Aug162004

figure 14.3 A smoothly varying (and entirely fictitious) level of influenza in the population over a three-year period.The (sadly overcrowded) holiday labels will be relevant when we simulate the effects of holidays.

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DEC-24-2001 MAY-11-2002 SEP-26-2002 FEB-11-2003 JUN-29-2003 NOV-14-2003 MAR-31-2004 AUG-16-2004 figure 14.4 Simulating the number of people with respiratory complaints who seek health care.

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DEC-24-2001 MAY-11-2002 SEP-26-2002 FEB-11-2003 JUN-29-2003 NOV-14-2003 MAR-31-2004 AUG-16-2004 figure 14.4 Simulating the number of people with respiratory complaints who seek health care.

Figure 14.5 is the baseline data to which our ramp outbreak was added in Figure 14.2. It has both the coarse and fine-grain properties of real univariate biosurveillance data.

Why use simulated data in this chapter? The answer is a take-home lesson in one of the issues of data privacy. Since we will be looking at specific numbers in the data in detail, and since we will make the data publicly available for readers who would like to manipulate it them themselves, it would be a violation of the spirit and letter of data use agreements to provide a real time series.

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