Open Source Dataset: Community-Led Diagnosis of Urogenital Schistosomiasis Using a Low-Cost, Point-of-Care Microscopy Toolkit in Rural Nigeria: A mixed-methods study
Domaine:
healthcareType de record:
dataset
Créateur:
Hea
Éditeur:
Hôte:
| Community-Led Diagnosis of Urogenital Schistosomiasis Using a Low-Cost, Point-of-Care Microscopy Toolkit in Rural Nigeria: A Mixed-Methods Study |
| Dataset contents |
| Participant_Survey_Diagnostic: participant-level demographic, KAP survey, and diagnostic data |
| - CHEW_Diagnostic_Accuracy: village-level diagnostic accuracy of Foldscope-SchistoFilter readings by trained Community Health Extension Workers (CHEWs), sequential deployment across five communities. |
| - LabScientist_Dx_Accuracy: village-level diagnostic accuracy of Foldscope-SchistoFilter readings by a trained laboratory scientist. |
| - Village_Diagnostic_Summary: village-level confusion-matrix (TP/FP/TN/FN) counts for both reader groups. |
| - Key: data dictionary decoding all field names and response codes used in Participant_Survey_Diagnostic. |
| License and reuse |
| This dataset is made freely available for reuse by any party. There are no restrictions on use, adaptation, or redistribution. |
| Citation requirement |
| Anyone using this dataset is asked to cite the associated publication, in keeping with PLOS Neglected Tropical Diseases' data citation policy and standard scientific practice, so that results are properly attributed and interpreted in their original context: |
| McCarthy WC, et al. Community-Led Diagnosis of Urogenital Schistosomiasis Using a Low-Cost, Point-of-Care Microscopy Toolkit in Rural Nigeria: A Mixed-Methods Study. PLOS Neglected Tropical Diseases. [In press — update with full citation and DOI upon publication]. |
| Please also cite this Zenodo dataset directly using the DOI assigned upon deposit. |
| Contact |
| For questions about the dataset, contact the corresponding authors listed in the associated publication. |
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