Your browser doesn't support javascript.
loading
Predicting nosocomial lower respiratory tract infections by a risk index based system.
Chen, Yong; Shan, Xue; Zhao, Jingya; Han, Xuelin; Tian, Shuguang; Chen, Fangyan; Su, Xueting; Sun, Yansong; Huang, Liuyu; Grundmann, Hajo; Wang, Hongyuan; Han, Li.
Afiliação
  • Chen Y; Chinese PLA Institute for Disease Control and Prevention, Beijing, China.
  • Shan X; School of Public Health, Peking University, Beijing, China.
  • Zhao J; Chinese PLA Institute for Disease Control and Prevention, Beijing, China.
  • Han X; Chinese PLA Institute for Disease Control and Prevention, Beijing, China.
  • Tian S; Chinese PLA Institute for Disease Control and Prevention, Beijing, China.
  • Chen F; Chinese PLA Institute for Disease Control and Prevention, Beijing, China.
  • Su X; Chinese PLA Institute for Disease Control and Prevention, Beijing, China.
  • Sun Y; Chinese PLA Institute for Disease Control and Prevention, Beijing, China.
  • Huang L; Chinese PLA Institute for Disease Control and Prevention, Beijing, China.
  • Grundmann H; Department of Infection Prevention and Hospital Hygiene, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
  • Wang H; Department of Medical Microbiology, University Medical Center Groningen, Rijksuniversteit Groningen, Groningen, The Netherlands.
  • Han L; School of Public Health, Peking University, Beijing, China. why_w2003@163.com.
Sci Rep ; 7(1): 15933, 2017 Nov 21.
Article em En | MEDLINE | ID: mdl-29162852
Assuntos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Infecções Respiratórias / Infecção Hospitalar Tipo de estudo: Etiology_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2017 Tipo de documento: Article País de afiliação: China País de publicação: Reino Unido
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Infecções Respiratórias / Infecção Hospitalar Tipo de estudo: Etiology_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2017 Tipo de documento: Article País de afiliação: China País de publicação: Reino Unido