Geospatial variation and machine learning approaches to predict open defecation practice in Zambia.
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| Title: | Geospatial variation and machine learning approaches to predict open defecation practice in Zambia. |
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| Authors: | Birlie AA; Department of Health Informatics, College of Medicine and Health Science, Samara University, Samara, Ethiopia., Meshesha NA; Department of Public Health, Institute of Health, Dambi Dollo University, Dambi Dollo, Ethiopia., Tizie SB; Department of Health Informatics, College of Medicine and Health Science, Debre Markos University, Debre Markos, Ethiopia., Wondie SG; Department of Public Health, College of Medicine and Health Science, Mizan Tepi University, Mizan Aman, Ethiopia., Teshome SG; School of Public Health, Health Science Campus, Debre Berhan University, Debre Berhan, Ethiopia., Bedada TD; Department of Health Informatics, School of Public Health, Institute of Health, Bule Hora University, Bule Hora, Ethiopia., Muluneh AA; Department of Health Informatics, College of Medicine and Health Science, Wollo University, Dessie, Ethiopia., Eticha BL; Department of Health Informatics, School of Public Health, College of Medicine and Health Science, Wachemo University, Hossana, Ethiopia., Dube GN; School of Public Health, Institute of Health, Bule Hora University, Bule Hora, Ethiopia., Wodessa G; School of Public Health, Institute of Health, Bule Hora University, Bule Hora, Ethiopia., Mengistie MB; Department of Health Informatics, College of Medicine and Health Science, Debre Markos University, Debre Markos, Ethiopia. |
| Source: | PloS one [PLoS One] 2026 Jun 10; Vol. 21 (6), pp. e0350923. Date of Electronic Publication: 2026 Jun 10 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0350923 |
