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record_id
string
scenario
string
year
int64
month
int64
in_pollen_season
int64
setting
string
age
int64
sex
string
is_child
int64
temp_c
float64
rainfall_mm
float64
pollen_count
float64
dominant_allergen
string
urbanization_index
float64
air_pollution_index
float64
family_history
int64
sensitized
int64
allergic_rhinitis
int64
asthma
int64
eczema
int64
conjunctivitis
int64
food_allergy
int64
any_allergic_condition
int64
asthma_severity
string
sneezing
int64
nasal_congestion
int64
wheeze
int64
itchy_eyes
int64
skin_rash
int64
symptom_score
float64
treatment_available
int64
antihistamine_use
int64
inhaler_use
int64
er_visit
int64
school_work_days_lost
int64
quality_of_life
float64
TRO-00000
tropical_urban_expansion
2,022
8
0
rural
40
male
0
24.7
1,445
25
grass
0.55
0.5
0
0
0
0
0
0
0
0
none
0
0
0
0
0
0
0
0
0
0
0
0.75
TRO-00001
tropical_urban_expansion
2,021
6
0
urban
44
female
0
26.9
1,277
38
grass
0.7
0.55
0
0
0
0
0
0
0
0
none
0
0
0
0
0
0
0
0
0
0
0
0.73
TRO-00002
tropical_urban_expansion
2,020
12
0
rural
6
male
1
26.3
1,481
32
grass
0.75
0.57
1
1
0
0
0
0
0
0
none
0
0
0
0
0
0
0
0
0
0
0
0.74
TRO-00003
tropical_urban_expansion
2,012
6
0
peri_urban
40
female
0
27.2
1,457
39
tree
0.75
0.52
0
1
0
0
0
1
0
1
none
0
0
0
1
0
0.2
0
0
0
0
1
0.71
TRO-00004
tropical_urban_expansion
2,016
6
0
urban
19
male
0
25
1,570
23
tree
0.71
0.56
0
0
0
0
0
1
0
1
none
0
0
0
0
0
0
0
0
0
0
0
0.72
TRO-00005
tropical_urban_expansion
2,014
10
1
rural
19
female
0
25.7
1,328
67
mould
0.75
0.41
0
0
1
0
0
0
0
1
none
1
1
0
0
0
0.4
0
0
0
0
0
0.64
TRO-00006
tropical_urban_expansion
2,010
3
1
urban
30
male
0
25
1,176
64
tree
0.48
0.44
1
0
0
0
1
0
0
1
none
0
0
0
0
0
0
0
0
0
0
0
0.69
TRO-00007
tropical_urban_expansion
2,014
6
0
urban
18
male
0
27.6
1,773
32
grass
0.53
0.28
0
0
0
0
0
1
0
1
none
0
0
0
1
0
0.2
1
0
0
0
0
0.72
TRO-00008
tropical_urban_expansion
2,022
12
0
rural
31
female
0
27.9
1,171
37
grass
0.5
0.3
0
0
0
0
0
0
0
0
none
0
0
0
0
0
0
0
0
0
0
0
0.78
TRO-00009
tropical_urban_expansion
2,011
4
1
peri_urban
27
female
0
24.6
1,978
227
grass
0.6
0.58
0
1
1
0
0
0
0
1
none
1
1
0
0
0
0.4
1
0
0
0
0
0.68
TRO-00010
tropical_urban_expansion
2,021
10
1
urban
19
female
0
24.7
1,411
106
grass
0.77
0.61
0
0
0
1
0
0
0
1
mild
0
0
1
0
0
0.2
0
0
0
0
2
0.67
TRO-00011
tropical_urban_expansion
2,010
7
0
urban
13
female
1
22.6
1,343
14
mould
0.92
0.61
0
0
0
0
0
0
0
0
none
0
0
0
0
0
0
0
0
0
0
0
0.81
TRO-00012
tropical_urban_expansion
2,011
11
0
peri_urban
30
female
0
25.5
1,314
42
grass
0.6
0.45
1
1
1
1
1
0
0
1
mild
1
1
0
0
0
0.4
1
1
1
0
0
0.73
TRO-00013
tropical_urban_expansion
2,017
1
0
urban
7
female
1
28.7
1,568
5
mould
0.7
0.43
0
0
0
0
0
0
0
0
none
0
0
0
0
0
0
0
0
0
0
0
0.67
TRO-00014
tropical_urban_expansion
2,016
9
1
urban
19
male
0
28.8
2,005
30
tree
0.61
0.46
0
0
0
0
0
0
0
0
none
0
0
0
0
0
0
0
0
0
0
0
0.76
TRO-00015
tropical_urban_expansion
2,022
8
0
peri_urban
26
male
0
30.5
988
42
mould
0.66
0.59
1
0
1
0
0
0
0
1
none
1
0
0
0
0
0.2
0
0
0
0
1
0.65
TRO-00016
tropical_urban_expansion
2,011
7
0
urban
43
female
0
22.3
1,507
31
weed
0.84
0.44
0
1
1
1
0
0
0
1
moderate
1
0
0
0
0
0.2
0
0
0
0
0
0.69
TRO-00017
tropical_urban_expansion
2,012
8
0
urban
40
male
0
27.7
1,919
19
mould
0.67
0.57
0
0
0
0
0
0
0
0
none
0
0
0
0
0
0
1
0
0
0
0
0.85
TRO-00018
tropical_urban_expansion
2,020
7
0
urban
2
male
1
24
1,122
37
mould
0.68
0.4
0
0
0
0
1
0
0
1
none
0
0
0
0
0
0
1
0
0
0
0
0.82
TRO-00019
tropical_urban_expansion
2,014
1
0
urban
28
male
0
27
1,582
26
grass
0.75
0.39
0
0
0
1
0
0
0
1
moderate
0
0
0
0
0
0
1
1
1
0
0
0.8
TRO-00020
tropical_urban_expansion
2,021
7
0
rural
15
female
0
25.8
1,275
42
dust_mite
0.48
0.42
0
1
0
0
0
1
0
1
none
0
0
0
0
0
0
0
0
0
0
0
0.76
TRO-00021
tropical_urban_expansion
2,020
8
0
peri_urban
30
female
0
27.1
883
46
weed
0.78
0.6
0
0
0
1
0
0
0
1
mild
0
0
0
0
0
0
0
0
0
0
0
0.76
TRO-00022
tropical_urban_expansion
2,016
11
0
peri_urban
7
male
1
27.3
2,078
47
tree
0.69
0.48
0
0
0
0
0
0
0
0
none
0
0
0
0
0
0
0
0
0
0
0
0.76
TRO-00023
tropical_urban_expansion
2,021
3
1
rural
34
female
0
27.6
1,127
170
mould
0.73
0.62
1
1
1
1
0
0
1
1
moderate
0
1
1
0
0
0.4
0
0
0
1
3
0.61
TRO-00024
tropical_urban_expansion
2,020
2
0
urban
26
male
0
30
1,521
40
grass
0.76
0.68
0
0
0
0
0
0
0
0
none
0
0
0
0
0
0
0
0
0
0
0
0.76
TRO-00025
tropical_urban_expansion
2,017
9
1
urban
9
female
1
29.1
852
175
tree
0.79
0.38
1
1
0
0
0
0
0
0
none
0
0
0
0
0
0
1
0
0
0
0
0.77
TRO-00026
tropical_urban_expansion
2,018
11
0
rural
33
female
0
33.1
1,370
25
tree
0.53
0.32
0
0
1
0
0
0
0
1
none
1
1
0
0
0
0.4
1
0
0
0
1
0.64
TRO-00027
tropical_urban_expansion
2,010
5
1
urban
10
female
1
24.4
1,868
195
weed
0.69
0.32
0
0
0
1
0
0
0
1
moderate
0
0
0
0
0
0
0
0
0
0
0
0.76
TRO-00028
tropical_urban_expansion
2,021
12
0
urban
2
male
1
26.9
1,218
42
tree
0.44
0.4
0
1
0
0
0
0
1
1
none
0
0
0
0
0
0
0
0
0
0
0
0.77
TRO-00029
tropical_urban_expansion
2,012
9
1
peri_urban
2
female
1
26
951
168
grass
0.58
0.56
0
1
0
0
1
0
0
1
none
0
0
0
0
0
0
1
0
0
0
0
0.85
TRO-00030
tropical_urban_expansion
2,023
11
0
peri_urban
20
male
0
27.5
1,010
39
grass
0.47
0.44
0
0
0
0
0
0
0
0
none
0
0
0
0
0
0
0
0
0
0
0
0.75
TRO-00031
tropical_urban_expansion
2,023
4
1
urban
22
male
0
25.2
1,606
166
tree
0.67
0.6
0
0
0
0
0
0
0
0
none
0
0
0
0
0
0
0
0
0
0
0
0.76
TRO-00032
tropical_urban_expansion
2,018
12
0
peri_urban
29
male
0
24.7
1,693
35
mould
0.7
0.55
0
0
0
0
0
0
0
0
none
0
0
0
0
0
0
0
0
0
0
0
0.74
TRO-00033
tropical_urban_expansion
2,013
9
1
peri_urban
48
female
0
26.9
1,510
110
grass
0.38
0.26
1
1
1
0
0
0
1
1
none
1
1
0
0
0
0.4
1
0
0
0
0
0.7
TRO-00034
tropical_urban_expansion
2,016
3
1
urban
36
female
0
28
1,326
51
grass
0.73
0.51
0
0
0
0
0
0
0
0
none
0
0
0
0
0
0
0
0
0
0
0
0.77
TRO-00035
tropical_urban_expansion
2,010
5
1
urban
32
male
0
29.4
1,334
137
grass
0.74
0.61
1
0
1
0
0
0
1
1
none
0
0
0
0
0
0
1
0
0
0
0
0.77
TRO-00036
tropical_urban_expansion
2,014
3
1
urban
57
female
0
30.8
1,078
182
weed
0.7
0.62
0
0
1
1
0
1
0
1
moderate
0
0
1
0
0
0.2
0
0
0
1
0
0.66
TRO-00037
tropical_urban_expansion
2,013
12
0
peri_urban
4
male
1
27.8
2,029
43
grass
0.68
0.51
0
0
0
1
0
0
0
1
moderate
0
0
1
0
0
0.2
0
0
0
0
1
0.66
TRO-00038
tropical_urban_expansion
2,019
7
0
peri_urban
45
female
0
27.7
965
25
tree
0.63
0.43
0
0
1
0
0
0
0
1
none
0
1
0
0
0
0.2
1
0
0
0
1
0.68
TRO-00039
tropical_urban_expansion
2,021
5
1
rural
25
female
0
31
465
167
tree
0.51
0.38
0
0
1
0
0
1
0
1
none
1
0
0
0
0
0.2
0
0
0
0
0
0.79
TRO-00040
tropical_urban_expansion
2,019
5
1
peri_urban
19
male
0
30.3
1,411
155
grass
0.69
0.55
0
0
1
1
0
0
0
1
mild
1
1
1
0
0
0.6
0
0
0
1
3
0.51
TRO-00041
tropical_urban_expansion
2,014
5
1
urban
23
female
0
28.6
1,732
57
dust_mite
0.52
0.43
0
0
1
0
0
0
0
1
none
1
1
0
0
0
0.4
0
0
0
0
2
0.58
TRO-00042
tropical_urban_expansion
2,016
2
0
peri_urban
50
female
0
33.2
1,321
11
grass
0.52
0.35
0
0
0
0
0
0
0
0
none
0
0
0
0
0
0
0
0
0
0
0
0.79
TRO-00043
tropical_urban_expansion
2,014
10
1
urban
11
female
1
26.6
1,342
247
tree
0.7
0.5
1
1
0
0
0
1
0
1
none
0
0
0
1
0
0.2
0
0
0
0
0
0.72
TRO-00044
tropical_urban_expansion
2,023
1
0
peri_urban
44
male
0
27.1
1,518
5
mould
0.21
0.09
1
0
0
1
0
0
0
1
moderate
0
0
0
0
0
0
1
0
0
0
0
0.8
TRO-00045
tropical_urban_expansion
2,010
4
1
rural
20
male
0
30.3
1,412
103
weed
0.68
0.56
0
0
0
0
0
0
0
0
none
0
0
0
0
0
0
0
0
0
0
0
0.76
TRO-00046
tropical_urban_expansion
2,020
12
0
urban
2
female
1
27.2
1,231
43
mould
0.87
0.72
0
0
0
0
0
0
0
0
none
0
0
0
0
0
0
0
0
0
0
0
0.74
TRO-00047
tropical_urban_expansion
2,017
11
0
urban
30
female
0
27.1
1,665
36
grass
0.82
0.55
0
0
0
0
0
1
0
1
none
0
0
0
0
0
0
0
0
0
0
0
0.76
TRO-00048
tropical_urban_expansion
2,018
7
0
rural
2
male
1
28
1,766
48
tree
0.59
0.49
0
0
0
0
0
0
0
0
none
0
0
0
0
0
0
0
0
0
0
0
0.77
TRO-00049
tropical_urban_expansion
2,020
9
1
urban
11
female
1
29.4
1,066
168
weed
0.63
0.48
0
0
1
0
0
0
0
1
none
1
1
0
0
0
0.4
0
0
0
0
1
0.63
TRO-00050
tropical_urban_expansion
2,015
6
0
rural
23
female
0
25.2
1,320
6
grass
0.68
0.61
0
0
0
1
0
0
0
1
severe
0
0
0
0
0
0
1
0
1
0
0
0.63
TRO-00051
tropical_urban_expansion
2,018
10
1
peri_urban
27
female
0
31.1
1,953
168
dust_mite
0.8
0.67
0
1
0
0
0
0
0
0
none
0
0
0
0
0
0
0
0
0
0
0
0.78
TRO-00052
tropical_urban_expansion
2,021
9
1
urban
21
male
0
28.2
1,797
115
tree
0.53
0.45
1
0
0
1
0
0
0
1
mild
0
0
0
0
0
0
0
0
0
0
0
0.74
TRO-00053
tropical_urban_expansion
2,022
10
1
urban
22
female
0
28.2
1,413
135
weed
0.86
0.43
1
1
0
1
1
1
0
1
moderate
0
0
1
0
1
0.4
0
0
0
0
3
0.59
TRO-00054
tropical_urban_expansion
2,013
6
0
urban
2
female
1
25.8
2,260
57
grass
0.61
0.37
0
0
0
0
0
0
0
0
none
0
0
0
0
0
0
0
0
0
0
0
0.76
TRO-00055
tropical_urban_expansion
2,015
8
0
peri_urban
12
male
1
28
918
25
weed
0.72
0.52
0
0
0
1
0
0
0
1
moderate
0
0
1
0
0
0.2
1
1
0
0
0
0.72
TRO-00056
tropical_urban_expansion
2,015
5
1
urban
61
male
0
30.2
1,229
117
mould
0.33
0.19
1
0
1
0
0
0
0
1
none
0
1
0
0
0
0.2
0
0
0
0
0
0.67
TRO-00057
tropical_urban_expansion
2,019
5
1
rural
16
female
0
25
1,430
158
tree
0.65
0.54
1
1
0
0
0
0
0
0
none
0
0
0
0
0
0
0
0
0
0
0
0.74
TRO-00058
tropical_urban_expansion
2,024
9
1
urban
40
female
0
26
1,506
93
grass
0.74
0.54
1
1
0
0
0
0
0
0
none
0
0
0
0
0
0
0
0
0
0
0
0.72
TRO-00059
tropical_urban_expansion
2,024
5
1
peri_urban
34
male
0
31.6
1,269
172
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TRO-00060
tropical_urban_expansion
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30.1
849
85
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TRO-00061
tropical_urban_expansion
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TRO-00062
tropical_urban_expansion
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TRO-00063
tropical_urban_expansion
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TRO-00064
tropical_urban_expansion
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TRO-00065
tropical_urban_expansion
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TRO-00066
tropical_urban_expansion
2,017
8
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21
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29
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33
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TRO-00067
tropical_urban_expansion
2,017
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0
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65
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TRO-00068
tropical_urban_expansion
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1
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TRO-00069
tropical_urban_expansion
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TRO-00070
tropical_urban_expansion
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1
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TRO-00071
tropical_urban_expansion
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TRO-00072
tropical_urban_expansion
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TRO-00073
tropical_urban_expansion
2,014
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1
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TRO-00074
tropical_urban_expansion
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TRO-00075
tropical_urban_expansion
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TRO-00076
tropical_urban_expansion
2,010
11
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28
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TRO-00077
tropical_urban_expansion
2,023
11
0
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33
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27.4
851
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dust_mite
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TRO-00078
tropical_urban_expansion
2,016
8
0
rural
32
female
0
24
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TRO-00079
tropical_urban_expansion
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0
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TRO-00080
tropical_urban_expansion
2,016
12
0
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8
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1
26.5
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39
grass
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TRO-00081
tropical_urban_expansion
2,015
7
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urban
21
female
0
28.3
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TRO-00082
tropical_urban_expansion
2,015
5
1
peri_urban
61
female
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988
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TRO-00083
tropical_urban_expansion
2,024
7
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urban
28
female
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tree
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1
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0.68
TRO-00084
tropical_urban_expansion
2,012
2
0
urban
24
male
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27.2
1,257
31
grass
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TRO-00085
tropical_urban_expansion
2,024
12
0
peri_urban
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female
0
29.9
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40
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TRO-00086
tropical_urban_expansion
2,020
5
1
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10
male
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28
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tree
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TRO-00087
tropical_urban_expansion
2,023
5
1
urban
21
female
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weed
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TRO-00088
tropical_urban_expansion
2,010
4
1
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181
tree
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TRO-00089
tropical_urban_expansion
2,024
6
0
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38
grass
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TRO-00090
tropical_urban_expansion
2,015
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0
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male
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TRO-00091
tropical_urban_expansion
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TRO-00092
tropical_urban_expansion
2,020
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TRO-00093
tropical_urban_expansion
2,015
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0
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weed
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TRO-00094
tropical_urban_expansion
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TRO-00095
tropical_urban_expansion
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TRO-00096
tropical_urban_expansion
2,015
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1
urban
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28.9
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TRO-00097
tropical_urban_expansion
2,014
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TRO-00098
tropical_urban_expansion
2,023
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30.2
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dust_mite
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TRO-00099
tropical_urban_expansion
2,010
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0
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27.4
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mould
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End of preview. Expand in Data Studio

Pollen & Allergic Disease in Sub-Saharan Africa

Abstract

A synthetic dataset modelling pollen exposure and allergic disease across three climatic scenarios in SSA. Climate change extends pollen seasons, increases pollen counts via CO2 fertilization, and interacts with urbanization-driven air pollution to amplify allergic sensitization. ISAAC studies report allergic rhinitis prevalence of 10-25% and asthma 7-12% across African cities.

Scenarios

  • Tropical Urban Expansion: Rapidly urbanizing coastal cities with high air pollution synergy.
  • Sahel Arid Greening: Sahel re-greening zones with emerging grass/weed pollen exposure.
  • Highland Temperate: East African highlands with extended tree/grass pollen seasons.

Dataset Structure

Each scenario contains 10,000 records (30,000 total). Key columns:

  • year, month, in_pollen_season, setting, age, sex
  • temp_c, rainfall_mm, pollen_count, dominant_allergen
  • urbanization_index, air_pollution_index
  • family_history, sensitized
  • allergic_rhinitis, asthma, eczema, conjunctivitis, food_allergy
  • asthma_severity, symptom flags, symptom_score
  • treatment_available, antihistamine_use, inhaler_use, er_visit
  • school_work_days_lost, quality_of_life

Parameterization Evidence

Parameter Value Used Source Year
Allergic rhinitis 10-25% in African cities Prevalence baseline ISAAC Phase III 2012
Asthma 7-12% in SSA children Asthma rates Ait-Khaled et al. 2007
CO2 increases pollen production 30-90% CO2 fertilization effect Ziska et al. 2019
Urbanization amplifies allergic sensitization Urban-rural gradient Platts-Mills et al. 2015

Validation Summary

Validation Report

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/pollen-allergic-disease", name="tropical_urban_expansion")
df = ds["train"].to_pandas()
print(df.groupby("in_pollen_season")["allergic_rhinitis"].mean())

Limitations

  • Synthetic data: Not from aeroallergen monitoring or clinical registries.
  • Simplified pollen model: Count modeled stochastically, not from phenological models.
  • No spatial geocoding: Scenarios proxy geography.

References

  1. ISAAC Phase III. Worldwide trends in asthma and allergic rhinitis. Thorax, 2012.
  2. Ait-Khaled N, et al. Prevalence of asthma symptoms in Africa. Int J Tuberc Lung Dis, 2007.
  3. Ziska LH, et al. Temperature-related changes in pollen allergenicity. Curr Allergy Asthma Rep, 2019.
  4. Platts-Mills TAE. The allergy epidemics. JACI, 2015.

Citation

@dataset{electricsheepafrica_pollen_allergic_disease_2025,
  title={Pollen and Allergic Disease in Sub-Saharan Africa},
  author={Electric Sheep Africa},
  year={2025},
  publisher={HuggingFace},
  url={https://huggingface.co/datasets/electricsheepafrica/pollen-allergic-disease}
}

License

CC-BY-4.0

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