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Using a Hybrid Model to Forecast the Prevalence of Schistosomiasis in Humans.
Zhou, Lingling; Xia, Jing; Yu, Lijing; Wang, Ying; Shi, Yun; Cai, Shunxiang; Nie, Shaofa.
Afiliação
  • Zhou L; Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430001, China. zllgwy@126.com.
  • Xia J; Department of Information, Research Institute of Field Surgery, Daping Hospital of Third Military Medical University, Chongqing 400042, China. zllgwy@126.com.
  • Yu L; Institute of Parasitic Disease Control, Hubei Provincial Center for Disease Control and Prevention, Wuhan 430079, China. xiaj0608@163.com.
  • Wang Y; Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430001, China. yulijing321@outlook.com.
  • Shi Y; Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430001, China. wangying@whu.edu.cn.
  • Cai S; Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430001, China. shiyuntj@hust.edu.cn.
  • Nie S; Institute of Parasitic Disease Control, Hubei Provincial Center for Disease Control and Prevention, Wuhan 430079, China. shunxiangcai@163.com.
Int J Environ Res Public Health ; 13(4): 355, 2016 Mar 23.
Article em En | MEDLINE | ID: mdl-27023573
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Esquistossomose / Redes Neurais de Computação / Modelos Teóricos Tipo de estudo: Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Esquistossomose / Redes Neurais de Computação / Modelos Teóricos Tipo de estudo: Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article