Table:
first tuberculosis-related hospitalization after landing

number
incidence adjusted for person-years
95% confidence interval

from
to

all
1,015
5.2
4.8
5.5

age at hospitalization

0 to 17 years
65
1.5
0.8
2.1

18 to 24 years
175
3.4
2.5
4.2

25 to 34 years
270
7.1
6.1
8.0

35 to 44 years
165
5.8
5.0
6.5

45 to 64 years
190
3.4
3.2
3.9

65 years and older
145
11.3
9.8
12.8

sex

male
535
5.6
5.1
6.1

female
480
4.7
4.3
5.2

landing year

2000 to 2003
415
4.5
4.1
5.0

2004 to 2008
410
5.3
4.8
5.8

2009 to 2013
195
6.8
5.9
7.8

country risk level

low
30
0.6
0.3
0.8

high
985
6.8
6.3
7.2

who
785
6.9
6.4
7.4

ircc-specific
200
6.2
5.4
7.2

top 12 source countries for tuberculosis hospitalizations in canada

india
245
8.5
7.4
9.6

philippines
175
10.6
9.1
12.4

china
70
2.1
1.6
2.7

ethiopia
65
51.1
39.7
65.7

pakistan
45
3.8
2.8
5.2

somalia
45
42.8
31.3
58.5

sri lanka
30
7.4
5.1
10.6

afghanistan
35
14.8
10.4
21.0

viet nam
30
17.5
12.1
25.1

nepal
25
42.4
27.8
64.1

sudan
30
24.3
16.5
35.7

bangladesh
25
8.2
5.2
12.6

all others
205
2.2
1.9
2.5

intended region of residence

atlantic
20
4.7
2.9
7.5

ontario
635
5.0
4.6
5.4

prairies
220
8.0
7.0
9.2

british columbia
140
3.7
3.1
4.3

immigrant category

economic, principal applicants
140
3.1
2.6
3.6

economic, spouse/children
175
2.5
2.1
2.9

family
390
7.1
6.4
7.8

refugee
290
13.5
12.0
15.2

other/unknown/missing
20
5.6
3.5
8.9

Can you extract the data from these specific rows or columns in the table provided?
the 28th row,
the 26th row,
the 2nd column,
the 15th row,
the 1st row,

Output the cell values in each row or column as JSON in the format {"row_id/column_id":"<row or column index>", "cell_list":"<a list of cells in this row/column>"}, e.g., {"column_id":"3", "cell_list": ["123.89", "News gathering", "selected tools"]}.

The extracted row or column contents are listed below.
For the 28th row: {"row_id": "28", "cell_list": ['ethiopia', '65', '51.1', '39.7', '65.7']}
For the 26th row: {"row_id": "26", "cell_list": ['philippines', '175', '10.6', '9.1', '12.4']}
For the 2nd column: {"column_id": "2", "cell_list": ['first tuberculosis-related hospitalization after landing', 'number', '', '1,015', '', '65', '175', '270', '165', '190', '145', '', '535', '480', '', '415', '410', '195', '', '30', '985', '785', '200', '', '245', '175', '70', '65', '45', '45', '30', '35', '30', '25', '30', '25', '205', '', '20', '635', '220', '140', '', '140', '175', '390', '290', '20']}
For the 15th row: {"row_id": "15", "cell_list": ['landing year', '', '', '', '']}
For the 1st row: {"row_id": "1", "cell_list": ['', 'first tuberculosis-related hospitalization after landing', '', '', '']}