# An integrated recurrent neural network and regression model with spatial and climatic couplings for vector-borne disease dynamics

@inproceedings{Li2022AnIR,
title={An integrated recurrent neural network and regression model with spatial and climatic couplings for vector-borne disease dynamics},
author={Zhijian Li and Jack Xin and Guofa Zhou},
booktitle={ICPRAM},
year={2022}
}
• Published in ICPRAM 23 January 2022
• Computer Science
: We developed an integrated recurrent neural network and nonlinear regression spatio-temporal model for vector-borne disease evolution. We take into account climate data and seasonality as external factors that correlate with disease transmitting insects (e.g. ﬂies), also spill-over infections from neighboring regions sur-rounding a region of interest. The climate data is encoded to the model through a quadratic embedding scheme motivated by recommendation systems. The neighboring regions’ in…

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