Short-Term Infectious Diarrhea Prediction Using Weather and Search Data in Xiamen, China
Joint Authors
He, Bingyan
Wang, Yongming
Wang, Zhijin
Huang, Yaohui
Fu, Yonggang
Luo, Ting
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-30
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Infectious diarrhea has high morbidity and mortality around the world.
For this reason, diarrhea prediction has emerged as an important problem to prevent and control outbreaks.
Numerous studies have built disease prediction models using large-scale data.
However, these methods perform poorly on diarrhea data.
To address this issue, this paper proposes a parsimonious model (PM), which takes historical outpatient visit counts, meteorological factors (MFs) and Baidu search indices (BSIs) as inputs to perform prediction.
An experimental evaluation was done to compare the short-term prediction performance of ten algorithms for four groups of inputs, using data collected in Xiamen, China.
Results show that the proposed method is effective in improving the prediction accuracy.
American Psychological Association (APA)
Wang, Zhijin& Huang, Yaohui& He, Bingyan& Luo, Ting& Wang, Yongming& Fu, Yonggang. 2020. Short-Term Infectious Diarrhea Prediction Using Weather and Search Data in Xiamen, China. Scientific Programming،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1209150
Modern Language Association (MLA)
Wang, Zhijin…[et al.]. Short-Term Infectious Diarrhea Prediction Using Weather and Search Data in Xiamen, China. Scientific Programming No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1209150
American Medical Association (AMA)
Wang, Zhijin& Huang, Yaohui& He, Bingyan& Luo, Ting& Wang, Yongming& Fu, Yonggang. Short-Term Infectious Diarrhea Prediction Using Weather and Search Data in Xiamen, China. Scientific Programming. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1209150
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209150