Impact of a borderless sample transport network for scaling up viral load monitoring: results of a geospatial optimization model for Zambia.

An efficient STN that optimizes sample transport on the basis of geography and test volume, rather than political boundaries, can cut the cost of sample transport by more than half, providing a cost savings opportunity for countries that face significant resource constraints.