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. 2009 Dec 8;6(12):e1000207. doi: 10.1371/journal.pmed.1000207

Table 1. Detection probabilities and their prior distributions.

Detection Probability Components Distributions Rationale
dM Medically attended illness dM 1 probability of testing, follow-up, and reporting among medically attended patients Uniform (0.2,0.35) Data from CDC epi-aids in Delaware and Chicago [19]
dM  =  dM 1 dM 2 dM 2 PCR test sensitivity Uniform (0.95,1) Assumption [19]
dHW Hospitalization (Milwaukee) dHW1 probability of testing, follow-up, and reporting among hospitalized patients Uniform (0.2,0.4) Assumption [19]
dHW  =  dHW 1 dHW 2 dHW 2 PCR test sensitivity Uniform (0.95,1) Assumption [19]
dIW ICU admission (Milwaukee) dIW 1 probability of testing, follow-up and reporting among hospitalized patients Uniform (0.2,0.4) Assumption [19]
dIW  =  dIW 1 dIW 2 Inline graphic PCR test sensitivity Uniform (0.95,1) Assumption [19]
dDW Deaths (Milwaukee) PCR test sensitivity and other detection Beta (45,5) Assumption [19] (mean 0.9, standard deviation 0.05)
dHW Hospitalization (New York City) dHN 1 probability of performing PCR (rapid A positive or ICU/ventilated) 0.27+0.73 (Uniform (0.2,0.71)) 27% of cases were ICU-admitted so received PCR test; remainder were tested if rapid A positive, which has a sensitivity of 0.2 [17] to 0.71 (sensitivity among ICU patients in NYC)
dHN  =  dHN 1 dHN 2 dHN 2 PCR test sensitivity Uniform (0.95,1) Assumption [19]
dIN ICU/ventilation (New York City) PCR test sensitivity Uniform (0.95,1) Assumption [19]
dDN Deaths (New York City) PCR test sensitivity and other detection Beta (45,5) Assumption [19] (mean 0.9, standard deviation 0.05)