Selected article for: "acute infection and logistic regression"

Author: Wang, Ming; Xu, Hui-Fang; Zhang, Zhou-Bin; Zou, Xiao-Zhong; Gao, Yang; Liu, Xiao-Ning; Lu, En-Jie; Liang, Cai-Yun; Pan, Bing-Ying; Wu, Shi-Jun
Title: [Analysis on the risk factors of severe acute respiratory syndromes coronavirus infection in workers from animal markets].
  • Cord-id: 0qcnceld
  • Document date: 2004_1_1
  • ID: 0qcnceld
    Snippet: OBJECTIVE To investigate the possible risk factors of severe acute respiratory syndromes coronavirus (SARS-CoV) infection in workers from animal markets. METHODS Self-designed questionnaires were used and serum samples were tested. Logistic regression analysis was used to analyze the data. RESULTS Results from simple factor logistic regression analysis showed that jobs which dealing with domestic livestock, wild livestock, wild animals, aquatics were related to risk factors of SARS-CoV infection
    Document: OBJECTIVE To investigate the possible risk factors of severe acute respiratory syndromes coronavirus (SARS-CoV) infection in workers from animal markets. METHODS Self-designed questionnaires were used and serum samples were tested. Logistic regression analysis was used to analyze the data. RESULTS Results from simple factor logistic regression analysis showed that jobs which dealing with domestic livestock, wild livestock, wild animals, aquatics were related to risk factors of SARS-CoV infection. Results from multifactor logistic regression analysis showed that jobs that dealing with wild livestock and poultry were important risk factors with OR 12.28 and 0.41. CONCLUSION Job that dealing with palm civets was the main risk factor of SARS-CoV infection in animal market workers.

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