Abstract
Artificial intelligence (AI) techniques have been widely applied to infectious disease outbreak detection and early warning, trend prediction, and public health response and assessment. Such public health surveillance and response tasks of significant importance pose unique technical challenges such as data sparsity; Traditional public health information relies heavily on epidemiological data. Recent years have seen incredible growth of AI-enabled methods, especially in developed countries, complementing statistical approaches. This chapter aims to provide a systematic review of these recent advances applying AI techniques to address the Cholera Epidemic and surveillance and response challenges.
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