For systems 2E2SFCA System two three 4 five X 0.05 0.05 0.05 0.067 Optimization (AE) Technique two 3 4 five X 0.067 0.057 0.071 0.067 Y

For systems 2E2SFCA Program two 3 four five X 0.05 0.05 0.05 0.067 Optimization (AE) Method two three four five X 0.067 0.057 0.071 0.067 Y 0.067 0.057 0.071 Y1 = 0.067 Y2 = 0.05 Z 0.067 0.057 0.0571 0.05 Y 0.1 0.0833 0.1056 Y1 = 0.067 Y2 = 0.05 Z 0.05 0.0333 0.0444 0.05 M2SFCA X 0.04 0.04 0.04 0.053 Optimization (AM) X 0.053 0.046 0.0571 0.053 Y 0.053 0.046 0.0571 Y1 = 0.053 Y2 = 0.04 Z 0.053 0.046 0.0366 0.04 Y 0.08 0.0667 0.0844 Y1 = 0.053 Y2 = 0.04 Z 0.04 0.0267 0.0284 0.size (e.g., can serve 1500 Ary, in the ambulatory setting in the United states of america, Modak et visits a year); the exact number might be changed and the relative Services Investigation (2015) 15:Page 5 ofFig. 1 System 1, with populations 100 at place X and comparisons in between approaches will hold. A summary histogram is supplied for distance, congestion and coverage for each and every county in Extra file 1 section six.For systems 2E2SFCA Program two three 4 five X 0.05 0.05 0.05 0.067 Optimization (AE) System two 3 4 5 X 0.067 0.057 0.071 0.067 Y 0.067 0.057 0.071 Y1 = 0.067 Y2 = 0.05 Z 0.067 0.057 0.0571 0.05 Y 0.1 0.0833 0.1056 Y1 = 0.067 Y2 = 0.05 Z 0.05 0.0333 0.0444 0.05 M2SFCA X 0.04 0.04 0.04 0.053 Optimization (AM) X 0.053 0.046 0.0571 0.053 Y 0.053 0.046 0.0571 Y1 = 0.053 Y2 = 0.04 Z 0.053 0.046 0.0366 0.04 Y 0.08 0.0667 0.0844 Y1 = 0.053 Y2 = 0.04 Z 0.04 0.0267 0.0284 0.size (e.g., can serve 1500 visits a year); the exact quantity is usually changed and the relative comparisons between strategies will hold. Accessibility measures have been calculated for E2FSCA, M2SFCA, along with the decentralized (with user option) optimization model. The optimization model was implemented utilizing C++ plus the CPLEX solver on a UNIX system (see Further file two). The decay functions are such that 10 visits are going to be created when distance is zero, and visits strategy zero when distance is 150 miles; see precise functions in section 7 in More file 1: Table S4. There are various functions which will be made use of title= j.neuron.2016.04.018 to model the decaying willingness of travel. We have selected to work with the exponential function for the rare illness setting of Cystic Fibrosis. For the reason that CF is uncommon and access to care is fairly low when compared with main care, individuals are willing to travel longer distances than for some situations. The parameter utilized inside the case study was calibrated to become in line with realized utilization derived from the CF registry data (see section 7 in More file 1: Figure S12). For the optimization model, a congestion weight of ten is applied unless otherwise specified (see Added file 1 section 1).