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Research Article

Evaluating Precision of a Trachomatous Trichiasis (TT) Super Survey with Modulating Sample Sizes in Tanzania

, , , , , , , , & show all
Pages 394-400 | Received 16 Oct 2020, Accepted 27 Jun 2021, Published online: 11 Aug 2021

Figures & data

Table 1. Baseline TT survey results.

Figure 1. Distribution of first-stage village data points in Babati DC and Mbulu DC.

Figure 1. Distribution of first-stage village data points in Babati DC and Mbulu DC.

Figure 2. Distribution of first-stage village data points in Iringa DC, Kilolo DC, and Mufindi DC.

Figure 2. Distribution of first-stage village data points in Iringa DC, Kilolo DC, and Mufindi DC.

Table 2. Opportunity 1, 2018 unknown to the health system prevalence estimates.

Figure 3. Opportunity 1 distribution of super EU unknown to the health system bootstrap results with modulating sample sizes. Dashed lines represent 95% confidence intervals and the red dashed lines represent the mean; solid lines represent the elimination threshold of 0.2%.

Figure 3. Opportunity 1 distribution of super EU unknown to the health system bootstrap results with modulating sample sizes. Dashed lines represent 95% confidence intervals and the red dashed lines represent the mean; solid lines represent the elimination threshold of 0.2%.

Table 3. Opportunity 1, 2018 super EU unknown to the health system prevalence estimates with modulating sample sizes.

Table 4. Opportunity 2, 2018 prevalence estimates.

Figure 4. Opportunity 2 distribution of super EU unknown to the health system bootstrap results with modulating sample sizes. Dashed lines represent 95% confidence intervals and the red dashed lines represent the mean; solid lines represent the elimination threshold of 0.2%.

Figure 4. Opportunity 2 distribution of super EU unknown to the health system bootstrap results with modulating sample sizes. Dashed lines represent 95% confidence intervals and the red dashed lines represent the mean; solid lines represent the elimination threshold of 0.2%.

Table 5. Opportunity 2 super EU prevalence estimates with modulating sample sizes.