FIGURE 2. Expected pattern of spread of an uncontrolled epidemic.
From the following article:
Strategies for containing an emerging influenza pandemic in Southeast Asia
Neil M. Ferguson, Derek A.T. Cummings, Simon Cauchemez, Christophe Fraser, Steven Riley, Aronrag Meeyai, Sopon Iamsirithaworn and Donald S. Burke
Nature 437, 209-214 (8 September 2005)
doi: 10.1038/nature04017

a, Time sequence (in days) of an epidemic, showing spreading in a single simulation of an epidemic with R0 = 1.5. Red indicates presence of infected individuals, green the density of people who have recovered from infection or died. b, Daily incidence of infection over time for R0 = 1.5 in the absence of control measures. Thick blue line represents average for realizations resulting in a large epidemic, grey shading represents 95% confidence limits of the incidence time series. Multiple coloured thin lines show a sample of realizations, illustrating a large degree of stochastic variability. c, Root mean square (r.m.s.) distance from the seed infective for individuals infected since the start of the epidemic as a function of time. Thick blue line represents average distance for realizations resulting in a large epidemic, grey shading represents 95% limits. d, Proportion of the population infected by age for R0 = 1.5, averaged across realizations that result in large epidemics. The infection attack rate is 33% for R0 = 1.5 and 50% for R0 = 1.8. e, Distribution of the number of secondary cases per primary case during the exponential growth phase of a R0 = 1.5 epidemic. Between 50 and 1,000 realizations were used to calculate all averages (see Supplementary Information).
