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Table 1.

Multiscale model parameter values.

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Table 1 Expand

Table 2.

Immune system parameter values.

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Table 2 Expand

Fig 1.

Variation of the variables for no treatment case with s = 1.3×104, c = 22.3, R0 = 0.733.

Hence R0<1 and E0 is stable. E0 = {1.3×106,0,0,0,0,0}. T0 = 0.6×107, I0 = 100, P0 = 400, V0 = 50, Z0 = 20, W0 = 20.

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Fig 1 Expand

Fig 2.

Variation of the variables for no treatment case with s = 68225, c = 82.3, R0 = 1.043, A1 = 1.05, A2 = 1.049, A3 = 1.02, and A4 = 1.07.

Hence 1<R0<min(A1,A2) and E1 is stable. E1 = {6.54×106, 20108, 86603, 8608,0,0}. T0 = 0.9×107, I0 = 100, P0 = 100, V0 = 100, Z0 = 20, W0 = 20.

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Fig 2 Expand

Fig 3.

Variation of the variables for no treatment case with s = 1.3×105, c = 22.3, R0 = 7.33, A1 = 1.005, A2 = 1.18 A3 = 36.08, and A4 = 0.204.

Hence A1<R0<A3 and E2 is stable. E2 = {1.29×107, 4620, 19897, 1000, 0,70}. T0 = 0.9×107, I0 = 100, P0 = 100, V0 = 100, Z0 = 20, W0 = 20.

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Fig 3 Expand

Fig 4.

Variation of the variables for no treatment case with s = 1.3×105, c = 82.3, R0 = 1.99, A1 = 1.05, A2 = 1.049, A3 = 1.021, and A4 = 2.036.

Hence A2<R0<A4 and E3 is stable. E3 = {1.24×107, 22727, 98191, 9759, 197,0}. T0 = 1.9×107, I0 = 100, P0 = 100, V0 = 100, Z0 = 20, W0 = 20.

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Fig 4 Expand

Fig 5.

Variation of the variables for no treatment case with s = 1.3×106, c = 22.3, R0 = 73.35, A1 = 1.005, A2 = 1.18, A3 = 36.08 and A4 = 2.036.

Hence R0max(A3, A4) and E4 is stable. E4 = {1.29×108, 22727, 98236, 1000, 226, 391}. T0 = 0.9×108, I0 = 2000, P0 = 200, V0 = 200, Z0 = 200, W0 = 250.

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Fig 5 Expand

Fig 6.

Variation of the variables for medical treatment case with R0 = 0.733.

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Fig 6 Expand

Fig 7.

Variation of the variables for medical treatment case with R0 = 1.043.

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Fig 7 Expand

Fig 8.

Variation of the variables for medical treatment case with R0 = 0.733.

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Fig 8 Expand

Fig 9.

Variation of the variables for medical treatment case with R0 = 1.99.

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Fig 9 Expand

Fig 10.

Variation of the variables for medical treatment case with R0 = 73.35.

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Fig 10 Expand

Fig 11.

Variation of the variables for the transformed model for no treatment case with s = 1.3×104, c = 22.3, R0 = 0.733.

Hence R0<1 and E0 is stable. E0 = {1.3×106,0,0,0}. T0 = 0.6×107, I0 = 100, P0 = 400, V0 = 50.

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Fig 11 Expand

Fig 12.

Variation of the variables for the transformed model for no treatment case with s = 68225, c = 82.3, R0 = 1.043.

Hence R0>1 and E1 is stable. E1 = {6.54×106, 20108, 86603, 8608}. T0 = 0.9×107,I0 = 100, P0 = 100, V0 = 100.

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Fig 12 Expand

Fig 13.

Variation of the variables for transformed model for medical treatment case with R0 = 0.733.

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Fig 13 Expand

Fig 14.

Variation of the variables for the transformed model for medical treatment case with R0 = 1.043.

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Fig 14 Expand