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Fig 1.

Schematic of the integration of the geospatial model with the cost model to determine the optimized placement of POC instruments.

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Table 1.

Modelled scenarios.

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Table 1 Expand

Table 2.

Key cost parameters and related assumptions.

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Table 2 Expand

Table 3.

ART facilities and POC candidate facilities.

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Table 3 Expand

Fig 2.

Illustration of the location of the 337 POC candidates (pink) relative to centralized laboratories, facilities reached through the STN and the unreached facilities that were not considered candidates for POC instrument placement.

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Fig 2 Expand

Table 4.

Cost per viral load test by scenario for the hardest-to-reach patients.

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Table 4 Expand