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The model produces 19 true positives and 99 false positives. True positives are calculated from the 20 diseased individuals using the $95\%$ sensitivity, while false positives are calculated from the 1,980 healthy individuals using the $5\%$ false positive rate (derived from $95\%$ specificity).

Conditions: Population size is 2,000.; Prevalence is $1\%$ (20 diseased, 1,980 healthy).; Sensitivity is $95\%$.; Specificity is $95\%$.

The model produces 19 true positives and 99 false positives. True positives are calculated from the 20 diseased individuals using the $95\%$ sensitivity, while false positives are calculated from the 1,980 healthy individuals using the $5\%$ false positive rate (derived from $95\%$ specificity).

Conditions: Population size is 2,000.; Prevalence is $1\%$ (20 diseased, 1,980 healthy).; Sensitivity is $95\%$.; Specificity is $95\%$.