☆ 4.7 Review

Big Geospatial Data and Data-Driven Methods for Urban Dengue Risk Forecasting: A Review

REMOTE SENSING (2022)

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Summary: This study developed a deep learning model for weather-based prediction of dengue fever in Vietnam. The LSTM-ATT model demonstrated the highest performance and accurately predicted dengue fever incidence and outbreak months. This study highlights the importance of using deep learning models for disease forecasting in the context of climate change.

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