Toward co-design of an AI solution for detection of diarrheal pathogens in drinking water within resource-constrained contexts

Despite successes on the Sustainable Development Goals for access to improved water sources and sanitation, many low and middle-income countries (LMICs) continue to struggle with high rates of diarrheal disease. In Guatemala, 98% of water sources are estimated to have E. coli contamination. This pro...

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Detalles Bibliográficos
Autores principales: Hall-Clifford, Rachel, Arzu, Alejandro, Contreras, Saul, Croissert Muguercia, Maria Gabriela, de Leon Figueroa, Diana Ximena, Ochoa Elias, Maria Valeria, Soto Fernández, Anna Yunuen, Tariq, Amara, Banerjee, Imon, Pennington, Pamela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021207/
https://www.ncbi.nlm.nih.gov/pubmed/36962801
http://dx.doi.org/10.1371/journal.pgph.0000918

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021207/
https://www.ncbi.nlm.nih.gov/pubmed/36962801
http://dx.doi.org/10.1371/journal.pgph.0000918

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