Datasets:

electricsheepafrica
/

africa-synth-mental-health-mercury-exposure-asgm-all

record_id string	scenario string	year int64	setting string	age int64	sex string	role string	is_miner int64	is_child int64	years_in_mining int64	amalgamation_method string	uses_mercury int64	burns_amalgam_open int64	ppe_use int64	mercury_free_method int64	urine_hg_ug_g_creat float64	hair_hg_ug_g float64	blood_hg_ugL float64	elevated_urine_hg int64	elevated_hair_hg int64	tremor int64	ataxia int64	memory_loss int64	insomnia int64	visual_disturbance int64	proteinuria int64	reduced_egfr int64	fish_consumption int64	fish_hg_contaminated int64	anaemia int64	child_neurodevelopmental int64	minamata_aware int64	formalization_registered int64	soil_hg_ppm float64	water_hg_ugL float64	any_health_effect int64	hospitalised int64
WES-00000	west_africa_alluvial	2,022	rural_mining	41	female	miner_amalgam	1	0	1	vat_leaching	0	0	0	0	2.6	3.81	5.9	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	5.32	0.44	0	0
WES-00001	west_africa_alluvial	2,022	rural_mining	38	male	miner_amalgam	1	0	10	concentrate	1	0	0	0	24.4	4.16	4.8	1	0	1	0	0	0	0	1	0	0	0	0	0	0	0	2.39	0.86	1	1
WES-00002	west_africa_alluvial	2,022	peri_urban	14	female	miner_other	1	1	4	whole_ore	1	1	0	0	7.7	5.04	11.4	0	1	0	0	1	0	0	0	0	0	0	0	0	0	0	3.47	0.36	1	0
WES-00003	west_africa_alluvial	2,020	rural_mining	37	male	miner_amalgam	1	0	6	concentrate	1	1	0	0	14.2	7.17	7.5	0	1	0	0	0	1	0	0	0	0	0	0	0	0	0	1.5	0.9	0	0
WES-00004	west_africa_alluvial	2,017	rural_mining	20	female	miner_other	1	0	0	whole_ore	1	1	0	0	6.6	5.3	8.1	0	1	0	0	0	0	1	0	0	1	1	1	0	0	0	0.95	0.37	0	0
WES-00005	west_africa_alluvial	2,016	peri_urban	29	female	miner_other	1	0	9	whole_ore	1	1	0	0	1.9	5.43	4.9	0	1	0	0	1	0	0	0	0	1	1	0	0	0	0	8.23	0.55	1	0
WES-00006	west_africa_alluvial	2,023	rural_mining	20	male	miner_other	1	0	3	vat_leaching	0	0	0	0	6.8	2.05	3.9	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	5.69	0.6	1	0
WES-00007	west_africa_alluvial	2,016	rural_mining	50	male	child_worker	0	0	0	none	0	0	0	0	1.6	4.11	7.1	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0.5	0.44	0	0
WES-00008	west_africa_alluvial	2,010	rural_mining	33	female	miner_amalgam	1	0	7	concentrate	1	1	0	0	3.5	4.6	6	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	2.4	3.75	0	0
WES-00009	west_africa_alluvial	2,019	urban	28	male	community_resident	0	0	0	none	0	0	0	0	4.2	3.29	2.1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.25	0.46	0	0
WES-00010	west_africa_alluvial	2,023	rural_mining	57	male	community_resident	0	0	0	none	0	0	0	0	10.3	7.69	1.7	0	1	0	0	0	0	0	0	0	1	0	1	0	0	0	0.45	0.17	0	0
WES-00011	west_africa_alluvial	2,010	rural_mining	34	male	gold_shop_worker	1	0	13	concentrate	1	1	0	0	12.8	4.2	28.1	0	0	0	0	1	0	0	1	0	1	0	1	0	0	0	0.82	0.34	1	0
WES-00012	west_africa_alluvial	2,020	peri_urban	30	male	miner_other	1	0	15	concentrate	1	1	0	0	2.5	5.66	22.6	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	2.84	2.02	0	0
WES-00013	west_africa_alluvial	2,020	peri_urban	28	male	miner_amalgam	1	0	12	whole_ore	1	1	0	0	18.1	16.1	12.4	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	1.17	0.64	0	0
WES-00014	west_africa_alluvial	2,019	peri_urban	10	male	community_resident	0	1	0	none	0	0	0	0	4.5	4.04	1.1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1.18	0.6	0	0
WES-00015	west_africa_alluvial	2,021	rural_mining	21	male	miner_amalgam	1	0	9	none_gravity	0	0	0	0	16.1	1.44	2.7	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	1.39	0.55	0	0
WES-00016	west_africa_alluvial	2,017	peri_urban	16	male	miner_other	1	1	10	none_gravity	0	0	0	0	0.8	2.32	3.2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	3.86	0.36	0	0
WES-00017	west_africa_alluvial	2,020	rural_mining	30	male	gold_shop_worker	1	0	1	whole_ore	1	0	1	0	11.7	9.65	17.7	0	1	1	0	0	0	0	0	0	0	0	1	0	0	0	1.5	0.95	1	0
WES-00018	west_africa_alluvial	2,019	rural_mining	19	male	community_resident	0	0	0	none	0	0	0	0	1.2	2.86	2.2	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0.38	0.15	0	0
WES-00019	west_africa_alluvial	2,021	peri_urban	45	male	miner_other	1	0	9	concentrate	1	1	0	0	5.1	5.68	7.9	0	1	0	0	0	0	0	1	0	1	1	0	0	0	0	1.59	0.58	1	0
WES-00020	west_africa_alluvial	2,022	rural_mining	18	male	miner_other	1	0	9	concentrate	1	0	0	0	5.4	6.08	4.8	0	1	0	0	1	0	0	0	0	1	1	0	0	0	1	0.41	0.15	1	0
WES-00021	west_africa_alluvial	2,012	peri_urban	13	male	child_worker	0	1	0	none	0	0	0	0	14.5	2.24	2.3	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	1.03	1.84	0	0
WES-00022	west_africa_alluvial	2,019	peri_urban	48	male	miner_other	1	0	5	whole_ore	1	0	0	0	4.8	3.29	10.5	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1.76	0.59	0	0
WES-00023	west_africa_alluvial	2,016	rural_mining	39	female	miner_other	1	0	9	vat_leaching	0	0	0	0	2.8	1.21	2.1	0	0	0	0	0	0	0	0	0	1	1	1	0	1	0	3.1	0.58	0	0
WES-00024	west_africa_alluvial	2,019	rural_mining	35	female	gold_shop_worker	1	0	0	concentrate	1	1	0	0	4	3.66	4.2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1.42	0.13	0	0
WES-00025	west_africa_alluvial	2,010	peri_urban	25	female	miner_other	1	0	0	concentrate	1	0	0	0	15.3	7.68	10.5	0	1	0	1	1	0	0	0	0	0	0	0	0	0	1	1.22	1.6	1	0
WES-00026	west_africa_alluvial	2,010	rural_mining	24	male	miner_other	1	0	5	concentrate	1	1	0	0	7.3	1.16	6.6	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1.79	0.82	0	0
WES-00027	west_africa_alluvial	2,024	peri_urban	11	male	child_worker	0	1	0	none	0	0	0	0	10.4	1.65	6.9	0	0	0	0	1	0	1	0	0	1	1	0	0	0	0	0.24	0.38	1	0
WES-00028	west_africa_alluvial	2,014	rural_mining	37	male	community_resident	0	0	0	none	0	0	0	0	5.6	2.06	2.1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0.96	0.82	0	0
WES-00029	west_africa_alluvial	2,024	peri_urban	26	male	gold_shop_worker	1	0	15	concentrate	1	0	0	0	1.7	2.52	5	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	3.13	0.42	0	0
WES-00030	west_africa_alluvial	2,017	rural_mining	40	female	miner_amalgam	1	0	6	concentrate	1	1	0	0	9.3	9.91	2	0	1	0	0	0	0	0	1	0	0	0	1	0	1	0	2.5	0.57	1	0
WES-00031	west_africa_alluvial	2,010	rural_mining	10	male	gold_shop_worker	1	1	2	vat_leaching	0	0	1	0	20.6	3.07	3.3	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	3.32	0.9	0	0
WES-00032	west_africa_alluvial	2,011	rural_mining	10	male	miner_amalgam	1	1	1	concentrate	1	0	0	0	10.1	5.19	4.2	0	1	0	0	0	1	1	0	0	1	1	0	0	0	0	1.77	0.28	0	0
WES-00033	west_africa_alluvial	2,019	rural_mining	36	female	miner_amalgam	1	0	12	whole_ore	1	0	0	0	13.1	5.87	17.3	0	1	0	0	0	0	0	1	0	1	0	1	0	0	0	2.43	0.62	1	0
WES-00034	west_africa_alluvial	2,013	rural_mining	18	male	community_resident	0	0	0	none	0	0	0	0	3.6	1.83	2.8	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0.39	1.57	0	0
WES-00035	west_africa_alluvial	2,021	rural_mining	54	male	community_resident	0	0	0	none	0	0	0	0	3.3	1.92	3.6	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.51	0.62	0	0
WES-00036	west_africa_alluvial	2,012	rural_mining	37	male	child_worker	0	0	0	none	0	0	0	0	2	0.88	2.9	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0.22	0.89	0	0
WES-00037	west_africa_alluvial	2,020	rural_mining	10	male	miner_amalgam	1	1	7	vat_leaching	0	0	0	0	2.1	1.11	2.3	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	1	0.73	0	0
WES-00038	west_africa_alluvial	2,016	rural_mining	33	female	miner_amalgam	1	0	4	whole_ore	1	0	0	0	5.5	5.94	11.2	0	1	0	0	0	0	0	0	0	1	1	1	0	0	0	1.27	0.44	0	0
WES-00039	west_africa_alluvial	2,018	rural_mining	36	male	miner_amalgam	1	0	8	none_gravity	0	0	0	0	6.4	3.2	2.2	0	0	0	1	0	0	0	0	0	1	0	0	0	0	0	2.72	0.03	1	0
WES-00040	west_africa_alluvial	2,012	urban	18	male	miner_other	1	0	5	concentrate	1	0	0	0	4.5	4.17	7.8	0	0	0	0	1	0	0	0	0	1	0	0	0	0	0	4.84	0.36	1	0
WES-00041	west_africa_alluvial	2,017	urban	13	male	community_resident	0	1	0	none	0	0	0	0	4.4	2.47	1.5	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1.43	0.46	0	0
WES-00042	west_africa_alluvial	2,019	peri_urban	33	female	miner_other	1	0	7	whole_ore	1	1	0	0	17	3.46	12.6	0	0	1	0	0	0	0	1	0	1	1	1	0	0	0	2.58	0.69	1	0
WES-00043	west_africa_alluvial	2,021	urban	10	male	gold_shop_worker	1	1	13	none_gravity	0	0	0	0	7.3	1.64	4	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0.93	0.71	0	0
WES-00044	west_africa_alluvial	2,021	peri_urban	33	male	miner_other	1	0	15	concentrate	1	1	0	0	31.5	3.27	15.8	1	0	1	1	0	0	0	1	0	1	0	0	0	0	0	5.75	4.73	1	0
WES-00045	west_africa_alluvial	2,024	rural_mining	30	female	miner_amalgam	1	0	8	concentrate	1	1	0	0	6.3	4.53	12.9	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	3.23	0.76	0	0
WES-00046	west_africa_alluvial	2,016	peri_urban	15	female	miner_other	1	1	12	concentrate	1	0	0	0	10.6	9.95	6.4	0	1	0	0	1	1	0	0	0	1	0	0	0	1	0	0.98	0.41	1	0
WES-00047	west_africa_alluvial	2,011	rural_mining	47	male	community_resident	0	0	0	none	0	0	0	0	3.3	1.8	7.1	0	0	0	0	0	0	0	0	0	1	1	1	0	0	0	1.14	0.58	0	0
WES-00048	west_africa_alluvial	2,024	rural_mining	25	male	miner_other	1	0	8	none_gravity	0	0	0	0	2	1.81	3.5	0	0	0	0	0	0	0	1	1	1	0	0	0	0	0	0.56	0.27	1	0
WES-00049	west_africa_alluvial	2,014	rural_mining	16	male	community_resident	0	1	0	none	0	0	0	0	5.1	1.79	1.5	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	2.4	0.19	0	0
WES-00050	west_africa_alluvial	2,020	rural_mining	19	male	miner_other	1	0	10	whole_ore	1	0	0	0	60.4	5.54	13.6	1	1	1	0	0	1	1	1	0	1	0	0	0	0	0	3.74	0.24	1	0
WES-00051	west_africa_alluvial	2,015	urban	38	female	miner_amalgam	1	0	2	concentrate	1	1	0	0	5.4	4.58	11.3	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0.57	1.08	0	0
WES-00052	west_africa_alluvial	2,019	rural_mining	35	male	miner_other	1	0	11	concentrate	1	1	0	0	18.7	3.29	7.8	0	0	0	0	0	0	0	1	0	1	0	0	0	1	1	7.31	0.67	1	1
WES-00053	west_africa_alluvial	2,021	urban	10	male	miner_amalgam	1	1	9	whole_ore	1	0	0	0	7.1	3.41	2.2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1.64	0.07	0	0
WES-00054	west_africa_alluvial	2,019	rural_mining	10	male	miner_amalgam	1	1	12	vat_leaching	0	0	0	0	21.3	1.99	4.8	1	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0.45	0.21	0	0
WES-00055	west_africa_alluvial	2,024	rural_mining	36	female	miner_amalgam	1	0	11	vat_leaching	0	0	0	0	7	2.93	3.1	0	0	0	0	1	0	0	0	0	1	0	0	0	1	1	9.24	0.73	1	0
WES-00056	west_africa_alluvial	2,023	peri_urban	28	male	miner_amalgam	1	0	0	whole_ore	1	1	0	0	26.7	8.81	3.2	1	1	0	0	0	1	0	0	0	1	0	0	0	0	0	1.55	0.44	0	0
WES-00057	west_africa_alluvial	2,016	rural_mining	46	male	community_resident	0	0	0	none	0	0	0	0	2	1.29	6.3	0	0	0	0	1	0	0	0	0	1	0	0	0	0	0	1.29	0.39	1	0
WES-00058	west_africa_alluvial	2,011	rural_mining	40	female	miner_other	1	0	7	whole_ore	1	0	0	0	29.4	2.48	30.5	1	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3.38	0.91	1	0
WES-00059	west_africa_alluvial	2,013	rural_mining	12	male	miner_other	1	1	5	none_gravity	0	0	0	0	3	2.79	2	0	0	0	0	1	0	0	0	0	1	1	0	0	0	0	1.83	3.15	1	0
WES-00060	west_africa_alluvial	2,016	peri_urban	43	female	miner_other	1	0	10	vat_leaching	0	0	0	0	1.7	0.96	1.7	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	3.14	0.55	0	0
WES-00061	west_africa_alluvial	2,021	peri_urban	22	male	miner_other	1	0	9	whole_ore	1	1	0	0	7.6	2.08	9.7	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	9.89	0.56	0	0
WES-00062	west_africa_alluvial	2,012	rural_mining	42	male	miner_amalgam	1	0	9	none_gravity	0	0	0	0	1.1	1.05	1	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	9.98	0.23	1	0
WES-00063	west_africa_alluvial	2,023	urban	50	female	miner_other	1	0	9	whole_ore	1	1	0	0	15.4	5.94	3.1	0	1	1	0	0	0	0	1	1	0	0	0	0	0	0	1.04	0.2	1	0
WES-00064	west_africa_alluvial	2,014	urban	33	male	miner_other	1	0	8	vat_leaching	0	0	0	0	1.6	1.05	4.1	0	0	0	0	1	0	0	0	0	1	0	0	0	0	0	0.91	0.35	1	0
WES-00065	west_africa_alluvial	2,023	peri_urban	23	female	miner_other	1	0	9	none_gravity	0	0	0	0	4.8	4.44	7.5	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2.13	0.29	0	0
WES-00066	west_africa_alluvial	2,016	rural_mining	10	male	miner_amalgam	1	1	10	concentrate	1	0	0	0	1.6	13.7	10	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0.62	0.75	0	0
WES-00067	west_africa_alluvial	2,021	rural_mining	39	male	miner_other	1	0	7	concentrate	1	1	0	0	15.3	3.44	6.9	0	0	1	0	0	0	0	0	0	1	0	0	0	0	1	2.39	0.5	1	0
WES-00068	west_africa_alluvial	2,022	rural_mining	12	female	miner_other	1	1	6	whole_ore	1	1	0	1	3.1	2.2	5.8	0	0	0	0	0	0	1	0	0	0	0	1	0	0	0	1.31	0.18	0	0
WES-00069	west_africa_alluvial	2,018	peri_urban	60	male	miner_amalgam	1	0	2	concentrate	1	1	0	0	7	5.4	14.8	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0.69	1.16	0	0
WES-00070	west_africa_alluvial	2,012	rural_mining	55	male	miner_amalgam	1	0	3	concentrate	1	0	0	0	8.4	1.64	5.9	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1.26	0.64	0	0
WES-00071	west_africa_alluvial	2,015	rural_mining	22	female	miner_amalgam	1	0	5	whole_ore	1	1	0	0	10.6	1.98	5	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	2.12	0.18	0	0
WES-00072	west_africa_alluvial	2,018	peri_urban	35	male	miner_other	1	0	2	concentrate	1	1	0	0	17.2	10.52	15.6	0	1	0	0	0	1	1	0	0	0	0	0	0	1	0	1.78	0.32	0	0
WES-00073	west_africa_alluvial	2,013	peri_urban	37	male	miner_other	1	0	8	whole_ore	1	0	0	0	2.1	1.13	9.4	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0.99	0.86	0	0
WES-00074	west_africa_alluvial	2,017	urban	21	female	community_resident	0	0	0	none	0	0	0	0	3.6	1.03	3.7	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.5	1.01	0	0
WES-00075	west_africa_alluvial	2,023	rural_mining	10	female	gold_shop_worker	1	1	6	whole_ore	1	1	0	0	14.5	2.77	7.2	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	2.41	1	1	0
WES-00076	west_africa_alluvial	2,021	peri_urban	19	male	miner_other	1	0	17	concentrate	1	1	1	0	10.8	1.1	9.4	0	0	0	0	0	0	0	0	0	1	1	1	0	0	0	2.87	0.35	0	0
WES-00077	west_africa_alluvial	2,022	urban	44	female	miner_amalgam	1	0	11	none_gravity	0	0	1	0	3.5	2.92	2.7	0	0	0	0	0	0	0	0	0	1	1	0	0	1	0	0.43	1.23	0	0
WES-00078	west_africa_alluvial	2,018	rural_mining	25	female	miner_other	1	0	11	whole_ore	1	1	0	0	35.4	4.4	4	1	0	1	0	0	0	0	0	0	1	1	0	0	0	1	9.91	0.52	1	0
WES-00079	west_africa_alluvial	2,015	peri_urban	34	female	miner_other	1	0	1	concentrate	1	1	0	0	8.3	2.69	10.7	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	2.38	1.76	0	0
WES-00080	west_africa_alluvial	2,017	rural_mining	25	male	miner_other	1	0	4	whole_ore	1	1	0	0	13.6	6.59	9.2	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	2.45	0.16	0	0
WES-00081	west_africa_alluvial	2,024	rural_mining	18	female	miner_other	1	0	1	none_gravity	0	0	0	0	5.7	2.21	2.9	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2.36	0.34	0	0
WES-00082	west_africa_alluvial	2,024	rural_mining	39	male	miner_other	1	0	11	concentrate	1	1	0	0	16.8	17.21	5.1	0	1	0	0	0	0	0	0	0	1	0	1	0	0	0	2.09	0.8	0	0
WES-00083	west_africa_alluvial	2,024	peri_urban	24	female	child_worker	0	0	0	none	0	0	0	0	9.6	2.06	3.6	0	0	0	0	0	0	0	1	0	1	1	1	0	0	0	0.41	0.52	1	0
WES-00084	west_africa_alluvial	2,016	rural_mining	10	male	miner_amalgam	1	1	9	whole_ore	1	0	0	0	6.9	2.9	10.6	0	0	0	0	0	0	0	0	0	1	0	1	0	0	1	1.13	0.93	0	0
WES-00085	west_africa_alluvial	2,022	peri_urban	48	female	miner_amalgam	1	0	9	concentrate	1	1	0	0	8.2	4.7	8.5	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	4.7	0.54	0	0
WES-00086	west_africa_alluvial	2,024	peri_urban	35	female	miner_amalgam	1	0	9	whole_ore	1	0	0	0	84.3	5.93	5.2	1	1	1	0	0	1	0	1	0	1	0	0	0	0	0	1.05	0.86	1	0
WES-00087	west_africa_alluvial	2,012	rural_mining	47	male	child_worker	0	0	0	none	0	0	0	0	7.3	7.35	1.3	0	1	0	0	0	0	0	0	0	1	1	0	0	0	0	0.73	0.75	0	0
WES-00088	west_africa_alluvial	2,010	peri_urban	57	female	miner_amalgam	1	0	2	concentrate	1	0	0	0	15.4	7.48	4.6	0	1	0	0	0	0	0	0	0	1	1	0	0	0	0	3.24	1.19	0	0
WES-00089	west_africa_alluvial	2,018	urban	37	male	miner_other	1	0	11	none_gravity	0	0	0	0	2.5	2.27	4	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	3.18	2.87	0	0
WES-00090	west_africa_alluvial	2,020	rural_mining	19	male	community_resident	0	0	0	none	0	0	0	0	2	1.07	2.9	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.74	0.3	0	0
WES-00091	west_africa_alluvial	2,021	rural_mining	31	female	child_worker	0	0	0	none	0	0	0	0	3.3	2.52	0.9	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0.56	0.43	0	0
WES-00092	west_africa_alluvial	2,016	rural_mining	39	female	miner_other	1	0	5	whole_ore	1	1	0	0	0.9	1.84	24.8	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0.56	0.71	0	0
WES-00093	west_africa_alluvial	2,011	peri_urban	26	female	miner_amalgam	1	0	20	vat_leaching	0	0	0	1	3.4	1.32	1	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	2.97	0.67	0	0
WES-00094	west_africa_alluvial	2,014	rural_mining	58	male	miner_other	1	0	14	whole_ore	1	1	0	0	31.9	5.07	14.6	1	1	0	0	1	1	1	0	0	0	0	1	0	0	1	6.53	0.43	1	0
WES-00095	west_africa_alluvial	2,010	peri_urban	20	male	miner_amalgam	1	0	15	concentrate	1	1	0	0	3.9	0.97	8.8	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0.99	0.94	0	0
WES-00096	west_africa_alluvial	2,012	rural_mining	30	male	child_worker	0	0	0	none	0	0	0	0	0.8	2.32	2.1	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0.14	0.85	0	0
WES-00097	west_africa_alluvial	2,017	peri_urban	10	male	miner_amalgam	1	1	9	concentrate	1	1	1	0	15.9	3.29	14.4	0	0	0	0	0	0	0	1	1	1	0	0	1	0	0	0.63	1.22	1	0
WES-00098	west_africa_alluvial	2,019	rural_mining	39	female	community_resident	0	0	0	none	0	0	0	0	3	3.91	2.4	0	0	0	0	0	0	0	0	0	1	1	1	0	0	0	0.22	0.54	0	0
WES-00099	west_africa_alluvial	2,022	peri_urban	20	male	miner_amalgam	1	0	7	vat_leaching	0	0	0	0	9	3.68	14.7	0	0	1	0	0	0	0	1	0	0	0	0	0	0	0	1.23	0.11	1	0

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

Mercury Exposure & Artisanal Gold Mining in Sub-Saharan Africa

Abstract

Synthetic dataset modelling mercury (Hg) exposure from artisanal and small-scale gold mining (ASGM), biomarker levels, neurological and renal health outcomes across three regional scenarios in SSA. ASGM is the largest anthropogenic source of mercury globally, accounting for 37% of 2,200 tonnes/year (UNEP 2018). Approximately 9 million ASGM workers in Africa are exposed, with extremely low PPE and retort use rates.

Scenarios

West Africa Alluvial: Ghana/Mali/Burkina Faso-type alluvial mining with moderate mercury use and high fish consumption pathways.
East Africa Hard-Rock: Tanzania/Kenya/Uganda-type hard-rock mining with higher exposure levels and gold shop processing.
Southern Africa High-Use: Zimbabwe/Mozambique-type operations with the highest mercury consumption per capita and poorest safety practices.

Parameterization Evidence

Parameter	Value	Source	Year
ASGM = 37% of global Hg emissions (838 tonnes/yr to air)	Emissions	UNEP Global Mercury Assessment	2018
~9 million ASGM workers in Africa	Population	Springer review (Africa ASGM)	2023
~15M globally, 3M women/children	Population	Gibb & O'Leary, EHP	2014
Urine Hg GM 12 µg/g-creat (kidney dysfunction) vs 5.1 (no dysfunction)	Biomarker	PMC4080518	2014
Blood Hg correlated with proteinuria r=0.73	Dose-response	PMC5488392 (Bibiani, Ghana)	2017
Poor PPE compliance (<10%) among miners	Safety gap	PMC5488392	2017
Tremor 25-35%, ataxia 12-18% in miners	Neurological	PMC4080518; PMC8871667	2014/2022
Zimbabwe top 10 Hg-using countries	Regional	Bose-O'Reilly et al.	2010
Minamata Convention ratified, enforcement weak	Regulation	UNEP	2017

Validation

The 8-panel validation report shows: urine Hg distributions, neurological outcomes, biomarker elevation rates, urine Hg vs proteinuria dose-response, worker role distributions, safety practice adoption, kidney effects, and fish consumption/contamination patterns.

Usage

from datasets import load_dataset
ds = load_dataset("electricsheepafrica/mercury-asgm-exposure", "west_africa_alluvial")

Limitations

Synthetic data; not for clinical decision-making.
Biomarker levels modelled as log-normal; real distributions vary by site.
Does not capture chronic cumulative exposure or seasonal variation.
PPE/retort adoption rates are conservative estimates.

References

UNEP. Global Mercury Assessment 2018.
Gibb H, O'Leary KG. Mercury exposure and health impacts among individuals in the ASGM community. EHP, 2014; 122(7):667-72.
Bose-O'Reilly S, et al. Mercury exposure and children's health. Curr Probl Pediatr Adolesc Health Care, 2010.
PMC5488392. Reduced eGFR, elevated urine protein in small-scale miners, Bibiani Ghana. 2017.
PMC8871667. Mercury exposure and health effects in ASGM workers review. IJERPH, 2022.
Springer review. Artisanal gold mining in Africa – environmental pollution and health effects. 2023.

Citation

@dataset{electricsheepafrica_mercury_asgm_exposure_2025,
  title={Mercury Exposure and Artisanal Gold Mining in Sub-Saharan Africa},
  author={Electric Sheep Africa},
  year={2025},
  publisher={HuggingFace},
  url={https://huggingface.co/datasets/electricsheepafrica/mercury-asgm-exposure}
}

License

CC-BY-4.0

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