Datasets:

electricsheepafrica
/

childhood-immunization-vpd

id int64	age_months int64	sex string	birth_order int64	rural int64	distance_to_facility_km float64	maternal_education string	anc_4_plus int64	facility_delivery int64	health_card_available int64	bcg int64	opv0 int64	opv1 int64	opv3 int64	dtp1 int64	dtp2 int64	dtp3 int64	pcv3 int64	rota_complete int64	mcv1 int64	mcv2 int64	yellow_fever int64	vitamin_a int64	zero_dose int64	fully_immunized int64	dropout_dtp1_dtp3 int64	stockout_experienced int64	cold_chain_break int64	vaccine_refusal int64	missed_appointment int64	travel_cost_barrier int64	measles_episode int64	pertussis_episode int64	rotavirus_diarrhoea int64	pneumococcal_pneumonia int64	any_vpd int64	hospitalised int64
1	5	M	5	1	1.3	tertiary	0	0	1	1	1	0	0	1	1	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0
2	46	F	1	1	1.2	none	0	0	0	1	1	1	1	1	1	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0
3	48	F	3	1	8.5	primary	0	1	1	1	1	1	0	1	1	1	1	1	1	1	1	0	0	0	0	1	1	0	0	0	0	0	0	0	0	0
4	0	F	1	0	0.7	none	1	0	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0
5	14	F	1	1	7.6	tertiary	0	0	1	0	1	1	1	1	1	0	0	1	1	0	0	1	0	0	1	0	0	0	0	0	0	0	0	1	1	0
6	18	M	2	1	0.7	secondary	1	0	1	1	1	1	0	1	1	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	1	0
7	39	M	2	1	1.9	none	0	1	1	1	1	0	0	0	0	0	0	0	1	0	1	0	1	0	0	1	1	0	0	0	0	0	0	0	0	0
8	40	F	3	1	33.8	secondary	1	1	0	1	0	1	1	0	0	0	1	1	1	0	1	1	1	0	0	0	0	0	1	1	0	0	0	0	0	0
9	58	M	3	1	4.4	secondary	0	0	1	1	0	1	1	1	1	0	1	0	1	0	0	1	0	0	1	1	0	0	0	0	0	0	0	0	0	0
10	7	F	1	1	27.9	secondary	1	1	1	0	1	1	1	1	1	0	0	1	0	0	0	1	0	0	1	0	0	0	1	0	1	0	0	0	1	0
11	9	M	2	1	1.8	none	1	1	0	1	1	0	0	0	0	0	0	1	1	0	1	1	1	0	0	0	0	1	0	0	0	0	0	1	1	0
12	17	F	3	0	15.9	secondary	0	0	1	1	1	0	0	1	1	1	1	1	1	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0
13	46	F	6	1	14.3	primary	0	1	0	1	0	0	0	1	1	1	0	1	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
14	19	F	2	1	8.8	primary	0	0	0	1	1	0	0	1	1	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	1	0
15	7	F	9	1	7.3	primary	0	0	0	1	0	1	1	1	1	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0
16	43	M	3	1	26.6	none	0	1	1	1	0	1	0	0	0	0	1	1	1	0	0	1	1	0	0	0	1	0	0	0	0	0	0	0	0	0
17	27	M	1	1	32.3	secondary	1	0	1	1	1	0	0	1	1	1	1	0	0	0	1	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0
18	12	M	7	1	7.9	tertiary	1	1	1	1	1	1	1	1	1	1	0	0	1	0	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0
19	32	F	1	1	4.7	primary	0	1	1	1	0	0	0	1	1	0	1	0	1	1	1	0	0	0	1	1	0	0	1	0	0	0	0	1	1	0
20	38	M	1	1	8	primary	0	0	0	1	1	0	0	1	1	1	1	0	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0
21	50	M	4	1	14.9	tertiary	1	1	1	1	1	1	1	1	1	1	0	0	0	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0
22	45	F	4	1	2.2	primary	0	0	1	1	1	1	0	1	1	0	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0
23	27	M	2	1	12.9	secondary	0	0	1	1	1	1	1	1	1	1	0	0	0	0	1	0	0	0	0	1	0	0	0	0	1	0	0	1	1	1
24	52	F	4	0	2.8	secondary	1	1	1	0	1	1	0	1	1	0	0	1	0	0	1	0	0	0	1	0	0	0	0	0	0	0	0	1	1	0
25	25	F	6	1	3	secondary	0	0	1	1	0	1	1	1	1	1	1	0	0	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0
26	48	F	3	1	9.1	secondary	1	1	1	1	0	1	1	0	0	0	0	0	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0
27	46	M	1	0	0.5	none	1	1	1	1	1	1	1	1	1	0	1	0	1	0	1	1	0	0	1	0	1	0	0	0	0	0	0	0	0	0
28	30	F	2	1	9.5	primary	0	1	1	0	1	1	0	1	1	1	0	1	1	1	1	0	0	0	0	1	0	0	0	0	1	0	0	0	1	1
29	59	M	4	1	11.3	tertiary	1	0	1	1	1	1	1	1	1	1	1	1	1	0	0	0	0	1	0	0	0	0	1	1	0	0	0	0	0	0
30	51	F	1	1	29.3	none	0	0	1	0	1	1	0	1	1	0	1	0	1	0	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0
31	55	M	3	1	30.9	none	0	1	0	1	0	1	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0
32	30	F	2	1	10.4	secondary	1	0	1	1	0	1	1	1	1	1	0	0	1	1	1	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0
33	35	M	1	1	7	primary	1	1	1	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	1	1	1	0	0	0	1	0	0	0	1	0
34	52	M	1	0	1.9	secondary	1	1	1	1	0	1	0	1	1	1	1	0	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0
35	17	F	6	1	10.8	primary	0	1	1	1	1	0	0	1	0	0	1	0	1	0	1	1	0	0	1	1	0	0	0	0	0	0	0	0	0	0
36	9	F	4	1	7.6	tertiary	1	1	1	1	1	1	0	1	0	0	1	0	1	0	0	1	0	0	1	1	0	0	1	0	0	0	0	0	0	0
37	24	M	1	1	13	none	0	0	1	1	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0
38	43	M	3	1	12	secondary	0	1	1	1	0	0	0	1	1	1	1	1	1	0	0	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0
39	31	F	1	1	31.4	secondary	1	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0
40	23	M	1	0	4.6	none	1	1	0	0	1	0	0	1	1	0	1	1	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	0	0	0
41	42	M	2	1	13.8	secondary	0	0	0	1	1	0	0	0	0	0	1	0	1	1	0	1	1	0	0	0	0	0	0	1	0	0	0	0	0	0
42	49	F	1	0	0.5	none	0	1	1	1	1	0	0	1	1	0	1	1	0	0	0	1	0	0	1	0	1	0	0	0	0	0	0	0	0	0
43	32	M	5	1	4.2	secondary	1	1	1	1	0	1	0	1	1	1	1	0	0	0	0	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0
44	45	F	1	1	6.7	primary	1	1	0	0	1	1	1	1	1	1	0	1	1	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0
45	28	M	4	1	3.4	primary	1	1	1	0	1	1	1	1	1	0	1	0	0	0	1	1	0	0	1	1	0	0	0	0	0	0	0	0	0	0
46	35	F	1	1	14.2	tertiary	0	0	1	0	1	1	0	1	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
47	16	F	3	1	38.6	primary	1	1	1	1	0	1	1	1	1	1	0	0	0	0	0	1	0	0	0	0	0	0	0	1	1	0	0	1	1	0
48	27	M	3	1	1.9	primary	0	1	1	1	1	0	0	1	1	0	0	0	1	0	0	1	0	0	1	1	0	0	0	0	0	0	0	0	0	0
49	56	M	1	1	27.5	primary	1	0	1	1	1	0	0	1	1	1	0	1	1	0	1	1	0	0	0	1	0	0	0	0	0	0	0	1	1	0
50	22	F	2	1	0.5	primary	0	0	1	1	1	0	0	1	0	0	0	1	1	0	1	1	0	0	1	0	0	0	0	0	0	0	0	0	0	0
51	30	F	1	0	1.3	secondary	0	0	0	1	0	1	1	0	0	0	0	0	1	0	1	1	1	0	0	0	1	0	0	0	0	0	0	0	0	0
52	17	M	1	1	50	primary	0	0	0	1	1	1	1	1	1	0	0	0	1	0	0	0	0	0	1	0	0	0	1	1	0	0	0	0	0	0
53	7	M	3	1	50	primary	1	0	1	0	1	1	1	1	1	1	0	0	0	0	0	1	0	0	0	0	1	0	0	0	1	0	0	0	1	0
54	32	F	1	1	13.5	secondary	0	0	1	1	1	0	0	1	1	0	0	0	1	1	0	1	0	0	1	1	0	0	0	1	0	0	0	0	0	0
55	16	M	2	0	10.2	secondary	1	1	1	1	1	1	1	1	1	1	0	0	0	0	0	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0
56	11	M	1	1	15.2	primary	1	0	0	1	1	0	0	0	0	0	0	0	0	0	0	1	1	0	0	1	1	0	0	0	0	0	0	0	0	0
57	42	F	10	0	13.4	secondary	1	1	1	1	0	1	1	1	1	1	1	0	1	0	0	1	0	1	0	1	0	0	0	1	0	0	0	0	0	0
58	13	M	3	1	7.4	primary	1	0	0	1	0	1	1	1	0	0	1	1	1	0	0	1	0	0	1	0	0	0	1	0	0	0	0	0	0	0
59	31	F	4	1	11.1	tertiary	1	0	0	1	1	1	1	1	1	0	0	0	1	1	1	1	0	0	1	0	0	0	0	1	0	0	0	0	0	0
60	38	F	1	0	4.6	secondary	1	1	0	1	1	0	0	1	1	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	0	0	0
61	30	M	10	0	0.5	secondary	0	1	1	1	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	1	0	0	0	0	0	0	0	0	0	0
62	34	F	2	1	8.1	secondary	0	0	1	1	1	1	1	1	1	0	1	0	0	0	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0
63	47	M	1	0	7.6	secondary	0	1	1	1	1	1	0	0	0	0	1	0	1	0	0	0	1	0	0	0	0	0	1	0	0	1	0	0	1	1
64	14	F	2	1	26.1	secondary	0	1	0	1	1	1	1	0	0	0	1	1	1	0	0	1	1	0	0	0	0	0	0	1	0	0	0	0	0	0
65	59	M	2	1	11.6	secondary	1	0	0	1	1	1	1	1	1	1	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
66	34	M	2	1	50	primary	1	0	1	1	1	1	1	1	1	0	1	0	1	0	1	0	0	0	1	0	0	0	0	1	0	0	0	0	0	0
67	29	F	2	1	20	primary	0	0	0	1	1	0	0	0	0	0	1	0	0	0	1	1	1	0	0	0	0	0	0	1	0	0	0	0	0	0
68	50	M	2	1	12.5	primary	1	1	1	0	1	1	0	1	1	1	1	0	1	1	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0
69	37	M	1	0	10.5	none	1	0	0	0	0	1	1	1	1	1	1	0	0	0	1	1	0	0	0	0	0	0	0	0	1	0	0	0	1	1
70	53	M	2	1	1.8	secondary	0	1	0	1	0	0	0	1	1	0	0	0	1	1	0	0	0	0	1	0	0	0	1	0	0	1	0	0	1	0
71	43	M	2	1	1.1	none	1	1	0	0	1	0	0	1	1	1	0	0	1	0	0	1	0	0	0	1	0	0	1	0	0	0	0	0	0	0
72	30	M	4	1	29.4	primary	0	0	1	0	1	1	1	0	0	0	1	0	1	0	1	1	1	0	0	0	1	0	0	0	0	1	0	0	1	0
73	45	M	1	1	1.5	primary	1	1	1	0	0	1	0	0	0	0	1	0	0	0	0	0	1	0	0	1	0	0	1	0	0	0	0	1	1	0
74	48	M	3	0	4.1	none	1	0	1	1	1	1	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0
75	11	M	2	1	9.2	secondary	1	1	1	1	1	1	0	1	1	0	1	1	1	0	1	1	0	0	1	0	1	0	0	0	0	0	0	0	0	0
76	1	M	1	1	11.2	none	0	1	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	1	1	0	0	0	0	0	0
77	16	M	2	1	7.2	none	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0
78	11	M	2	1	9.4	secondary	0	0	1	1	1	1	1	1	1	1	0	1	0	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0
79	28	M	2	1	50	none	0	1	0	1	1	0	0	1	1	0	1	0	0	0	1	1	0	0	1	0	0	0	0	0	0	0	0	0	0	0
80	49	F	4	1	3.5	tertiary	1	0	1	1	1	1	0	0	0	0	1	0	1	1	1	0	1	0	0	0	0	0	1	0	0	0	0	0	0	0
81	26	F	4	0	0.5	primary	1	1	1	1	1	1	1	1	1	0	0	0	1	0	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0
82	5	F	1	1	12.8	none	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	1	0	0	0	0	0	0	0	0	0	0
83	42	M	1	0	8.2	none	1	0	0	0	1	1	1	0	0	0	1	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0
84	42	F	4	1	9.8	primary	1	1	0	1	0	1	1	1	1	1	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
85	33	M	1	1	20.2	primary	0	1	0	0	1	1	1	0	0	0	1	0	1	0	0	1	1	0	0	0	0	0	1	0	0	0	0	0	0	0
86	34	M	3	1	11.6	primary	1	1	1	1	1	0	0	1	1	0	0	1	1	1	1	0	0	0	1	0	1	0	1	0	0	0	0	1	1	0
87	58	M	1	1	15.4	secondary	0	0	0	1	1	1	1	0	0	0	0	0	1	0	0	1	1	0	0	1	0	0	0	1	0	0	0	0	0	0
88	15	F	10	1	14.7	secondary	0	0	0	1	1	1	0	1	1	1	0	0	1	0	1	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0
89	17	F	4	1	8.1	primary	0	0	0	1	1	1	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	0	1	0	0	0	0	0	0	0
90	47	M	2	1	9.4	secondary	1	0	0	1	1	0	0	1	1	0	0	0	1	1	0	1	0	0	1	1	0	0	0	0	0	1	0	0	1	0
91	46	M	2	1	8.9	primary	0	1	1	1	1	1	1	1	1	0	1	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	0	0	0
92	38	M	1	1	3.5	primary	1	1	1	1	0	1	1	1	1	1	0	0	1	0	1	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0
93	19	M	1	1	41.5	secondary	0	0	1	1	1	0	0	1	0	0	1	0	1	1	1	1	0	0	1	0	0	0	0	0	0	0	1	0	1	0
94	23	M	4	0	0.7	secondary	1	0	1	1	1	1	0	1	1	0	0	0	1	0	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0
95	42	M	2	1	0.5	primary	0	0	1	1	1	1	0	1	1	0	0	0	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0
96	33	F	1	1	2.9	primary	0	1	1	1	1	0	0	0	0	0	1	0	1	0	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0
97	39	F	1	1	2.6	secondary	1	0	1	1	0	1	0	0	0	0	0	1	0	0	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0
98	48	F	2	1	11.6	tertiary	1	1	1	1	1	1	0	1	1	1	0	0	1	1	0	0	0	0	0	1	0	0	1	1	0	0	0	0	0	0
99	35	M	4	1	1.4	none	0	1	0	1	0	1	1	1	1	1	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
100	27	M	3	1	21.4	secondary	0	1	0	0	1	0	0	1	1	1	1	1	1	1	0	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0

End of preview. Expand in Data Studio

Childhood Immunization Coverage & VPDs Dataset

Abstract

This dataset provides 30,000 simulated child immunization records (10,000 per scenario) of children 0-59 months in sub-Saharan Africa. Each record contains 40+ variables including vaccine-specific coverage (BCG, DTP, OPV, PCV, Rota, MCV, YF), barriers (stockout, cold chain, distance), VPD episodes, and outcomes. Three settings: urban EPI programme (17% fully immunized), rural health centre (3%), and conflict/remote area (0%).

1. Introduction

Global DTP3 coverage reached 85% in 2024, but SSA lags at ~72% (WUENIC 2024). An estimated 14.5 million zero-dose children exist globally, concentrated in SSA and South Asia. Measles cases spiked 400% in SSA post-COVID disruptions. PCV3 coverage in SSA is ~50% and rotavirus ~40%. Cold chain challenges lead to ~25% vaccine wastage.

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

2. Methodology

2.1 Parameterization

Parameter	Value	Source
DTP3 global	85%	WUENIC 2024
DTP3 SSA	~72%	WUENIC 2024
MCV1 SSA	~69%	WUENIC 2024
Zero-dose children	14.5M globally	WHO/UNICEF 2024
PCV3 SSA	~50%	WHO Africa 2022
Rotavirus SSA	~40%	WHO Africa 2022
Measles CFR (malnourished)	3-6%	Lancet 2024
Vaccine wastage SSA	~25%	Gavi 2024

2.2 Scenario Design

Scenario	Setting	DTP3	MCV1	Zero-Dose	VPD Rate
Urban programme	Urban EPI	57%	74%	17%	13%
Rural health centre	Rural HC	36%	55%	33%	22%
Conflict/remote	No EPI	8%	23%	66%	47%

3. Schema

Column	Type	Description
id	int	Unique identifier
age_months	int	Age in months (0-59)
sex	categorical	M / F
birth_order	int	Birth order
distance_to_facility_km	float	Distance to health facility
maternal_education	categorical	none / primary / secondary / tertiary
anc_4_plus	binary	4+ ANC visits
facility_delivery	binary	Facility delivery
health_card_available	binary	Health card available
bcg	binary	BCG vaccinated
opv0 / opv1 / opv3	binary	OPV doses
dtp1 / dtp2 / dtp3	binary	DTP/Penta doses
pcv3	binary	PCV3 vaccinated
rota_complete	binary	Rotavirus complete
mcv1 / mcv2	binary	Measles vaccine doses
yellow_fever	binary	Yellow fever vaccine
vitamin_a	binary	Vitamin A supplementation
zero_dose	binary	Zero-dose child
fully_immunized	binary	Fully immunized for age
dropout_dtp1_dtp3	binary	DTP1-DTP3 dropout
stockout_experienced	binary	Stockout barrier
cold_chain_break	binary	Cold chain break
vaccine_refusal	binary	Vaccine refusal
travel_cost_barrier	binary	Travel cost barrier
measles_episode	binary	Measles episode
pertussis_episode	binary	Pertussis episode
rotavirus_diarrhoea	binary	Rotavirus diarrhoea
pneumococcal_pneumonia	binary	Pneumococcal pneumonia
any_vpd	binary	Any VPD episode
hospitalised	binary	Hospitalised for VPD
died	binary	Died from VPD

4. Validation

Validation Report

Key validation checks:

DTP3 gradient: 57% → 36% → 8% across settings ✓
Zero-dose: 17% → 33% → 66% ✓
VPD episodes: 13% → 22% → 47% (unvaccinated at higher risk) ✓
Measles vs MCV1: Unvaccinated 5x higher measles risk ✓
Education effect: Higher maternal education → higher coverage ✓
Distance barrier: Coverage drops with distance ✓

5. Usage

from datasets import load_dataset
dataset = load_dataset("electricsheepafrica/childhood-immunization-vpd", "rural_health_centre")
df = dataset["train"].to_pandas()

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

6. Limitations

Simulated: Not derived from real EPI or DHS data.
No serological: No antibody levels or seroconversion data.
No supply chain: No vaccine vial monitor or logistics data.
Snapshot: No longitudinal immunization schedule tracking.
No HPV/COVID: Only childhood EPI antigens modelled.

7. References

WHO/UNICEF (2024). WUENIC immunization coverage estimates.
WHO (2024). Immunization coverage fact sheet.
UNICEF (2024). Measles outbreak SSA post-COVID.
Gavi (2024). Cold chain and vaccine delivery challenges.
WHO Africa (2022). Status of immunization coverage.
WHO (2024). cVDPV outbreaks worldwide.
Lancet (2024). Declining vaccination and VPD reemergence.

Citation

@dataset{esa_immunization_2025,
  title={Childhood Immunization Coverage and VPDs Dataset},
  author={Electric Sheep Africa},
  year={2025},
  publisher={Hugging Face},
  url={https://huggingface.co/datasets/electricsheepafrica/childhood-immunization-vpd}
}

License

CC-BY-4.0

Downloads last month: 33