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Author 1
Istiaq Ahmed
School of Business, Southern New Hampshire University, Manchester, NH 03106, USA
Summary
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ICCK Contributions

Open Access | Research Article | 27 June 2025
Advanced Neural AI Models for Early Outbreak Prediction and Surveillance of Infectious Diseases Using Large-Scale Epidemiological Data
ICCK Transactions on Neural Computing | Volume 1, Issue 2: 87-97, 2025 | DOI: 10.62762/TNC.2025.284791
Abstract
Infectious disease outbreaks pose significant challenges to public health infectious disease outbreaks create for the local population, the economy, and the world order. To be successful in early intervention and resource allocation, the prediction of such outbreaks should be as accurate as possible. This study describes the most successful approaches for epidemic prediction through the application of Artificial Intelligence (AI), which utilizes machine-learning and deep-learning models to assess various epidemiological, environmental, and socio-economic factors. Identification of urban patterns, prediction of the spread of diseases, and generation of actionable hypotheses might be performed... More >

Graphical Abstract
Advanced Neural AI Models for Early Outbreak Prediction and Surveillance of Infectious Diseases Using Large-Scale Epidemiological Data