Spatial Spread of Tuberculosis through Neighborhoods Segregated by Socioeconomic Position: A Stochastic Automata Model

Table 1

Treatment scenarios and resulting number of deaths and number of people infected by type of area after 240 months.

Scenarios; Percentage of people treated in each set of treatments	Deaths		Total number of; infected people		Number of infected; people in high density; areas		Number of infected; people in medium; density areas		Number of infected people; in low density areas
Delay in diagnosis	6 mo	3 mo	6 mo	3 mo	6 mo	3 mo	6 mo	3 mo	6 mo	3 mo
(1) 0% general; 0% targeted	4 (3)	4 (2)	574 (170)	560 (146)	440 (147)	428 (138)	109 (55)	110 (61)	20 (15)	19 (17)
(2) 40% general; 40% targeted	0 (0)	0 (1)	56 (14)	32 (8)	43 (12)	25 (7)	11 (7)	5 (3)	2 (1)	2 (1)
(3) 40% general; 90% targeted	0 (0)	0 (0)	44 (12)	27 (6)	33 (9)	20 (5)	9 (6)	5 (2)	2 (1)	2 (1)
(4) 70% general; 70% targeted	0 (0)	0 (0)	46 (13)	22 (6)	36 (11)	17 (4)	8 (5)	4 (2)	2 (1)	2 (1)
(5) 70% general; 90% targeted	0 (0)	0 (0)	48 (13)	22 (4)	37 (12)	17 (3)	8 (5)	3 (1)	2 (1)	2 (1)
(6) 0% general; 90% targeted	1 (1)	0 (1)	140 (62)	135 (73)	35 (11)	20 (10)	85 (57)	89 (67)	18 (17)	25 (27)