Datasets:

electricsheepafrica
/

road-traffic-injury-trauma

id int64	age_years int64	sex string	road_user_type string	helmet_use int64	seatbelt_use int64	alcohol_involved int64	time_of_day string	road_type string	primary_body_region string	tbi int64	gcs int64	gcs_category string	iss int64	iss_category string	fracture int64	open_fracture int64	internal_bleeding int64	transport_mode string	time_to_facility_hours float64	within_golden_hour int64	prehospital_first_aid int64	cervical_spine_immobilised int64	referred_from_other int64	xray_done int64	ultrasound_fast int64	blood_transfusion int64	surgery_performed int64	surgery_type string	tetanus_given int64	antibiotics_given int64	wound_infection int64	outcome string	length_of_stay_days int64	disability_at_discharge string
1	54	F	motor_vehicle_occupant	0	1	0	evening_18_24	rural_road	head_neck	1	10	moderate	15	moderate	0	0	0	bystander	1.2	0	0	0	1	1	0	0	0	none	1	0	0	survived	4	cognitive_impairment
2	55	F	passenger_minibus	0	0	0	morning_6_12	urban_road	head_neck	1	5	severe	34	critical	0	0	0	motorcycle_taxi	2.1	0	0	0	0	1	0	0	0	none	1	0	0	died	6	none
3	51	M	pedestrian	0	0	0	night_0_6	urban_road	chest	0	14	mild	21	severe	1	0	0	walked	1.7	0	0	0	0	1	0	0	1	external_fixation	1	1	0	survived	19	mobility_limitation
4	31	M	pedestrian	0	0	0	afternoon_12_18	urban_road	head_neck	1	6	severe	34	critical	0	0	0	bystander	6.4	0	0	0	0	1	0	0	0	none	1	0	0	died	5	none
5	40	M	motorcyclist	1	0	0	afternoon_12_18	urban_road	chest	0	15	mild	4	minor	1	1	0	motorcycle_taxi	9.2	0	0	0	0	0	0	0	0	none	1	1	0	died	3	none
6	43	M	pedestrian	0	0	0	morning_6_12	intersection	lower_extremity	0	15	mild	10	moderate	1	0	0	ambulance	1.2	0	1	1	0	1	0	0	1	external_fixation	1	1	0	survived	6	mobility_limitation
7	2	M	pedestrian	0	0	0	afternoon_12_18	intersection	upper_extremity	0	15	mild	5	minor	1	0	0	ambulance	4.8	0	0	1	0	1	0	0	0	none	1	0	0	survived	10	mobility_limitation
8	59	M	passenger_minibus	0	0	1	morning_6_12	rural_road	chest	0	15	mild	22	severe	0	0	0	private_vehicle	6.4	0	0	0	0	1	0	0	0	none	1	0	0	survived	5	none
9	61	F	passenger_minibus	0	0	0	afternoon_12_18	rural_road	lower_extremity	0	15	mild	12	moderate	0	0	0	private_vehicle	7.3	0	0	0	1	0	0	0	0	none	1	0	0	died	5	none
10	40	M	pedestrian	0	0	0	night_0_6	urban_road	head_neck	1	8	severe	30	critical	0	0	0	private_vehicle	2.1	0	0	0	0	1	0	0	0	none	0	0	0	died	3	none
11	62	M	pedestrian	0	0	0	evening_18_24	intersection	chest	0	14	mild	17	severe	0	0	1	private_vehicle	2.1	0	0	0	0	0	0	0	0	none	1	0	0	died	2	none
12	57	M	motorcyclist	0	0	0	evening_18_24	urban_road	chest	0	15	mild	15	moderate	0	0	0	private_vehicle	3.1	0	0	0	0	1	0	0	0	none	1	0	0	survived	6	none
13	49	M	passenger_minibus	0	0	1	afternoon_12_18	highway	head_neck	1	4	severe	27	critical	0	0	0	ambulance	4.8	0	0	1	0	1	0	0	0	none	1	0	0	died	6	none
14	18	M	motorcyclist	1	0	0	evening_18_24	highway	spine	0	14	mild	12	moderate	1	0	0	motorcycle_taxi	9.6	0	0	0	0	0	0	0	1	external_fixation	1	1	0	survived	4	mobility_limitation
15	33	M	motorcyclist	0	0	1	afternoon_12_18	urban_road	chest	0	15	mild	7	minor	0	0	0	motorcycle_taxi	2.9	0	0	0	0	0	0	0	0	none	0	0	0	survived	4	none
16	33	M	motor_vehicle_occupant	0	0	0	night_0_6	highway	lower_extremity	0	14	mild	20	severe	1	0	0	private_vehicle	13.6	0	0	0	0	0	0	0	0	none	0	0	0	survived	11	mobility_limitation
17	32	M	motorcyclist	0	0	0	evening_18_24	rural_road	upper_extremity	0	15	mild	6	minor	1	1	0	ambulance	5.9	0	0	0	0	1	0	0	0	none	0	1	0	survived	4	mobility_limitation
18	17	M	passenger_minibus	0	0	0	afternoon_12_18	rural_road	upper_extremity	0	15	mild	11	moderate	1	0	0	motorcycle_taxi	2.3	0	0	0	1	0	0	0	0	none	1	0	0	survived	3	mobility_limitation
19	1	F	pedestrian	0	0	0	afternoon_12_18	intersection	head_neck	1	14	mild	10	moderate	0	0	0	motorcycle_taxi	0.25	1	0	0	0	1	0	0	0	none	1	0	0	survived	6	none
20	21	F	pedestrian	0	0	0	evening_18_24	highway	head_neck	1	13	mild	2	minor	0	0	0	motorcycle_taxi	0.3	1	0	0	0	0	0	0	0	none	0	0	0	survived	4	none
21	25	M	motor_vehicle_occupant	0	0	1	evening_18_24	highway	head_neck	1	14	mild	20	severe	0	0	0	ambulance	4.1	0	1	0	0	1	0	0	0	none	1	0	0	died	2	none
22	44	F	motor_vehicle_occupant	0	0	1	night_0_6	urban_road	upper_extremity	0	15	mild	8	minor	0	0	0	private_vehicle	7.9	0	0	0	0	1	0	0	0	none	1	0	0	survived	8	none
23	41	M	motorcyclist	0	0	1	evening_18_24	urban_road	head_neck	1	11	moderate	21	severe	0	0	0	bystander	0.25	1	0	0	0	1	0	0	0	none	1	0	0	survived	28	cognitive_impairment
24	37	M	motorcyclist	0	0	0	night_0_6	urban_road	upper_extremity	0	15	mild	12	moderate	0	0	0	police	0.6	1	1	0	0	1	0	0	0	none	1	0	0	survived	4	none
25	24	M	pedestrian	0	0	0	night_0_6	urban_road	head_neck	1	6	severe	24	severe	0	0	0	motorcycle_taxi	1.3	0	0	0	0	1	0	0	0	none	1	0	0	died	2	none
26	37	M	cyclist	0	0	0	evening_18_24	rural_road	head_neck	1	9	moderate	7	minor	1	0	0	police	4.7	0	1	0	1	0	0	0	1	orif	1	1	0	survived	1	cognitive_impairment
27	19	F	motor_vehicle_occupant	0	0	0	evening_18_24	highway	chest	0	15	mild	21	severe	0	0	0	motorcycle_taxi	3.2	0	0	0	0	1	0	0	0	none	0	0	0	survived	9	none
28	18	F	motor_vehicle_occupant	0	0	0	morning_6_12	highway	multiple	0	15	mild	10	moderate	1	1	0	bystander	4.5	0	0	0	0	0	0	0	0	none	0	1	0	survived	1	mobility_limitation
29	22	M	motorcyclist	0	0	0	night_0_6	urban_road	lower_extremity	0	15	mild	7	minor	1	1	0	motorcycle_taxi	3.1	0	0	0	0	0	0	0	0	none	0	1	1	survived	7	mobility_limitation
30	10	M	pedestrian	0	0	0	evening_18_24	rural_road	pelvis	0	15	mild	11	moderate	1	0	0	ambulance	3.1	0	0	1	0	0	0	0	1	amputation	1	1	0	survived	4	amputation
31	23	M	pedestrian	0	0	0	evening_18_24	rural_road	head_neck	1	12	moderate	9	moderate	0	0	0	motorcycle_taxi	5.3	0	0	0	0	0	0	0	0	none	1	0	0	died	0	none
32	5	M	pedestrian	0	0	0	afternoon_12_18	urban_road	multiple	0	15	mild	24	severe	1	0	0	bystander	3.7	0	0	0	0	1	0	0	1	orif	1	1	0	survived	22	mobility_limitation
33	53	M	motorcyclist	0	0	0	night_0_6	intersection	spine	0	14	mild	14	moderate	1	0	0	bystander	4.7	0	1	0	0	1	0	0	1	orif	1	1	0	survived	8	mobility_limitation
34	11	M	pedestrian	0	0	0	afternoon_12_18	urban_road	abdomen	0	14	mild	21	severe	0	0	1	bystander	2.1	0	0	0	0	0	0	0	1	laparotomy	1	1	0	survived	32	none
35	18	M	motorcyclist	0	0	1	morning_6_12	highway	multiple	1	8	severe	33	critical	1	0	1	bystander	7.6	0	0	0	1	0	0	0	0	none	0	0	0	died	6	none
36	72	M	cyclist	0	0	0	evening_18_24	rural_road	head_neck	1	12	moderate	12	moderate	0	0	0	ambulance	0.8	1	0	0	0	1	0	0	0	none	0	0	0	survived	5	cognitive_impairment
37	16	M	pedestrian	0	0	0	night_0_6	highway	head_neck	1	14	mild	11	moderate	0	0	0	bystander	1.3	0	0	0	1	1	0	0	0	none	1	0	0	survived	1	none
38	1	M	passenger_minibus	0	0	0	evening_18_24	rural_road	abdomen	0	15	mild	26	critical	0	0	0	motorcycle_taxi	4.8	0	0	0	1	0	0	0	0	none	1	0	0	survived	13	none
39	52	F	pedestrian	0	0	1	night_0_6	intersection	head_neck	1	13	mild	10	moderate	0	0	0	bystander	6.6	0	0	0	0	1	0	0	0	none	1	0	0	survived	2	none
40	52	M	motor_vehicle_occupant	0	1	0	afternoon_12_18	rural_road	multiple	1	9	moderate	56	critical	0	0	0	bystander	10.5	0	0	0	1	1	0	0	0	none	1	0	0	died	2	none
41	25	F	pedestrian	0	0	1	evening_18_24	intersection	head_neck	1	5	severe	24	severe	0	0	0	ambulance	1	1	0	0	0	1	0	0	0	none	1	0	0	survived	17	cognitive_impairment
42	70	F	other	0	0	0	morning_6_12	highway	chest	0	15	mild	4	minor	0	0	0	bystander	1.1	0	0	0	1	0	0	0	0	none	1	0	0	survived	6	none
43	27	F	motor_vehicle_occupant	0	0	0	morning_6_12	intersection	head_neck	1	10	moderate	3	minor	0	0	0	police	0.3	1	0	0	0	0	0	0	0	none	0	0	0	died	3	none
44	22	M	pedestrian	0	0	0	night_0_6	rural_road	upper_extremity	0	15	mild	12	moderate	1	1	0	private_vehicle	5.9	0	1	0	0	1	0	0	1	orif	1	1	0	survived	6	mobility_limitation
45	44	M	pedestrian	0	0	0	night_0_6	rural_road	head_neck	1	14	mild	3	minor	1	0	0	motorcycle_taxi	3.8	0	0	0	0	1	0	0	0	none	1	0	0	survived	4	mobility_limitation
46	65	M	motorcyclist	1	0	1	evening_18_24	urban_road	multiple	1	13	mild	36	critical	0	0	0	police	7.9	0	0	0	1	1	0	0	0	none	1	0	0	died	2	none
47	58	F	motorcyclist	0	0	0	night_0_6	urban_road	lower_extremity	0	15	mild	12	moderate	0	0	0	bystander	7.4	0	0	0	0	1	0	0	0	none	1	0	0	survived	5	none
48	19	M	motor_vehicle_occupant	0	1	0	morning_6_12	rural_road	pelvis	0	15	mild	3	minor	1	1	1	private_vehicle	2	0	0	0	1	1	0	0	1	external_fixation	1	1	0	survived	6	mobility_limitation
49	40	F	motor_vehicle_occupant	0	0	0	night_0_6	urban_road	upper_extremity	0	15	mild	10	moderate	1	1	0	motorcycle_taxi	3	0	0	0	0	0	0	0	0	none	0	1	0	survived	9	mobility_limitation
50	39	M	motorcyclist	0	0	1	night_0_6	intersection	head_neck	1	4	severe	19	severe	0	0	0	motorcycle_taxi	1.5	0	0	0	1	1	0	0	0	none	1	0	0	died	0	none
51	36	F	other	0	0	1	morning_6_12	rural_road	head_neck	1	13	mild	1	minor	0	0	0	private_vehicle	1.7	0	0	0	0	1	0	0	0	none	0	0	0	survived	8	none
52	24	M	other	0	0	0	afternoon_12_18	urban_road	head_neck	1	15	mild	14	moderate	0	0	0	motorcycle_taxi	3.4	0	0	0	0	0	0	0	0	none	1	0	0	survived	5	none
53	67	M	pedestrian	0	0	0	morning_6_12	highway	head_neck	1	13	mild	8	minor	0	0	0	private_vehicle	1	1	0	0	0	1	0	0	0	none	0	0	0	died	0	none
54	23	M	motor_vehicle_occupant	0	0	0	afternoon_12_18	urban_road	head_neck	1	7	severe	30	critical	1	1	0	private_vehicle	1.1	0	0	0	0	0	0	0	0	none	1	1	0	survived	3	cognitive_impairment
55	24	M	pedestrian	0	0	0	evening_18_24	rural_road	spine	0	14	mild	7	minor	0	0	0	private_vehicle	3.3	0	0	0	0	1	0	0	0	none	1	0	0	survived	6	none
56	18	M	motor_vehicle_occupant	0	1	1	afternoon_12_18	intersection	lower_extremity	0	14	mild	9	moderate	1	0	0	motorcycle_taxi	0.25	1	0	0	0	1	0	0	0	none	1	0	0	survived	3	mobility_limitation
57	16	F	pedestrian	0	0	0	morning_6_12	urban_road	head_neck	1	3	severe	28	critical	0	0	0	ambulance	0.3	1	1	0	1	0	0	0	0	none	1	0	0	survived	8	cognitive_impairment
58	30	F	motorcyclist	0	0	1	night_0_6	urban_road	upper_extremity	0	15	mild	10	moderate	1	0	0	private_vehicle	1.7	0	1	0	1	0	0	0	0	none	1	0	0	survived	8	mobility_limitation
59	34	F	passenger_minibus	0	0	0	afternoon_12_18	urban_road	upper_extremity	0	15	mild	11	moderate	1	0	0	private_vehicle	4.8	0	1	0	1	0	0	0	0	none	1	0	0	survived	4	mobility_limitation
60	22	F	motorcyclist	0	0	1	night_0_6	urban_road	multiple	0	14	mild	19	severe	0	0	0	ambulance	4	0	0	1	0	1	0	0	0	none	0	0	0	survived	17	none
61	27	M	pedestrian	0	0	1	evening_18_24	urban_road	upper_extremity	0	15	mild	6	minor	1	0	0	motorcycle_taxi	1.8	0	1	0	0	1	0	0	0	none	0	0	0	survived	8	mobility_limitation
62	16	M	cyclist	0	0	0	afternoon_12_18	urban_road	head_neck	1	14	mild	1	minor	0	0	0	private_vehicle	3	0	0	0	0	1	0	0	0	none	1	0	0	survived	1	none
63	23	M	pedestrian	0	0	0	afternoon_12_18	rural_road	head_neck	1	13	mild	26	critical	0	0	0	police	1.3	0	1	0	0	0	0	0	0	none	1	0	0	survived	27	none
64	67	F	cyclist	0	0	1	morning_6_12	rural_road	head_neck	1	13	mild	7	minor	0	0	0	police	0.4	1	0	0	0	1	0	0	0	none	1	0	0	survived	8	none
65	62	F	other	0	0	0	night_0_6	highway	spine	0	15	mild	11	moderate	0	0	0	walked	11.2	0	0	0	0	1	0	0	0	none	1	0	0	died	4	none
66	8	M	cyclist	0	0	1	morning_6_12	highway	head_neck	1	15	mild	13	moderate	0	0	0	private_vehicle	0.25	1	1	0	1	1	0	0	0	none	1	0	0	survived	6	none
67	41	F	motor_vehicle_occupant	0	0	0	afternoon_12_18	highway	head_neck	1	9	moderate	15	moderate	0	0	0	motorcycle_taxi	3.5	0	1	0	0	1	0	0	0	none	0	0	0	survived	7	cognitive_impairment
68	58	F	pedestrian	0	0	1	afternoon_12_18	urban_road	upper_extremity	0	15	mild	2	minor	1	0	0	ambulance	8.8	0	0	0	1	0	0	0	0	none	0	0	0	survived	4	mobility_limitation
69	47	M	cyclist	0	0	0	evening_18_24	intersection	head_neck	1	15	mild	5	minor	0	0	0	police	2.9	0	0	0	0	1	0	0	0	none	1	0	0	survived	5	none
70	25	M	motor_vehicle_occupant	0	0	0	morning_6_12	intersection	head_neck	1	5	severe	35	critical	0	0	0	motorcycle_taxi	3.8	0	1	0	0	1	0	0	0	none	1	0	0	died	2	none
71	42	M	motorcyclist	0	0	0	night_0_6	urban_road	spine	0	15	mild	17	severe	0	0	0	private_vehicle	1.9	0	0	0	0	1	0	0	0	none	1	0	0	survived	26	none
72	25	M	motor_vehicle_occupant	0	0	0	evening_18_24	intersection	multiple	0	15	mild	23	severe	0	0	0	ambulance	0.25	1	0	1	0	1	0	0	0	none	1	0	0	survived	38	none
73	17	F	other	0	0	0	night_0_6	urban_road	abdomen	0	15	mild	26	critical	0	0	0	bystander	0.3	1	1	0	1	1	0	0	0	none	0	0	0	survived	10	none
74	26	F	pedestrian	0	0	0	morning_6_12	rural_road	head_neck	1	10	moderate	10	moderate	0	0	0	police	0.25	1	0	0	0	1	0	0	0	none	0	0	0	died	6	none
75	8	F	pedestrian	0	0	0	night_0_6	highway	abdomen	0	15	mild	23	severe	0	0	0	police	3.8	0	0	0	0	0	0	0	0	none	1	0	0	survived	33	none
76	53	F	pedestrian	0	0	0	afternoon_12_18	highway	head_neck	1	13	mild	7	minor	0	0	0	private_vehicle	1.1	0	1	0	0	1	0	0	0	none	1	0	0	survived	5	none
77	13	M	cyclist	0	0	1	night_0_6	intersection	head_neck	1	8	severe	17	severe	0	0	0	motorcycle_taxi	0.25	1	0	0	0	0	0	0	0	none	0	0	0	died	6	none
78	45	M	pedestrian	0	0	1	afternoon_12_18	urban_road	upper_extremity	0	15	mild	5	minor	0	0	0	private_vehicle	3.7	0	0	0	0	1	0	0	0	none	0	0	0	survived	7	none
79	76	F	pedestrian	0	0	0	afternoon_12_18	intersection	head_neck	1	13	mild	5	minor	0	0	0	motorcycle_taxi	3.2	0	0	0	0	1	0	0	0	none	1	0	0	survived	2	none
80	4	M	pedestrian	0	0	0	morning_6_12	urban_road	head_neck	1	10	moderate	6	minor	0	0	0	private_vehicle	2	0	0	0	0	1	0	0	0	none	1	0	0	survived	12	cognitive_impairment
81	29	M	passenger_minibus	0	0	0	evening_18_24	rural_road	upper_extremity	0	15	mild	7	minor	1	1	0	motorcycle_taxi	9.8	0	0	0	0	1	0	0	0	none	0	1	0	survived	6	mobility_limitation
82	16	M	pedestrian	0	0	0	morning_6_12	highway	spine	0	15	mild	10	moderate	0	0	0	bystander	11.4	0	0	0	0	1	0	0	0	none	1	0	0	survived	5	none
83	16	M	cyclist	0	0	0	evening_18_24	intersection	head_neck	1	12	moderate	5	minor	0	0	0	private_vehicle	3.8	0	0	0	0	1	0	0	0	none	1	0	0	survived	5	cognitive_impairment
84	48	M	motor_vehicle_occupant	0	1	0	afternoon_12_18	highway	head_neck	1	12	moderate	7	minor	0	0	0	police	2.9	0	0	0	0	1	0	0	0	none	1	0	0	survived	9	cognitive_impairment
85	11	M	passenger_minibus	0	0	0	afternoon_12_18	intersection	abdomen	0	14	mild	24	severe	1	1	0	motorcycle_taxi	1.9	0	1	0	0	1	0	0	1	external_fixation	1	1	0	survived	18	mobility_limitation
86	18	M	motor_vehicle_occupant	0	0	0	afternoon_12_18	urban_road	head_neck	1	12	moderate	7	minor	0	0	0	motorcycle_taxi	5.4	0	0	0	0	0	0	0	0	none	1	0	0	survived	2	cognitive_impairment
87	29	F	other	0	0	0	evening_18_24	urban_road	chest	0	15	mild	20	severe	0	0	0	police	2.5	0	0	0	0	1	0	0	0	none	1	0	0	survived	4	none
88	21	F	motorcyclist	1	0	0	morning_6_12	rural_road	head_neck	1	3	severe	23	severe	1	0	0	private_vehicle	4.4	0	0	0	0	1	0	0	0	none	1	0	0	died	0	none
89	66	M	pedestrian	0	0	0	evening_18_24	rural_road	multiple	1	11	moderate	39	critical	1	1	0	walked	0.25	1	0	0	0	1	0	0	0	none	0	1	1	died	4	none
90	3	M	pedestrian	0	0	1	night_0_6	intersection	head_neck	1	4	severe	18	severe	1	0	0	motorcycle_taxi	8.7	0	0	0	0	1	0	0	0	none	1	0	0	died	6	none
91	37	M	pedestrian	0	0	0	night_0_6	urban_road	head_neck	1	13	mild	3	minor	0	0	0	private_vehicle	0.6	1	0	0	0	0	0	0	0	none	1	0	0	survived	4	none
92	75	M	passenger_minibus	0	0	0	evening_18_24	intersection	head_neck	1	4	severe	22	severe	0	0	0	ambulance	1.8	0	0	1	0	0	0	0	0	none	0	0	0	died	5	none
93	59	M	passenger_minibus	0	0	0	morning_6_12	highway	lower_extremity	0	14	mild	11	moderate	1	0	0	police	1.1	0	0	0	1	1	0	0	0	none	0	0	0	died	3	none
94	33	M	cyclist	0	0	0	evening_18_24	rural_road	head_neck	1	12	moderate	1	minor	0	0	0	motorcycle_taxi	0.25	1	0	0	0	1	0	0	0	none	0	0	0	survived	3	cognitive_impairment
95	68	M	motorcyclist	0	0	1	afternoon_12_18	intersection	head_neck	1	9	moderate	13	moderate	0	0	0	motorcycle_taxi	2.5	0	1	0	1	0	0	0	0	none	1	0	0	died	5	none
96	23	F	motorcyclist	0	0	0	evening_18_24	intersection	abdomen	0	15	mild	4	minor	0	0	0	motorcycle_taxi	2.2	0	0	0	1	1	1	0	0	none	0	0	0	survived	2	none
97	21	M	pedestrian	0	0	0	afternoon_12_18	urban_road	pelvis	0	15	mild	10	moderate	1	1	0	private_vehicle	0.9	1	0	0	1	0	0	0	0	none	0	1	0	survived	5	mobility_limitation
98	42	M	motor_vehicle_occupant	0	1	0	afternoon_12_18	highway	head_neck	1	6	severe	27	critical	1	1	0	private_vehicle	1.6	0	0	0	0	1	0	1	1	orif	0	1	0	died	5	none
99	22	F	motor_vehicle_occupant	0	0	0	afternoon_12_18	rural_road	spine	0	15	mild	5	minor	1	0	0	ambulance	1.8	0	1	0	0	1	0	0	0	none	1	0	0	survived	6	mobility_limitation
100	9	M	pedestrian	0	0	0	afternoon_12_18	intersection	head_neck	1	14	mild	5	minor	0	0	0	bystander	0.8	1	0	0	0	1	0	0	0	none	0	0	0	survived	12	none

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Road Traffic Injury & Trauma Dataset

Abstract

This dataset provides 30,000 simulated RTI records (10,000 per scenario) of road traffic injury patients presenting to health facilities in sub-Saharan Africa. Each record contains 50+ variables including road user type, injury mechanism, GCS, ISS, body region, prehospital transport, emergency management (CT, surgery, ICU, blood), complications, disability, and mortality. Three settings: urban trauma centre (18.6% mortality), district hospital (33.8%), and rural health centre (48.2%).

1. Introduction

Africa has the highest road traffic death rate globally at 26.6 per 100,000 population versus 17.4 globally (WHO Global Status Report 2023). Pedestrians and cyclists account for >50% of road deaths in Africa. Males aged 15-44 are most affected, with a 3:1 male-to-female ratio. Less than 10% of trauma patients arrive within the golden hour in many SSA settings. Strengthening prehospital trauma care could prevent 54% of trauma deaths (Mock et al., Bull WHO 2012).

This dataset is entirely simulated. It must not be used for clinical decision-making.

2. Methodology

2.1 Parameterization

Parameter	Value	Source
RTI death rate (Africa)	26.6/100K	WHO Global Status Report 2023
Pedestrian proportion	>50% of deaths	WHO 2023
Male:Female ratio	3:1	WHO 2024
Golden hour arrival (SSA)	<10%	Galvagno et al., 2019
Severe injury mortality (SSA)	30-40% (ISS>15)	Zafar et al., Lancet 2018
Head injury proportion	44%	Chalya et al., BMC Pub Health 2012
Prehospital prevention potential	54% deaths preventable	Mock et al., Bull WHO 2012

2.2 Scenario Design

Scenario	Facility	CT	ICU	Ambulance	Mortality
Trauma centre	Urban, neurosurgery	Yes	Yes	38%	18.6%
District hospital	Basic X-ray	No	No	10%	33.8%
Rural health centre	No imaging	No	No	3%	48.2%

3. Schema

Column	Type	Description
id	int	Unique identifier
age_years	int	Patient age
sex	categorical	M / F
road_user_type	categorical	pedestrian / motorcyclist / motor_vehicle_occupant / cyclist / passenger_minibus
helmet_use	binary	Helmet worn (motorcyclist)
seatbelt_use	binary	Seatbelt worn (vehicle occupant)
alcohol_involved	binary	Alcohol involved
time_of_day	categorical	morning / afternoon / evening / night
road_type	categorical	highway / urban_road / rural_road / intersection
primary_body_region	categorical	head_neck / chest / abdomen / upper/lower_extremity / spine / pelvis / multiple
tbi	binary	Traumatic brain injury
gcs	int	Glasgow Coma Scale (3-15)
gcs_category	categorical	severe / moderate / mild
iss	int	Injury Severity Score (1-75)
iss_category	categorical	minor / moderate / severe / critical
fracture	binary	Fracture present
open_fracture	binary	Open fracture
internal_bleeding	binary	Internal bleeding
spinal_cord_injury	binary	Spinal cord injury
transport_mode	categorical	ambulance / private_vehicle / police / bystander / walked / motorcycle_taxi
time_to_facility_hours	float	Time from injury to facility
within_golden_hour	binary	Arrived within 1 hour
prehospital_first_aid	binary	First aid given
cervical_spine_immobilised	binary	C-spine immobilised
referred_from_other	binary	Referred from another facility
xray_done	binary	X-ray performed
ct_done	binary	CT scan performed
ultrasound_fast	binary	FAST ultrasound
blood_transfusion	binary	Blood transfusion
surgery_performed	binary	Surgery performed
surgery_type	categorical	laparotomy / craniotomy / orif / external_fixation / amputation
icu_admission	binary	ICU admission
intubated	binary	Intubated
tetanus_given	binary	Tetanus prophylaxis
antibiotics_given	binary	Antibiotics
wound_infection	binary	Wound infection
sepsis	binary	Sepsis
vte	binary	VTE
outcome	categorical	survived / died
length_of_stay_days	int	Hospital stay
disability_at_discharge	categorical	none / paralysis / amputation / cognitive_impairment / mobility_limitation

4. Validation

Validation Report

Key validation checks:

Mortality gradient: 18.6% → 33.8% → 48.2%, reflecting infrastructure gap ✓
Male predominance: 75%, consistent with WHO 3:1 ratio ✓
Pedestrians most common: ~40%, consistent with WHO Africa data ✓
GCS dose-response: Severe GCS mortality >> mild ✓
Golden hour: Only 3-30% arrive within 1 hour ✓
Head injury leading: ~45% TBI, consistent with Chalya 2012 ✓

5. Usage

from datasets import load_dataset
dataset = load_dataset("electricsheepafrica/road-traffic-injury-trauma", "district_hospital")
df = dataset["train"].to_pandas()

python generate_dataset.py --all-scenarios --n 10000 --seed 42

6. Limitations

Simulated: Not derived from real trauma registries.
No imaging: CT/X-ray findings are binary, no images.
Simplified ISS: Estimated, not calculated from individual AIS scores.
No rehabilitation: Discharge snapshot only, no long-term follow-up.
No cost data: No financial burden or catastrophic expenditure.

7. References

WHO (2023). Global Status Report on Road Safety.
Galvagno SM, et al. (2019). Prehospital trauma care SSA.
Zafar SN, et al. (2018). Trauma care Africa. Lancet, 391(10127):1308.
WHO (2024). Road traffic injuries fact sheet.
Chalya PL, et al. (2012). RTI Tanzania Bugando. BMC Public Health, 12:501.
Hyder AA, et al. (2017). Cost of RTI in LMICs. Bull WHO, 95(5):326.
Mwandri M, et al. (2020). Trauma SSA. World J Emerg Surg, 15:17.
Mock C, et al. (2012). Prehospital trauma care. Bull WHO, 90(8):577.

Citation

@dataset{esa_rti_2025,
  title={Road Traffic Injury and Trauma Dataset},
  author={Electric Sheep Africa},
  year={2025},
  publisher={Hugging Face},
  url={https://huggingface.co/datasets/electricsheepafrica/road-traffic-injury-trauma}
}

License

CC-BY-4.0

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