Prediction of Malaria incidence in mainland China

Daren Zhao

doi:10.1117/12.2640887

2 December 2022 Prediction of Malaria incidence in mainland China

Daren Zhao

Proceedings Volume 12288, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2022); 122880J (2022) https://doi.org/10.1117/12.2640887
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2022), 2022, Zhuhai, China

Abstract

Globally, the malaria epidemic remains serious, which poses an enormous threat to human health. Although China has made remarkable progress in the prevention and control of malaria, it still faces the potential for imported risks of this infectious disease. In this study, the SVR, GM(1,1), LR, and Exponential Smoothing models were applied respectively to predict the incidence of Malaria in mainland China. The results showed that the SVR model was the optimum model, and its prediction performance has higher than that of GM(1,1), LR, and Exponential Smoothing models.

Citation Download Citation

Daren Zhao "Prediction of Malaria incidence in mainland China", Proc. SPIE 12288, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2022), 122880J (2 December 2022); https://doi.org/10.1117/12.2640887

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