AIMC Topic: Waterborne Diseases
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Machine learning and spatio-temporal analysis of meteorological factors on waterborne diseases in Bangladesh.
PLoS neglected tropical diseases
Jan 16, 2025
BACKGROUND: Bangladesh is facing a formidable challenge in mitigating waterborne diseases risk exacerbated by climate change. However, a comprehensive understanding of the spatio-temporal dynamics of these diseases at the district level remains elusi...
Machine learning and explainable artificial intelligence for the prevention of waterborne cryptosporidiosis and giardiosis.
Water research
Jul 22, 2024
Cryptosporidium and Giardia are important parasitic protozoa due to their zoonotic potential and impact on human health, and have often caused waterborne outbreaks of disease. Detection of (oo)cysts in water matrices is challenging and extremely cost...
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