Please use this identifier to cite or link to this item: http://repository.ipb.ac.id/handle/123456789/54626
Title: The use of logistic regression model to identify the risk factor of H5NL avian influenza virus of native chicken in Sumatera and Kalimantan Island, Indonesia
Authors: Etih Sudarnika
Saefuddin, Asep
Zahid, Abdul
Basri, Chaerul
Keywords: logistic model
generalized linear model
odds ratio
binary data
Issue Date: 2008
Publisher: Deparbnent of Mathematics, lITM
Series/Report no.: Special Edition, Part II;519 - 524
Abstract: The cross sectional study had been carried out in December 2005 at Kalimantan and Sumatera Island, Indonesia. The objective of this study was to apply the logistic regression model to identify the risk factor of H5N1 avian influenza virus of native chicken, 12,713 serum samples of chicken from 498 farmers was collected. The H5N1 virus was tested by Haemagglutination Inhibition (HI) test from serum samples and the information of risk factor was obtained from a questionnaire. The questionnaire included farmer's characteristic and farm management. Logistic regression model showed that an assodation with H5Nl virus infection risk at a 5% significance level was found for chicken house sanitation, feeding equipment sanitation, drinking equipment sanitation and chicken run sanitation. The multivariable regression analysis showed that an association with H5Nl virus infection risk at a 5% significance level was found for chicken house sanitation.
URI: http://repository.ipb.ac.id/handle/123456789/54626
Appears in Collections:Faculty of Mathematics and Natural Sciences

Files in This Item:
File Description SizeFormat 
18. The Use of Logistic Regression Model to Identify The Ri.pdfpdf357.75 kBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.