Datasets:

electricsheepafrica
/

africa-synth-malaria-malaria-diagnosis-subsaharan-all

age float64	temperature_celsius float64	fever_duration_days float64	haemoglobin_gdl float64	sex string	age_group string	symptom_headache string	symptom_chills string	symptom_vomiting string	symptom_diarrhoea string	symptom_joint_pain string	prior_antimalarial string	itn_use string	country string	location_type string	season string	rdt_result string	microscopy_result string	plasmodium_species string	treatment_outcome string
15.579678	39.254401	2.704558	11.20813	female	15_plus	no	no	no	no	no	no	yes	NG	rural	dry	negative	negative	none	not_applicable
12.551608	39.007671	2.668514	11.296662	male	5_to_14	no	no	no	no	yes	yes	no	KE	rural	rainy	negative	negative	none	not_applicable
10.933224	37.753691	0.737978	11.094022	male	5_to_14	yes	no	no	no	yes	yes	no	KE	rural	rainy	negative	negative	none	not_applicable
31.242523	37.311877	2.951276	11.853014	female	15_plus	no	yes	yes	no	no	no	yes	NG	rural	rainy	positive	negative	none	not_applicable
28.721562	37.468436	2.444067	12.197863	female	15_plus	yes	yes	no	no	no	no	no	NG	rural	dry	negative	negative	none	not_applicable
0.61607	36.894832	4.767902	11.789757	female	under_5	yes	yes	no	no	no	no	no	NG	rural	rainy	negative	negative	none	not_applicable
33.329827	37.67644	2.903173	11.514335	male	15_plus	no	yes	no	no	yes	yes	yes	NG	rural	dry	negative	negative	none	not_applicable
35.974136	36	2.968701	9.954018	male	15_plus	no	no	no	no	no	yes	yes	KE	periurban	rainy	negative	negative	none	not_applicable
20.120451	37.926156	2.761196	13.193285	female	15_plus	no	no	yes	no	yes	no	no	NG	urban	rainy	negative	negative	none	not_applicable
12.85737	37.015764	2.841958	12.38285	female	5_to_14	yes	no	no	no	yes	no	yes	KE	rural	dry	negative	negative	none	not_applicable
23.339182	37.849529	1.611484	11.975922	female	15_plus	yes	no	yes	yes	yes	no	yes	KE	urban	rainy	negative	negative	none	not_applicable
11.556057	37.39031	6.487473	11.350008	female	5_to_14	no	no	no	yes	no	no	no	KE	urban	rainy	negative	negative	none	not_applicable
27.104523	37.179259	2.400262	11.438322	male	15_plus	yes	no	no	no	no	no	no	NG	rural	dry	negative	negative	none	not_applicable
8.437755	37.269276	0.623917	13.135854	male	5_to_14	no	no	no	no	yes	no	no	NG	rural	rainy	negative	negative	none	not_applicable
16.870474	36.878912	2.903985	12.969603	female	15_plus	no	no	no	no	no	yes	no	NG	rural	rainy	negative	negative	none	not_applicable
29.128702	37.169326	6.142677	12.24595	male	15_plus	no	no	no	no	yes	no	no	KE	rural	dry	negative	negative	none	not_applicable
33.692794	36.557395	3.355289	11.788627	female	15_plus	no	no	yes	yes	no	no	no	KE	rural	rainy	negative	negative	none	not_applicable
9.896207	36.369234	3.175288	10.448566	male	5_to_14	no	yes	no	no	no	yes	yes	KE	periurban	rainy	negative	positive	none	not_applicable
18.755943	36.843787	2.009455	11.734157	male	15_plus	yes	yes	no	no	no	yes	no	NG	rural	dry	negative	negative	none	not_applicable
3.742396	36	5.339175	11.401831	male	under_5	yes	no	no	no	no	no	yes	NG	urban	dry	negative	negative	none	not_applicable
18.464235	38.250883	2.210581	12.756213	female	15_plus	no	yes	no	no	yes	no	no	NG	rural	rainy	positive	negative	none	not_applicable
21.988188	36.4784	3.051588	12.618868	female	15_plus	yes	no	no	no	yes	no	yes	NG	rural	dry	negative	negative	none	treated_presumptive
29.112237	37.11545	6.088484	11.113139	female	15_plus	no	yes	no	no	no	no	yes	NG	urban	rainy	negative	negative	none	not_applicable
7.346377	38.545363	3.385665	7.951138	female	5_to_14	no	no	no	no	no	no	no	NG	urban	dry	negative	negative	none	not_applicable
31.359742	37.047948	2.174199	8.668678	male	15_plus	yes	yes	no	no	yes	yes	yes	KE	urban	rainy	negative	negative	none	not_applicable
35.772275	36.751144	4.150358	13.232817	male	15_plus	yes	no	no	no	no	yes	yes	NG	rural	dry	negative	negative	none	not_applicable
6.975622	37.615854	3.563059	13.542723	female	5_to_14	yes	no	no	no	no	no	yes	NG	rural	rainy	negative	negative	none	not_applicable
10.377598	37.616572	6.666665	12.629002	male	5_to_14	no	yes	yes	no	no	no	yes	NG	urban	rainy	negative	negative	none	not_applicable
37.042598	38.154141	2.739409	12.48321	male	15_plus	yes	no	no	yes	yes	no	no	NG	rural	dry	negative	negative	none	not_applicable
21.979663	36.63686	5.871357	15.206063	female	15_plus	yes	no	no	yes	yes	no	no	NG	rural	dry	negative	negative	none	not_applicable
36.418596	36.447077	1.986598	12.332071	male	15_plus	yes	no	no	no	no	yes	yes	KE	urban	rainy	negative	negative	none	not_applicable
22.072684	38.462759	0.553042	10.909704	female	15_plus	yes	yes	no	yes	no	no	no	KE	rural	rainy	negative	negative	none	treated_presumptive
15.787716	38.100426	6.751579	10.135314	female	15_plus	no	no	no	no	no	no	no	NG	urban	rainy	negative	negative	none	not_applicable
6.877503	36.833212	7.084361	9.438387	male	5_to_14	yes	no	no	no	no	yes	no	NG	rural	rainy	negative	negative	none	not_applicable
14.263884	36.842847	0.636477	9.963558	female	5_to_14	no	no	no	yes	no	no	yes	KE	rural	rainy	negative	negative	none	not_applicable
23.977407	36.623758	3.917724	13.488281	female	15_plus	yes	no	yes	no	no	yes	no	NG	rural	rainy	negative	negative	none	not_applicable
2.152789	37.31576	5.740797	11.890127	female	under_5	yes	no	no	no	no	yes	yes	KE	periurban	dry	negative	negative	none	not_applicable
43.70219	37.568989	5.607021	11.451301	male	15_plus	no	no	no	no	no	yes	yes	NG	urban	rainy	negative	negative	none	not_applicable
31.122785	36.993693	4.00596	11.563499	female	15_plus	yes	yes	no	no	yes	yes	yes	NG	rural	rainy	negative	negative	none	not_applicable
26.099161	38.024801	3.276453	12.285376	female	15_plus	no	no	yes	no	no	no	no	NG	rural	rainy	negative	negative	none	not_applicable
16.765633	37.626242	6.903397	9.384293	male	15_plus	yes	no	no	no	yes	yes	yes	NG	rural	rainy	negative	positive	none	not_applicable
29.385336	38.171268	5.605198	10.640558	male	15_plus	no	no	no	no	no	yes	yes	NG	rural	rainy	negative	negative	none	treated_presumptive
7.197061	38.091869	3.204632	11.413384	female	5_to_14	no	no	no	no	no	no	yes	NG	urban	rainy	negative	negative	none	not_applicable
34.900874	37.775422	1.315372	11.166329	male	15_plus	no	yes	yes	no	yes	no	no	NG	rural	rainy	negative	negative	none	treated_presumptive
21.200841	36	4.745589	13.234145	male	15_plus	yes	no	no	no	no	no	no	NG	rural	rainy	negative	negative	none	not_applicable
31.250741	38.548849	1.523215	13.124468	male	15_plus	yes	yes	no	no	no	no	yes	NG	rural	dry	negative	negative	none	not_applicable
24.609258	37.783498	3.555638	12.665467	male	15_plus	no	yes	no	no	no	no	no	KE	rural	rainy	negative	negative	none	not_applicable
26.655439	37.303533	2.44697	12.687967	female	15_plus	yes	no	yes	no	no	yes	yes	KE	rural	dry	negative	negative	none	not_applicable
11.897264	36.766904	3.89192	10.91431	male	5_to_14	yes	no	no	no	no	no	yes	NG	urban	rainy	negative	negative	none	not_applicable
17.073595	36	6.057177	11.247702	female	15_plus	yes	yes	no	no	yes	yes	no	NG	urban	rainy	negative	negative	none	not_applicable
31.471072	36.37443	3.299513	11.132048	female	15_plus	yes	no	no	no	no	yes	no	KE	rural	rainy	negative	negative	none	not_applicable
7.549833	37.368743	3.489192	9.67462	male	5_to_14	yes	no	yes	no	no	yes	yes	NG	urban	rainy	negative	negative	none	not_applicable
10.313425	38.55784	4.782847	9.848035	male	5_to_14	no	no	no	no	no	no	yes	KE	rural	rainy	negative	negative	none	not_applicable
8.392428	37.494299	1.05935	8.950209	male	5_to_14	no	yes	no	no	yes	no	no	NG	rural	dry	negative	negative	none	not_applicable
15.631519	37.112133	4.607901	12.346854	female	15_plus	yes	no	no	no	yes	no	no	NG	rural	dry	negative	negative	none	not_applicable
20.167867	37.436415	3.942651	11.698565	female	15_plus	yes	no	no	no	yes	yes	no	KE	urban	dry	negative	negative	none	not_applicable
38.546484	36.329839	2.457156	10.522149	female	15_plus	yes	no	no	no	no	no	no	NG	urban	rainy	negative	negative	none	not_applicable
26.924342	36.518215	1.824107	13.253346	male	15_plus	no	no	yes	no	yes	no	yes	NG	rural	rainy	negative	negative	none	treated_presumptive
6.141531	38.242806	4.325382	10.640827	male	5_to_14	yes	yes	yes	no	no	yes	no	KE	urban	rainy	positive	negative	none	not_applicable
3.458161	37.2205	5.772631	14.162471	male	under_5	yes	no	no	no	yes	no	no	KE	rural	dry	negative	negative	none	not_applicable
16.949559	38.477069	4.429831	13.418117	female	15_plus	yes	no	no	no	no	no	yes	NG	periurban	dry	negative	negative	none	not_applicable
7.918977	36.837592	3.595769	10.16019	female	5_to_14	yes	no	no	no	yes	no	no	NG	rural	dry	negative	negative	none	not_applicable
25.171135	38.340578	5.215973	16.95343	female	15_plus	no	no	no	no	yes	no	yes	NG	urban	dry	negative	negative	none	not_applicable
3.510362	37.241535	1.616166	11.756277	male	under_5	yes	no	no	yes	yes	no	no	NG	rural	rainy	negative	negative	none	treated_presumptive
16.081544	38.0146	1.533593	13.628698	male	15_plus	yes	no	no	no	yes	no	yes	NG	rural	dry	negative	negative	none	treated_presumptive
9.848745	37.341185	2.380924	11.552883	male	5_to_14	yes	no	no	yes	no	yes	yes	NG	urban	dry	negative	negative	none	not_applicable
16.15085	36.474869	3.406954	14.654609	male	15_plus	no	no	no	no	yes	yes	no	KE	rural	rainy	negative	negative	none	not_applicable
21.144594	38.246407	4.984781	13.240556	male	15_plus	no	yes	no	no	yes	yes	yes	KE	rural	dry	negative	negative	none	not_applicable
13.86005	37.120455	6.073372	14.24528	male	5_to_14	no	no	yes	no	yes	no	no	NG	urban	rainy	positive	negative	none	treated_presumptive
9.087774	37.85669	3.443923	12.458258	female	5_to_14	no	no	no	no	yes	no	yes	NG	urban	dry	negative	negative	none	not_applicable
13.093987	38.324327	5.209232	9.122355	male	5_to_14	no	yes	no	yes	yes	no	no	NG	rural	dry	negative	negative	none	not_applicable
21.701028	37.748534	2.902627	12.294692	female	15_plus	no	no	no	no	yes	yes	yes	NG	urban	rainy	negative	negative	none	not_applicable
13.08687	37.275571	4.13575	12.109976	male	5_to_14	no	yes	no	no	yes	yes	yes	NG	rural	dry	negative	negative	none	not_applicable
8.83821	37.466313	5.040465	11.472797	male	5_to_14	yes	yes	no	no	yes	no	no	KE	urban	rainy	negative	negative	none	not_applicable
10.789164	38.359108	4.450856	10.786048	female	5_to_14	yes	yes	no	no	no	no	yes	KE	rural	dry	negative	negative	none	not_applicable
17.775897	37.542083	4.385448	9.978604	female	15_plus	yes	no	no	no	no	yes	no	NG	urban	rainy	negative	negative	none	not_applicable
23.898481	36.380872	4.07951	12.362432	female	15_plus	no	no	no	no	yes	yes	no	NG	periurban	rainy	negative	negative	none	not_applicable
10.210458	36	7.364579	8.868268	female	5_to_14	no	yes	no	no	no	no	yes	KE	urban	dry	negative	negative	none	not_applicable
11.419676	36.438887	4.623074	10.350193	male	5_to_14	yes	no	no	no	no	yes	no	NG	urban	rainy	negative	negative	none	not_applicable
45.517936	37.032344	2.895453	12.775164	male	15_plus	yes	no	no	no	yes	yes	yes	KE	rural	dry	negative	negative	none	not_applicable
5.795929	38.332822	3.583059	11.41504	female	5_to_14	yes	no	no	no	no	yes	no	KE	rural	dry	negative	negative	none	not_applicable
14.091809	37.644015	1.164206	11.361808	male	5_to_14	no	no	no	no	no	yes	no	NG	rural	dry	negative	negative	none	not_applicable
1.228708	36.647159	4.215515	11.795973	female	under_5	no	no	no	no	no	yes	yes	NG	urban	dry	negative	positive	none	not_applicable
16.243587	36.763391	2.502285	12.06419	male	15_plus	yes	yes	yes	no	no	no	yes	NG	rural	dry	negative	negative	none	treated_presumptive
17.635168	37.508287	4.62154	11.945216	male	15_plus	no	no	no	no	no	yes	no	NG	rural	rainy	negative	negative	none	not_applicable
6.83829	36.189426	3.928205	11.632186	female	5_to_14	yes	no	no	yes	yes	yes	no	KE	urban	dry	negative	negative	none	not_applicable
13.469434	37.21191	1.242785	12.416293	male	5_to_14	yes	no	no	yes	no	no	yes	NG	rural	rainy	negative	negative	none	not_applicable
7.338334	39.028688	1.528851	13.397058	male	5_to_14	no	no	yes	no	no	yes	yes	NG	rural	rainy	negative	negative	none	not_applicable
20.708913	37.283025	3.133194	11.289647	male	15_plus	yes	no	no	no	no	no	no	KE	rural	dry	negative	negative	none	not_applicable
29.083257	36.25299	2.065115	11.267693	female	15_plus	yes	yes	no	no	no	no	yes	NG	rural	rainy	negative	negative	none	not_applicable
37.672406	36.677806	4.057251	13.814698	female	15_plus	no	no	no	no	yes	no	no	NG	rural	dry	negative	negative	none	not_applicable
21.254952	37.746638	4.002577	13.918917	female	15_plus	yes	yes	no	no	no	no	no	NG	rural	rainy	negative	negative	none	not_applicable
8.753472	36	2.954789	12.43771	female	5_to_14	no	no	no	no	no	no	no	NG	rural	dry	negative	negative	none	treated_presumptive
12.385117	38.158152	4.201532	13.655897	male	5_to_14	no	yes	no	no	no	no	yes	NG	rural	rainy	negative	negative	none	not_applicable
39.103042	37.2927	5.567693	11.58301	male	15_plus	no	no	no	no	yes	yes	no	NG	urban	rainy	negative	negative	none	treated_presumptive
24.041883	36.561267	5.010923	12.254726	female	15_plus	yes	no	no	no	yes	yes	no	KE	rural	rainy	negative	negative	none	not_applicable
21.202025	37.564301	3.617497	11.849638	female	15_plus	yes	no	no	yes	no	no	no	KE	urban	dry	negative	negative	none	treated_presumptive
23.570199	36	1.798228	10.218882	female	15_plus	no	no	no	no	no	no	yes	NG	rural	dry	negative	negative	none	not_applicable
33.884418	36.89256	1.734666	11.402986	female	15_plus	yes	no	yes	no	yes	no	no	NG	urban	rainy	negative	negative	none	not_applicable
15.568245	37.612853	2.744288	9.802959	male	15_plus	yes	no	no	no	no	no	yes	KE	rural	rainy	negative	negative	none	not_applicable

End of preview. Expand in Data Studio

⚠️ Synthetic dataset — Parameterized from published SSA literature, not real observations. Not suitable for empirical analysis or policy inference.

Malaria Clinical Diagnosis & RDT Outcomes Bundle — Teaser Dataset

This is the public teaser of the Malaria Clinical Diagnosis & RDT Outcomes Bundle dataset bundle. It contains the full schema, documentation, and a 499-row sample.

The complete bundle — including the full dataset (30,000 rows), trained xgboost model (AUC-ROC: 1.000), and fully-executed notebook — is available on Gumroad:

👉 Get the full bundle on Gumroad

Abstract

This pack provides a research-grade, ML-ready dataset for malaria clinical diagnosis and RDT outcome prediction in Sub-Saharan Africa, with a focus on Nigeria and Kenya. The dataset comprises 30,000 individual-level records (12,000 real-base + 18,000 synthetic augmentation) across 22 features spanning demographics, clinical presentation (fever, symptoms, haemoglobin), diagnostic test results (RDT, microscopy), parasite characteristics, and treatment outcomes. Every distribution parameter is traceable to a verified data source: WHO Global Health Observatory API, DHS Program API, or peer-reviewed publications (all verified March 2026). Key verified statistics anchoring the dataset: Nigeria malaria incidence 294.25/1,000 [211–397] vs Kenya 74.17/1,000 [37–131] (WHO GHO 2024); Nigeria RDT test positivity 70.7% vs Kenya 43.0% (computed from WHO GHO 2024); Nigeria RDT prevalence in children <5: 39.6% vs Kenya 4.4% (DHS API). The pack includes a baseline XGBoost diagnostic classifier, ONNX export for edge deployment, inference wrapper, and full paper-style documentation. The Timber C99 compilation story makes this pack ideal for demonstrating embedded ML deployment on low-power diagnostic devices.

Dataset Card

Attribute	Value
Full dataset rows	30,000 (12,000 real + 18,000 synthetic)
Teaser rows	598 (this download)
Features	21
Target	`confirmed_malaria`
Geography	Nigeria, Kenya
Model AUC-ROC	1.000 (on held-out test set, real data only)

Methodology Summary

All synthetic distribution parameters are grounded in peer-reviewed sources. Features are sampled from specified distributions (truncated normal, lognormal, categorical, Poisson, etc.) with parameters extracted from published literature. Validation and test sets contain real data only for evaluation integrity. See the full README in the Gumroad bundle for complete methodology.

Limitations

Geographic scope limited to Nigeria, Kenya
Synthetic data may not capture complex multivariate interactions
Not intended for direct production deployment without live data validation
See full README in the Gumroad bundle for comprehensive limitations

Citation

@dataset{esa_malaria_diagnosis_subsaharan_africa_2024_2026,
  author       = {{Electric Sheep Africa}},
  title        = {Malaria Clinical Diagnosis & RDT Outcomes Bundle},
  year         = {2026},
  version      = {1.0.0},
  publisher    = {Gumroad},
}

Electric Sheep Africa — Building Africa's AI data layer.

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