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Volume 9, Number 2—February 2003
Research

Applying Network Theory to Epidemics: Control Measures for Mycoplasma pneumoniae Outbreaks

Lauren Ancel Meyers*†Comments to Author , M.E.J. Newman*‡, Michael Martin§, and Stephanie Schrag§
Author affiliations: *Santa Fe Institute, Santa Fe, New Mexico, USA; †University of Texas at Austin, Austin, Texas, USA; ‡University of Michigan, Ann Arbor, Michigan, USA; §Centers for Disease Control and Prevention, Atlanta, Georgia, USA

Main Article

Figure 4

Epidemic thresholds. Each line assumes a different value for μc(the average number of wards per caregiver), and graphs the combination of τc and τw(transmission parameters) above which the population crosses the epidemic threshold. From top to bottom, the lines represent μc= 1, μc= 2, μc= 3, μc= 4, and μc= 5 .

Figure 4. . Epidemic thresholds. Each line assumes a different value for μc(the average number of wards per caregiver), and graphs the combination of τc and τw(transmission parameters) above which the population crosses the epidemic threshold. From top to bottom, the lines represent μc= 1, μc= 2, μc= 3, μc= 4, and μc= 5 .

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Main Article

1We calculate these rates by averaging the fraction of infected patients per ward across the 15 wards and compute the error by taking the standard deviation of these fractions, divided by the square root of the sample size.

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