TABLE 3.

The mean and standard deviation of the true positive tests, true negative tests, false negative tests, false positive tests, the missing cases who are not tested, the total number of positive tests and the test positive rate in the population, using the test allocation strategy determined by the proposed surveillance mode and alternative allocation methods

	True positive	True negative	False negative	False positive	Missing cases	Total no of positive	Positive rate
	Mean (SD)	Mean (SD)	Mean (SD)	Mean (SD)	Mean (SD)	Mean (SD)	Mean (SD)
Surveillance	2086	99098	905	1003	7027	3088	0.03
	(43.9)	(314.8)	(31.4)	(29.8)	(78.8)	(52.4)	(5e‐04)
Risk‐based	3175	193456	1366	1951	5476	5126	0.02
	(56.2)	(435.5)	(39.3)	(41.7)	(72.3)	(69.7)	(3e‐04)
Symptom‐based	3244	193386	1398	1952	5376	5195	0.03
	(57.8)	(392.1)	(40.0)	(41.5)	(73)	(74.2)	(4e‐04)
Severe‐only	938	196642	408	1985	8672	2922	0.01
	(29.7)	(396.3)	(20.7)	(42.4)	(88.8)	(48.8)	(2e‐04)
Universal random	175	197719	75	1996	9768	2171	0.01
	(12.3)	(397.4)	(9.0)	(42.5)	(92.8)	(42.7)	(2e‐04)
Detecting mode	3314	193262	1423	1951	5281	5264	0.03
	(61.4)	(419.7)	(40.9)	(44.6)	(71.5)	(76.4)	(4e‐04)

Note: The assumed number of true infected cases near the peak of the pandemic is 10 000, and the population is 8 million. The test false negative rate $\beta$ is 0.3 and the test positive rate $\alpha$ is 0.01. Results are based on 100 repetitions. The probability for a person of being asymptomatic after being infected is 0.55 (${\bar{t}}_a$).