International Journal of Infectious Diseases
Volume 14, Issue 9 , Pages e800-e805 , September 2010

Risk factors of poultry outbreaks and human cases of H5N1 avian influenza virus infection in West Java Province, Indonesia

  • Yuni Yupiana

      Affiliations

    • National Veterinary Drug Assay Laboratory, Ministry of Agriculture, Jl. Raya Pembangunan, Gunungsindur, Bogor, Indonesia
    • Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
    • Corresponding Author InformationCorresponding author. Tel.: +62 811 110 7316; fax: +62 21 756 0466.
  • ,
  • Sake J. de Vlas

      Affiliations

    • Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
  • ,
  • Nana M. Adnan

      Affiliations

    • Provincial Livestock Office, West Java, Indonesia
  • ,
  • Jan Hendrik Richardus

      Affiliations

    • Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands

Received 10 September 2009 ,Revised 21 January 2010 ,Accepted 11 March 2010.

  • Image Result

    Map showing the number of highly pathogenic avian influenza (HPAI) H5N1 cases in humans (indicated by the numbers) and the number of HPAI poultry outbreaks (indicated as color gradient) in 25 district

    Map showing the number of highly pathogenic avian influenza (HPAI) H5N1 cases in humans (indicated by the numbers) and the number of HPAI poultry outbreaks (indicated as color gradient) in 25 districts (including nine cities, which are regarded as separate districts) in West Java Province, Indonesia, from 2005 to 2008.

  • Image Result
    The association of the number of HPAI outbreaks in poultry per million poultry population with poultry density in West Java Province, Indonesia. The markers indicate the observed numbers in 25 distric

    The association of the number of HPAI outbreaks in poultry per million poultry population with poultry density in West Java Province, Indonesia. The markers indicate the observed numbers in 25 districts. One district (Ciamis) had no poultry outbreaks, which was in the figure included as 0.5 outbreaks (square). The lines result from Poisson regression through generalized linear modeling, using poultry density as univariate factor. Gray represents a linear association: y = 106 × exp (−10.599 – 0.281x). Black represents a second order polynomial: y = 106 × exp (−9.990 – 0.581x+0.028x2).

PII: S1201-9712(10)02407-0

doi: 10.1016/j.ijid.2010.03.014

International Journal of Infectious Diseases
Volume 14, Issue 9 , Pages e800-e805 , September 2010