Geospatial variation and machine learning approaches to predict open defecation practice in Zambia.
- DOI
- 10.1371/journal.pone.0350923
- Published
- 2026
- Container
- PloS one
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0350923,
title = {Geospatial variation and machine learning approaches to predict open defecation practice in Zambia.},
author = {Birlie AA and Meshesha NA and Tizie SB and Wondie SG and Teshome SG and Bedada TD and Muluneh AA and Eticha BL and Dube GN and Wodessa G and Mengistie MB},
year = {2026},
journal = {PloS one},
doi = {10.1371/journal.pone.0350923},
url = {https://doi.org/10.1371/journal.pone.0350923}
}RIS
TY - JOUR TI - Geospatial variation and machine learning approaches to predict open defecation practice in Zambia. AU - Birlie AA AU - Meshesha NA AU - Tizie SB AU - Wondie SG AU - Teshome SG AU - Bedada TD AU - Muluneh AA AU - Eticha BL AU - Dube GN AU - Wodessa G AU - Mengistie MB PY - 2026 JO - PloS one DO - 10.1371/journal.pone.0350923 UR - https://doi.org/10.1371/journal.pone.0350923 ER -
APA
AA, B., NA, M., SB, T., SG, W., SG, T., TD, B., AA, M., BL, E., GN, D., G, W., & MB, M. (2026). Geospatial variation and machine learning approaches to predict open defecation practice in Zambia.. PloS one. https://doi.org/10.1371/journal.pone.0350923
Source records
- pubmed · retrieved 2026-09-26T14:28:09.515Z