In the event of a bioterror attack, rapidly estimating thesize and time of attack enables short-run forecasts of thenumber of persons who will be symptomatic and requiremedical care. We present a Bayesian approach to thisproblem for use in real time and illustrate it with data froma simulated anthrax attack. The method is simple enoughto be implemented in a spreadsheet
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