, if worn properly, facemasks are an effective intervention strategy in reducing the spread of pandemic (H1N1) 2009.
- Research Organization:
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Biological and Environmental Research (BER). Biological Systems Science Division
- Grant/Contract Number:
- AC52-06NA25396
- OSTI ID:
- 1627395
- Journal Information:
- PLoS ONE, Journal Name: PLoS ONE Journal Issue: 2 Vol. 5; ISSN 1932-6203
- Publisher:
- Public Library of ScienceCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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