Datasets:

epidata-research
/

outbreak-containment-data

immune_diversity float64 0.02 0.99	transmission_coherence float64 0.01 0.97	healthcare_capacity float64 0.05 1	containment_index float64 0 0.58	pathogen_type stringclasses 4 values	region_density stringclasses 4 values
0.518389	0.76057	0.319474	0.109729	fungal	suburban
0.295115	0.133004	0.507243	0.050461	bacterial	urban
0.802622	0.106631	0.62599	0.018123	fungal	rural
0.847772	0.550186	0.922643	0.410036	bacterial	rural
0.698657	0.237748	0.597477	0.094251	parasitic	megacity
0.623014	0.536594	0.742286	0.24373	bacterial	suburban
0.660604	0.546078	0.338381	0.097215	bacterial	urban
0.686391	0.621753	0.605993	0.258448	viral	rural
0.868834	0.146175	0.842618	0.121492	parasitic	urban
0.618147	0.5642	0.755479	0.283349	bacterial	urban
0.559457	0.45384	0.433297	0.152869	bacterial	suburban
0.553008	0.311384	0.687738	0.164846	bacterial	urban
0.342589	0.658076	0.411391	0.075186	parasitic	suburban
0.136878	0.748341	0.801341	0.054621	bacterial	megacity
0.466251	0.148123	0.567601	0.022104	viral	megacity
0.178534	0.547687	0.462994	0.015714	viral	rural
0.501613	0.581577	0.389391	0.073758	parasitic	megacity
0.584691	0.353511	0.90132	0.216717	viral	urban
0.502305	0.218339	0.828589	0.103298	bacterial	urban
0.387321	0.067948	0.38362	0	parasitic	megacity
0.749482	0.329196	0.494137	0.128259	bacterial	suburban
0.274081	0.729897	0.304426	0.054867	bacterial	rural
0.664261	0.182124	0.458591	0.037918	viral	megacity
0.492435	0.523294	0.506421	0.063654	fungal	rural
0.520702	0.584877	0.957448	0.275895	fungal	urban
0.427685	0.129091	0.33951	0.038067	fungal	megacity
0.346751	0.732127	0.068867	0.029225	viral	megacity
0.229706	0.263013	0.393686	0.013655	bacterial	rural
0.591846	0.521049	0.814307	0.212864	fungal	rural
0.580884	0.495138	0.37993	0.105508	fungal	urban
0.546953	0.285714	0.80765	0.063689	viral	urban
0.864544	0.505421	0.355357	0.152342	fungal	urban
0.590613	0.466567	0.743716	0.22189	bacterial	megacity
0.655332	0.338914	0.355268	0.065312	fungal	suburban
0.411513	0.344484	0.513903	0.051954	parasitic	urban
0.246511	0.620143	0.878603	0.146183	bacterial	suburban
0.288762	0.471344	0.699845	0.111195	bacterial	suburban
0.854334	0.276038	0.594673	0.127137	parasitic	suburban
0.152082	0.338831	0.84451	0.032329	fungal	megacity
0.458463	0.453632	0.474976	0.119508	viral	urban
0.286553	0.364693	0.674558	0.071316	fungal	rural
0.603005	0.388738	0.580286	0.158724	viral	rural
0.178917	0.344898	0.460758	0.062742	fungal	urban
0.133506	0.291447	0.68178	0.093021	fungal	megacity
0.183582	0.321441	0.695616	0.05706	parasitic	rural
0.367805	0.358086	0.264108	0.056641	viral	suburban
0.317983	0.380217	0.774452	0.067695	viral	urban
0.419238	0.725818	0.499478	0.150324	bacterial	urban
0.265758	0.292858	0.602634	0.039944	bacterial	suburban
0.139953	0.278953	0.935296	0.048327	fungal	rural
0.96309	0.230977	0.523582	0.151601	parasitic	suburban
0.213119	0.850068	0.567402	0.115285	fungal	suburban
0.374115	0.792493	0.410229	0.196637	parasitic	urban
0.793281	0.334289	0.349883	0.102625	viral	suburban
0.874412	0.084488	0.442238	0.006383	viral	rural
0.362197	0.194378	0.899948	0.02234	fungal	rural
0.392273	0.328487	0.858117	0.127082	parasitic	urban
0.942745	0.107145	0.955909	0.087597	parasitic	urban
0.684488	0.046689	0.625293	0.054827	fungal	rural
0.536717	0.254832	0.448284	0.049771	viral	urban
0.799085	0.521298	0.746473	0.335957	parasitic	megacity
0.246181	0.79741	0.419986	0.092253	parasitic	suburban
0.60953	0.108917	0.354413	0.054505	parasitic	megacity
0.409155	0.116623	0.428122	0.064699	fungal	megacity
0.334543	0.029878	0.45553	0.027409	bacterial	suburban
0.69252	0.388393	0.555002	0.135202	fungal	suburban
0.044011	0.379987	0.5383	0.007252	bacterial	urban
0.109996	0.382702	0.816896	0.022392	parasitic	rural
0.416429	0.536888	0.170505	0.018417	bacterial	suburban
0.328391	0.281687	0.445571	0.042074	bacterial	megacity
0.277496	0.369447	0.468013	0.089157	bacterial	megacity
0.544029	0.412146	0.238048	0.077286	bacterial	rural
0.388916	0.346263	0.868155	0.087748	bacterial	megacity
0.633019	0.500683	0.578398	0.18701	fungal	rural
0.217597	0.460604	0.704828	0.072953	parasitic	megacity
0.468277	0.389115	0.454362	0.081112	parasitic	suburban
0.508859	0.606503	0.74031	0.213987	parasitic	megacity
0.231673	0.243159	0.504921	0.020119	viral	urban
0.58191	0.400474	0.680006	0.149439	parasitic	urban
0.509501	0.172867	0.492085	0	fungal	rural
0.742016	0.063075	0.493324	0.054122	viral	suburban
0.376291	0.420843	0.860123	0.169746	viral	urban
0.202986	0.381683	0.502029	0.092071	viral	urban
0.440683	0.66791	0.574463	0.206738	viral	megacity
0.698704	0.348974	0.855398	0.234419	viral	urban
0.459023	0.763993	0.402815	0.141225	fungal	rural
0.796574	0.366579	0.292653	0.056307	fungal	megacity
0.585344	0.26405	0.592313	0.124763	viral	urban
0.54544	0.307163	0.894673	0.176673	parasitic	megacity
0.636907	0.522146	0.774089	0.265548	parasitic	urban
0.586117	0.671391	0.54267	0.195775	viral	megacity
0.703684	0.876448	0.41517	0.283939	parasitic	rural
0.082851	0.618231	0.716674	0.009486	viral	rural
0.775627	0.510094	0.819755	0.303039	parasitic	megacity
0.276138	0.259634	0.802063	0.081408	bacterial	megacity
0.497826	0.109412	0.688897	0.024814	bacterial	rural
0.064824	0.323303	0.387809	0	viral	megacity
0.558922	0.681889	0.988214	0.390429	bacterial	suburban
0.182194	0.495255	0.563009	0.067622	bacterial	rural
0.430588	0.552618	0.593048	0.168652	fungal	megacity

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Outbreak Containment Data

Simulated outbreak data for epidemiological modeling.

Usage

from datasets import load_dataset

dataset = load_dataset("epidata-research/outbreak-containment-data")
df = dataset["train"].to_pandas()

Or use the provided loader:

from loader import load_data

df = load_data()

Schema

Metrics

Column	Type	Description
immune_diversity	float	Normalized metric
transmission_coherence	float	Normalized metric
healthcare_capacity	float	Normalized metric
containment_index	float	Normalized metric

Categorical Variables

Column	Type	Description
pathogen_type	string	Categorical variable
region_density	string	Categorical variable

Statistics

Rows: 1000
Columns: 6

License

CC0 1.0 Universal (Public Domain)

Note: Homogeneity is the breeding ground of plague.

Downloads last month: 22

Size of downloaded dataset files:

41.7 kB

Size of the auto-converted Parquet files:

41.7 kB

Number of rows:

1,000