A method for hand-foot-mouth disease prediction using GeoDetector and LSTM model in Guangxi, China

被引：52

作者：

Gu, Jiangyan ^{[1
,2
]}

Liang, Lizhong ^{[3
]}

Song, Hongquan ^{[1
,2
,4
]}

Kong, Yunfeng ^{[1
,2
]}

Ma, Rui ^{[1
]}

Hou, Yane ^{[1
]}

Zhao, Jinyu ^{[1
]}

Liu, Junjie ^{[1
]}

He, Nan ^{[1
]}

Zhang, Yang ^{[5
]}

机构：

[1] Henan Univ, Lab Geospatial Technol Middle & Lower Yellow Rive, Minist Educ, Kaifeng 475004, Henan, Peoples R China

[2] Henan Univ, Inst Urban Big Data, Coll Environm & Planning, Kaifeng 475004, Henan, Peoples R China

[3] Guangdong Med Univ, Affiliated Hosp, Zhanjiang 524001, Peoples R China

[4] Henan Univ, Henan Key Lab Integrated Air Pollut Control & Eco, Kaifeng 475004, Henan, Peoples R China

[5] East China Normal Univ, Inst Global Innovat & Dev, Shanghai 200062, Peoples R China

来源：

SCIENTIFIC REPORTS | 2019年 / 9卷 / 1期

关键词：

NEURAL-NETWORKS; CHILDHOOD HAND; URBAN; RECOGNITION; TEMPERATURE; VARIABLES; HEFEI;

D O I：

10.1038/s41598-019-54495-2

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Hand-foot-mouth disease (HFMD) is a common infectious disease in children and is particularly severe in Guangxi, China. Meteorological conditions are known to play a pivotal role in the HFMD. Previous studies have reported numerous models to predict the incidence of HFMD. In this study, we proposed a new method for the HFMD prediction using GeoDetector and a Long Short-Term Memory neural network (LSTM). The daily meteorological factors and HFMD records in Guangxi during 2014-2015 were adopted. First, potential risk factors for the occurrence of HFMD were identified based on the GeoDetector. Then, region-specific prediction models were developed in 14 administrative regions of Guangxi, China using an optimized three-layer LSTM model. Prediction results (the R-square ranges from 0.39 to 0.71) showed that the model proposed in this study had a good performance in HFMD predictions. This model could provide support for the prevention and control of HFMD. Moreover, this model could also be extended to the time series prediction of other infectious diseases.

引用

页数：10

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