Literature DB >> 30380469

The application of meteorological data and search index data in improving the prediction of HFMD: A study of two cities in Guangdong Province, China.

Shaoxing Chen1, Xiaojian Liu2, Yongsheng Wu3, Guangxing Xu4, Xubin Zhang4, Shujiang Mei5, Zhen Zhang6, Michael O'Meara7, Mary Clare O'Gara8, Xuerui Tan9, Liping Li10.   

Abstract

Hand, foot and mouth disease (HFMD) is a public health issue in China, and its incidence in Guangdong Province is higher than the national average. Previous studies have found climatic factors have an influential role in the transmission of HFMD. Internet search technology has been shown to predict some infectious disease epidemics and is a potential resource in tracking epidemics in countries where the use of Internet search index data is prevalent. This study aims to improve the prediction of HFMD in two Chinese cities, Shantou and Shenzhen in Guangdong Province, applying both meteorological data and Baidu search indices to create a HFMD forecasting model. To this end, the relationship between meteorological factors and HFMD was found to be linear in both cities, while the relationship between search engine data and HFMD was not consistent. The results of our study suggest that using both Internet search and meteorological data can improve the prediction of HFMD incidence. Using comparative analysis of both cities, we posit that improved quality search indices enhance prediction of HFMD.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  GAM; HFMD; Meteorological data; Prediction; Search index data

Mesh:

Year:  2018        PMID: 30380469     DOI: 10.1016/j.scitotenv.2018.10.304

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  6 in total

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Journal:  Environ Sci Pollut Res Int       Date:  2022-10-18       Impact factor: 5.190

2.  Predicting incidence of hepatitis E for thirteen cities in Jiangsu Province, China.

Authors:  Tianxing Wu; Minghao Wang; Xiaoqing Cheng; Wendong Liu; Shutong Zhu; Xuefeng Zhang
Journal:  Front Public Health       Date:  2022-10-03

3.  Online public attention toward allergic rhinitis in Wuhan, China: Infodemiology study using Baidu index and meteorological data.

Authors:  Yunfei Wang; Ziang Gao; Hao Lv; Yu Xu
Journal:  Front Public Health       Date:  2022-10-03

4.  Spatiotemporal Distribution and Influencing Factors of Ecosystem Vulnerability on Qinghai-Tibet Plateau.

Authors:  Han Li; Wei Song
Journal:  Int J Environ Res Public Health       Date:  2021-06-16       Impact factor: 3.390

5.  Using deep learning to predict the hand-foot-and-mouth disease of enterovirus A71 subtype in Beijing from 2011 to 2018.

Authors:  Yuejiao Wang; Zhidong Cao; Daniel Zeng; Xiaoli Wang; Quanyi Wang
Journal:  Sci Rep       Date:  2020-07-22       Impact factor: 4.379

6.  The impact of anti-COVID-19 nonpharmaceutical interventions on hand, foot, and mouth disease-A spatiotemporal perspective in Xi'an, northwestern China.

Authors:  Li Shen; Minghao Sun; Shuxuan Song; Qingwu Hu; Nuoya Wang; Guangyu Ou; Zhaohui Guo; Jing Du; Zhongjun Shao; Yao Bai; Kun Liu
Journal:  J Med Virol       Date:  2022-03-22       Impact factor: 20.693

  6 in total

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