Estimation of parameters in a structured SIR model

Advances in Continuous and Discrete Models

Theory and Modern Applications

Table 2 Observed dataset of SIR individuals in a population.

k	Observed SIR data at time k , ob ( k ): \(\boldsymbol {(S_{1}(k),I_{1}(k),R_{1}(k),S_{2}(k),I_{2}(k),R_{2}(k),S_{3}(k),I_{3}(k),R_{3}(k))}\)
k = 1	(66,701, 1,680, 74, 15,075, 986, 67, 4,400, 964, 53)
k = 2	(66,398, 1,522, 140, 15,442, 886, 126, 4,505, 881, 100)
k = 3	(66,090, 1,385, 198, 15,798, 796, 176, 4,615, 797, 145)
k = 4	(65,778, 1,256, 248, 16,141, 717, 220, 4,723, 738, 179)
k = 5	(65,466, 1,144, 295, 16,476, 642, 260, 4,835, 670, 212)
k = 6	(65,152, 1,040, 336, 16,791, 584, 294, 4,947, 615, 241)
k = 7	(64,836, 960, 370, 17,105, 516, 326, 5,066, 544, 277)
k = 8	(64,521, 870, 400, 17,408, 474, 347, 5,185, 505, 290)
k = 9	(64,210, 772, 429, 17,705, 447, 368, 5,310, 450, 309)
k = 10	(63,892, 721, 449, 17,981, 395, 386, 5,439, 410, 327)
k = 11	(63,580, 665, 468, 18,264, 353, 401, 5,543, 384, 342)
k = 12	(63,269, 620, 484, 18,529, 292, 415, 5,679, 358, 354)
k = 13	(62,960, 545, 498, 18,800, 268, 425, 5,808, 331, 365)
k = 14	(62,645, 510, 509, 19,043, 260, 430, 5,930, 301, 372)
k = 15	(62,351, 459, 519, 19,298, 218, 440, 6,067, 266, 382)