Table 1.

For random design RS with sample size of 100, we show the sample size needed to achieve a similar accuracy using an adaptive design AS.

Country	$\Vert {\mathcal{A}}_i\Vert$	Num. obsv.		Accuracy (%)		PPV (%)		Sensitivity (%)		MSE ($\times {10}^{-4}$)
		RS	AS	RS	AS	RS	AS	RS	AS	RS	AS
Côte d’Ivoire	1	100	27	85.2	85.3	64.9	78.6	64.8	65.1	17.3	20.5
	10	100	30	85.0	85.3	78.6	78.7	64.7	65.2	16.5	20.4
	50	100	50	85.1	85.5	79.2	78.6	64.3	65.5	17.7	20.0
Malawi	1	100	36	81.8	81.9	80.8	80.6	59.9	59.4	14.0	14.9
	10	100	40	81.6	82.0	79.5	80.5	60.8	59.7	14.1	15.0
	50	100	50	82.1	82.1	80.3	80.3	61.9	60.4	13.8	14.5
Haiti	1	100	31	82.4	82.6	70.3	75.7	43.0	35.0	1.0	1.4
	10	100	30	81.5	81.6	71.7	71.0	38.9	36.4	1.0	1.5
	50	100	50	81.5	82.3	70.8	70.5	38.1	39.8	0.9	1.5
Philippines	1	100	7	95.2	95.2	93.7	94.4	69.7	67.7	2.5	4.3
	10	100	10	95.1	95.2	94.1	93.6	68.9	68.6	2.3	5.1
	50	100	50	95.2	95.6	94.6	85.0	68.9	79.8	2.7	5.5

Additional validation statistics: PPV, sensitivity and MSE are also shown. Along the rows, results are shown per country and batch size $\Vert {\mathcal{A}}_i\Vert$.