Medicine
5 years ago

New model predicts haemorrhagic fever outbreaks in China with accuracy.

BMJ Open
Comparison of autoregressive integrated moving average model and generalised regression neural network model for prediction of haemorrhagic fever with renal syndrome in China: a time-series study
Yawen Wang, Zhongzhou Shen, Jiang Yu

Paper Summary

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The article compares different models to predict cases of a serious disease called haemorrhagic fever with renal syndrome in China. The goal was to see which model could best forecast how many people would get sick each month. The researchers looked at a hybrid model and two other models to see which one was most accurate. They found that the hybrid model was better at predicting the number of cases of the disease.