{{scenario}}

Number tested:

10,000
100,000
1 million
10 million
100 million

Infection rate:

(0–100) %

1%
5%
10%
25%
50%
75%
90%
95%
99%

False positive probability:

(0–100) %

0.5%
1%
2.5%
5%
10%
25%
50%

False negative probability:

(0–100) %

0.5%
1%
2.5%
5%
10%
25%
50%

Test Results

Positive

Negative

Total

Infected

{{count_infected_positive.toFixed()}}
{{percent_positive_given_infected.toFixed(1)}}	{{percent_infected_given_positive.toFixed(1)}}	{{percent_infected_positive.toFixed(1)}}

{{count_infected_negative.toFixed()}}
{{percent_negative_given_infected.toFixed(1)}}	{{percent_infected_given_negative.toFixed(1)}}	{{percent_infected_negative.toFixed(1)}}

{{count_infected.toFixed()}}

{{Number(percent_infected).toFixed(1)}}

Not infected

{{count_not_infected_positive.toFixed()}}
{{percent_positive_given_not_infected.toFixed(1)}}	{{percent_not_infected_given_positive.toFixed(1)}}	{{percent_not_infected_positive.toFixed(1)}}

{{count_not_infected_negative.toFixed()}}
{{percent_negative_given_not_infected.toFixed(1)}}	{{percent_not_infected_given_negative.toFixed(1)}}	{{percent_not_infected_negative.toFixed(1)}}

{{count_not_infected.toFixed()}}

{{percent_not_infected.toFixed(1)}}

Total

{{count_positive.toFixed()}}

{{percent_positive.toFixed(1)}}

{{count_negative.toFixed()}}

{{percent_negative.toFixed(1)}}

Assumptions:

Infection rate = {{percent_infected}}%
False positive probability = {{false_positive_probability}}%
False negative probability = {{false_negative_probability}}%

Notes:

See accompanying discussion on false positives and false negatives for additional context.
Row, column, and table percentages are displayed as x, y, and z, respectively.
Totals may not add up to 100 due to rounding.

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