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

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

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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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Bibliographic Details
Main Authors: Rachel Hall-Clifford, Alejandro Arzu, Saul Contreras, Maria Gabriela Croissert Muguercia, Diana Ximena de Leon Figueroa, Maria Valeria Ochoa Elias, Anna Yunuen Soto Fernández, Amara Tariq, Imon Banerjee, Pamela Pennington
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLOS Global Public Health
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021207/?tool=EBI

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021207/?tool=EBI

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