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Datasets:
electricsheepafrica
/
laboratory-workforce-training

Tasks:
Tabular Classification
Modalities:
Tabular
Text
Formats:
csv
Languages:
English
Size:
10K - 100K
Tags:
laboratory
workforce
training
human-resources
retention
Synthetic
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
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Community
Dataset Viewer
Auto-converted to Parquet Duplicate
id
int64
age
int64
sex
string
facility_level
string
location
string
cadre
string
qualified_for_role
int64
highest_qualification
string
years_experience
int64
registered_professional_body
int64
cpd_last_year
int64
cpd_hours_year
int64
slmta_trained
int64
biosafety_trained
int64
eqa_trained
int64
competency_assessed
int64
position_filled
int64
supervision_regular
int64
workload_manageable
int64
salary_adequate
int64
salary_on_time
int64
housing_provided
int64
transport_allowance
int64
intend_to_stay_5yr
int64
emigration_intention
int64
transfer_request
int64
job_satisfaction_score
int64
mentorship_available
int64
career_pathway_clear
int64
promotion_last_5yr
int64
tests_per_day
int64
overtime_hours_week
int64
year
int64
1
41
male
private
rural
lab_technologist
0
certificate
24
0
1
15
0
0
0
0
1
1
0
1
0
0
0
1
0
0
3
0
0
1
98
3
2,022
2
33
male
district
peri_urban
lab_technologist
1
certificate
7
0
0
0
0
0
0
0
1
0
0
0
1
0
0
1
0
0
5
0
0
0
58
1
2,019
3
29
male
health_centre
rural
lab_assistant
0
certificate
4
0
1
14
0
0
0
1
0
0
0
0
0
0
0
1
0
0
3
1
0
0
63
4
2,020
4
42
male
district
peri_urban
lab_assistant
0
degree
4
0
0
0
0
0
0
0
1
0
0
0
1
0
0
1
1
0
4
0
0
0
82
7
2,021
5
38
female
health_centre
urban
lab_technician
1
certificate
7
1
1
40
0
0
0
0
1
1
0
0
0
0
1
1
0
0
4
0
0
0
53
2
2,021
6
36
female
private
urban
lab_technician
1
certificate
2
0
0
0
0
1
0
1
0
0
0
0
0
0
0
0
1
0
3
0
0
0
63
5
2,023
7
39
female
private
remote
lab_technician
0
certificate
22
0
0
0
1
0
0
0
0
1
0
1
1
0
0
1
0
0
3
0
1
1
161
0
2,022
8
20
female
health_centre
rural
lab_technologist
0
certificate
13
0
1
4
0
0
0
0
1
0
0
0
1
0
0
1
1
0
9
0
0
0
38
21
2,019
9
50
female
health_centre
urban
lab_technician
0
on_job_training
16
0
0
0
0
0
0
0
1
1
1
0
0
0
1
1
0
0
4
0
0
0
118
1
2,020
10
36
male
national_reference
urban
lab_technologist
1
certificate
2
1
0
0
0
0
0
1
0
1
1
0
0
0
1
1
0
0
1
0
1
0
33
1
2,023
11
26
female
health_centre
rural
lab_assistant
1
certificate
1
0
0
0
0
0
0
1
1
0
1
0
0
0
0
0
1
0
5
0
0
0
191
10
2,023
12
35
female
district
rural
lab_technologist
0
on_job_training
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
1
0
1
4
0
0
0
93
10
2,023
13
54
female
private
urban
lab_technologist
1
certificate
1
0
0
0
0
0
0
0
1
0
1
1
0
0
0
1
0
0
2
0
0
0
80
5
2,022
14
46
male
private
rural
lab_technologist
0
certificate
0
0
0
0
0
0
0
0
1
0
0
1
0
0
0
0
1
0
2
0
1
0
104
1
2,020
15
39
male
private
rural
lab_scientist
1
degree
7
0
0
0
0
1
0
0
1
0
0
1
1
1
0
0
0
0
2
0
0
0
119
5
2,022
16
41
female
national_reference
remote
lab_assistant
1
degree
5
0
0
0
0
0
0
1
1
0
0
0
0
0
1
1
0
0
8
0
0
0
52
5
2,022
17
41
male
district
rural
lab_technician
1
certificate
2
1
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
3
0
0
0
52
3
2,019
18
44
female
regional
urban
lab_technician
1
diploma
5
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
3
0
1
0
95
1
2,020
19
46
female
health_centre
remote
other
1
certificate
5
1
0
0
0
0
0
1
1
1
1
0
0
0
0
1
1
0
4
0
0
0
88
1
2,022
20
44
female
district
rural
phlebotomist
0
on_job_training
10
0
0
0
0
0
0
1
1
0
0
1
0
1
1
0
0
0
1
1
0
0
87
7
2,022
21
50
female
private
rural
other
0
on_job_training
0
0
0
0
0
0
0
0
1
0
0
0
0
1
1
0
0
0
4
0
0
0
151
11
2,023
22
43
female
national_reference
peri_urban
lab_scientist
1
certificate
4
0
0
0
0
0
1
1
1
0
1
0
0
0
1
1
0
0
6
0
0
0
286
3
2,022
23
34
male
private
urban
lab_technologist
0
certificate
12
0
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
1
0
1
0
87
1
2,021
24
21
female
health_centre
urban
phlebotomist
1
diploma
23
0
0
0
0
0
0
1
1
1
0
0
0
0
0
0
0
0
5
0
0
0
62
17
2,020
25
45
male
health_centre
remote
lab_technician
0
degree
59
0
1
22
1
0
0
0
0
1
0
1
0
0
0
1
0
1
5
0
1
0
43
1
2,021
26
34
female
district
peri_urban
lab_technologist
0
certificate
5
0
0
0
0
1
0
0
0
1
1
0
1
0
0
1
1
0
1
0
0
0
31
0
2,023
27
55
male
health_centre
remote
lab_technologist
0
certificate
6
0
0
0
0
0
0
0
1
1
0
0
1
1
0
1
1
0
7
0
0
0
157
0
2,020
28
27
male
health_centre
remote
lab_scientist
1
on_job_training
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
1
0
0
2
0
0
0
152
5
2,023
29
25
male
health_centre
urban
lab_assistant
0
certificate
1
0
0
0
0
0
0
0
0
1
0
0
1
0
0
0
0
0
4
0
0
0
97
1
2,019
30
34
female
health_centre
urban
lab_technologist
0
degree
15
0
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
4
0
0
0
30
1
2,019
31
37
female
district
urban
lab_technologist
0
certificate
7
0
1
5
0
0
0
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
22
3
2,022
32
32
male
district
urban
phlebotomist
0
certificate
4
0
0
0
0
0
0
1
1
1
0
1
1
0
0
1
0
0
5
0
0
0
164
3
2,020
33
20
male
private
remote
lab_assistant
0
certificate
2
0
0
0
0
1
0
0
1
0
1
0
1
0
1
1
0
0
4
0
0
0
94
7
2,021
34
42
female
district
urban
lab_technician
0
certificate
3
0
0
0
0
0
0
0
0
0
0
1
0
0
1
1
0
0
4
0
0
0
138
2
2,022
35
42
female
district
urban
lab_assistant
0
degree
5
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
4
0
0
0
65
0
2,020
36
41
female
health_centre
rural
lab_scientist
0
diploma
9
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
3
0
0
0
62
0
2,021
37
37
female
district
remote
phlebotomist
0
certificate
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
4
0
0
0
63
4
2,020
38
37
male
health_centre
remote
lab_technologist
0
diploma
4
0
0
0
0
1
0
0
1
0
1
1
0
0
0
0
1
0
5
0
0
0
119
3
2,023
39
50
male
health_centre
remote
lab_technician
0
certificate
1
0
0
0
0
0
0
0
1
0
0
0
0
0
1
0
1
0
4
1
1
1
54
8
2,019
40
35
female
regional
urban
phlebotomist
0
diploma
14
0
1
23
0
0
0
0
1
0
0
0
1
0
0
1
1
0
3
0
0
0
129
0
2,022
41
44
male
private
remote
phlebotomist
1
diploma
22
1
0
0
0
0
0
0
0
1
0
0
1
0
0
0
0
0
4
0
0
0
53
0
2,019
42
24
female
health_centre
urban
phlebotomist
0
certificate
27
0
1
1
0
0
0
1
0
1
0
1
1
0
0
1
0
0
2
0
0
0
62
21
2,023
43
20
male
regional
rural
lab_technologist
0
certificate
13
0
0
0
0
1
0
0
1
0
0
1
0
0
0
0
0
0
2
0
0
0
173
1
2,022
44
54
male
district
rural
phlebotomist
0
certificate
2
0
0
0
0
0
0
0
1
0
0
1
1
0
0
1
0
0
3
0
0
0
107
0
2,023
45
34
female
health_centre
urban
lab_scientist
0
certificate
0
0
0
0
0
0
0
1
1
0
0
0
0
0
0
1
0
0
1
0
0
0
57
5
2,022
46
38
male
regional
remote
lab_technician
1
on_job_training
3
1
0
0
0
1
0
0
0
0
0
1
0
0
0
1
0
0
1
1
0
0
36
2
2,020
47
20
male
private
peri_urban
lab_assistant
0
degree
6
0
0
0
0
0
0
1
1
0
0
1
0
0
0
0
1
0
5
0
1
1
208
1
2,022
48
32
female
district
peri_urban
lab_scientist
0
diploma
0
0
0
0
0
1
0
0
1
0
0
0
1
0
0
1
0
0
4
0
0
0
68
9
2,021
49
38
male
regional
rural
lab_technician
0
certificate
0
0
1
2
0
0
0
0
1
1
1
1
1
1
0
0
0
0
5
0
0
0
150
3
2,019
50
60
male
private
peri_urban
lab_assistant
0
diploma
8
0
0
0
0
0
0
0
0
0
1
1
0
0
0
1
0
0
1
0
0
0
95
14
2,020
51
36
male
private
peri_urban
phlebotomist
0
degree
1
0
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
4
0
0
0
33
0
2,020
52
37
female
private
urban
lab_technologist
0
diploma
2
0
0
0
0
0
0
0
0
0
0
1
1
0
0
1
0
0
1
1
0
0
45
7
2,021
53
32
male
district
urban
lab_technician
0
diploma
9
0
0
0
0
1
0
0
1
1
0
0
0
0
0
0
0
0
1
0
0
0
137
0
2,019
54
20
female
district
rural
lab_technician
0
diploma
7
0
0
0
0
0
0
0
1
0
0
0
0
0
0
1
1
0
2
0
0
0
58
0
2,020
55
46
male
private
urban
lab_assistant
0
diploma
2
0
0
0
0
0
0
0
1
0
0
0
1
0
1
1
0
0
4
0
0
0
56
4
2,022
56
20
male
regional
peri_urban
lab_technician
0
certificate
7
0
0
0
0
0
0
1
1
0
1
0
1
0
0
1
1
0
4
0
0
0
70
1
2,020
57
31
male
district
remote
lab_technician
1
diploma
8
0
0
0
0
0
0
1
0
0
0
0
0
1
0
0
0
0
4
0
0
0
23
0
2,020
58
38
female
health_centre
peri_urban
lab_assistant
0
diploma
9
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
1
0
4
0
0
0
76
4
2,023
59
42
female
district
rural
lab_assistant
0
degree
9
0
0
0
0
0
1
0
1
1
0
0
1
0
0
0
0
0
1
0
0
0
33
0
2,023
60
33
female
health_centre
rural
lab_technician
0
certificate
0
0
0
0
0
0
0
1
1
0
0
0
1
0
1
1
1
0
6
0
0
0
82
8
2,023
61
37
female
health_centre
peri_urban
lab_technician
0
diploma
10
0
0
0
0
0
0
0
1
0
1
0
0
0
0
0
0
0
2
0
0
0
188
3
2,022
62
38
female
health_centre
rural
lab_scientist
0
certificate
3
0
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
5
0
0
0
112
4
2,023
63
22
male
district
urban
lab_scientist
0
certificate
5
0
1
5
0
0
0
0
1
0
0
0
1
0
0
1
0
0
5
0
0
0
79
1
2,022
64
44
female
health_centre
rural
phlebotomist
0
diploma
8
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
2
0
1
0
37
2
2,020
65
38
female
national_reference
peri_urban
lab_technologist
0
diploma
1
0
1
19
1
0
0
0
1
0
1
0
0
0
1
1
0
0
3
0
0
0
58
2
2,023
66
20
male
district
peri_urban
lab_technologist
1
diploma
3
1
0
0
0
0
0
0
1
1
0
0
1
0
1
1
0
0
4
0
0
0
136
1
2,019
67
44
female
national_reference
rural
other
0
on_job_training
12
0
1
11
0
0
0
0
0
0
1
0
0
0
0
1
0
0
5
0
0
0
51
1
2,020
68
54
male
private
urban
lab_assistant
0
diploma
8
0
0
0
0
1
0
0
0
0
0
0
0
0
0
1
0
0
5
0
0
0
86
1
2,020
69
35
female
national_reference
urban
lab_technologist
1
diploma
3
1
1
17
0
0
0
1
0
0
0
0
0
0
0
1
1
0
4
0
0
0
97
8
2,019
70
47
female
district
rural
lab_assistant
0
on_job_training
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
1
1
0
4
0
1
0
101
4
2,023
71
39
female
private
peri_urban
lab_technologist
0
certificate
21
0
0
0
0
0
1
0
0
0
1
0
1
0
0
1
0
0
2
0
0
0
102
0
2,021
72
49
male
health_centre
urban
lab_assistant
0
certificate
3
0
0
0
0
0
0
0
1
1
0
1
0
0
0
1
1
0
1
0
1
0
42
2
2,021
73
20
male
regional
urban
lab_technologist
0
on_job_training
8
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
1
0
7
0
1
0
117
3
2,023
74
52
female
regional
urban
lab_technician
1
diploma
0
1
0
0
0
0
0
0
1
0
0
0
0
0
1
1
0
0
4
0
0
0
66
47
2,020
75
40
male
health_centre
rural
lab_technologist
0
diploma
4
0
0
0
1
0
0
1
1
0
0
1
0
0
0
1
0
0
2
0
1
0
106
4
2,021
76
44
male
regional
remote
other
1
diploma
17
1
1
15
0
0
1
1
1
0
0
1
0
0
0
1
0
0
5
0
1
0
81
3
2,020
77
36
female
district
peri_urban
lab_technician
0
certificate
0
0
0
0
0
0
0
1
1
0
0
0
1
0
0
1
0
0
3
0
0
0
54
2
2,023
78
27
male
health_centre
urban
phlebotomist
0
certificate
8
0
0
0
0
0
0
0
1
1
0
0
0
0
0
1
1
0
2
0
1
1
143
11
2,023
79
44
female
district
peri_urban
lab_technician
0
certificate
25
0
0
0
1
0
0
0
0
1
0
0
0
0
1
1
0
0
5
0
0
0
205
1
2,021
80
50
male
health_centre
urban
lab_technician
0
on_job_training
6
0
0
0
1
0
1
0
0
0
1
0
0
0
1
1
1
0
2
0
0
0
62
4
2,022
81
50
male
health_centre
urban
lab_technician
0
certificate
9
0
0
0
0
0
0
0
1
0
0
0
1
0
0
0
1
0
5
0
0
0
78
0
2,023
82
65
male
health_centre
urban
lab_assistant
0
diploma
0
0
0
0
0
0
0
1
1
0
0
0
0
0
0
1
0
0
4
0
0
0
48
4
2,022
83
63
male
district
rural
lab_scientist
0
diploma
3
0
0
0
1
0
0
1
1
0
0
0
0
0
0
0
0
0
5
0
0
0
113
6
2,022
84
29
female
national_reference
peri_urban
lab_assistant
0
certificate
6
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
0
1
0
0
0
58
6
2,023
85
20
female
district
urban
lab_technologist
1
diploma
16
0
0
0
0
0
0
0
1
0
1
0
0
0
0
1
0
0
4
0
0
0
120
8
2,019
86
33
female
health_centre
urban
lab_scientist
0
on_job_training
10
0
0
0
0
0
0
1
0
0
1
0
0
0
0
1
0
0
5
0
0
0
94
15
2,023
87
38
female
health_centre
rural
lab_scientist
0
certificate
17
0
0
0
1
0
0
0
1
1
0
0
0
1
0
1
0
0
3
0
0
0
105
2
2,021
88
42
female
health_centre
rural
lab_technician
0
certificate
0
0
1
27
0
1
0
0
1
0
0
0
0
1
0
1
0
1
5
1
0
0
61
2
2,021
89
40
female
health_centre
urban
lab_technician
0
degree
4
0
0
0
0
0
0
0
1
1
1
0
1
0
0
1
0
0
3
0
0
0
28
2
2,023
90
52
female
private
remote
lab_technologist
0
certificate
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
4
0
0
0
161
3
2,022
91
29
female
district
remote
lab_assistant
0
on_job_training
1
0
0
0
0
0
0
0
1
1
0
0
0
1
0
1
0
0
3
0
0
0
127
5
2,022
92
31
female
private
urban
lab_assistant
1
certificate
5
0
0
0
0
0
0
0
1
0
1
0
1
0
0
0
0
0
5
0
0
0
164
9
2,020
93
32
female
private
urban
lab_technologist
1
on_job_training
1
0
0
0
1
0
0
0
1
0
1
0
0
0
1
1
0
0
3
0
0
0
63
6
2,020
94
41
female
health_centre
urban
phlebotomist
1
certificate
8
0
0
0
0
0
1
1
1
0
1
0
0
0
0
0
0
0
4
0
0
0
45
0
2,023
95
40
female
health_centre
remote
lab_technologist
0
on_job_training
0
0
0
0
0
0
0
0
0
1
1
0
0
0
0
0
0
0
3
0
1
0
41
8
2,022
96
37
male
health_centre
rural
other
0
degree
8
0
1
9
0
0
0
1
0
0
0
1
1
0
0
1
0
0
4
0
1
0
35
2
2,021
97
32
female
health_centre
urban
lab_technician
0
certificate
9
0
0
0
0
0
0
1
1
0
0
0
1
0
0
1
1
0
4
0
0
0
63
3
2,023
98
30
female
district
rural
lab_technician
0
certificate
0
0
1
23
0
0
0
0
0
0
0
1
1
1
0
1
0
0
4
0
1
0
116
5
2,020
99
40
female
regional
urban
lab_technologist
0
certificate
7
0
0
0
1
0
0
0
1
0
0
1
0
0
0
0
0
0
5
0
0
0
60
4
2,022
100
47
male
district
remote
lab_scientist
0
on_job_training
0
0
1
21
1
0
0
0
1
0
0
0
0
0
0
1
0
1
1
1
0
0
61
1
2,020
End of preview. Expand in Data Studio

Laboratory Workforce & Training

Abstract

Synthetic dataset modeling laboratory workforce across three SSA scenarios. Captures cadre mix, qualifications, CPD, supervision, working conditions, salary, job satisfaction, emigration intention, retention, and career pathways. Parameterized from SSA lab workforce research.

Parameterization Evidence

Parameter Value Source Year
SSA lab professionals 0.9 per 10,000 pop Nkengasong et al. Lancet 2018
Brain drain 20-40% emigration Nkengasong et al. 2018
Workforce gap >140,000 needed WHO 2021
Rural vacancy rates 20-40% WHO 2021

Validation

Validation Report

Usage 

from datasets import load_dataset
ds = load_dataset("electricsheepafrica/laboratory-workforce-training", name="shortage_workforce")
df = ds['train'].to_pandas()

References

  1. Nkengasong JN et al. (2018). Laboratory medicine Africa. Lancet. DOI: 10.1016/S0140-6736(18)30625-8
  2. Schroeder LF & Amukele T (2014). Medical labs SSA. Clin Chem. DOI: 10.1373/clinchem.2013.217141
  3. WHO (2021). Health workforce statistics

License

CC-BY-4.0

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