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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Egile Nagusiak: Rachel Hall-Clifford (Egilea), Alejandro Arzu (Egilea), Saul Contreras (Egilea), Maria Gabriela Croissert Muguercia (Egilea), Diana Ximena de Leon Figueroa (Egilea), Maria Valeria Ochoa Elias (Egilea), Anna Yunuen Soto Fernández (Egilea), Amara Tariq (Egilea), Imon Banerjee (Egilea), Pamela Pennington (Egilea)
Formatua: Liburua
Argitaratua: Public Library of Science (PLoS), 2022-01-01T00:00:00Z.
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