title: Spatio-temporal magnitude and direction of highly pathogenic avian influenza (H5N1) outbreaks in Bangladesh.
abstract: BACKGROUND
  The number of outbreaks of HPAI-H5N1 reported by Bangladesh from 2007 through 2011 placed the country among the highest reported numbers worldwide. However, so far, the understanding of the epidemic progression, direction, intensity, persistence and risk variation of HPAI-H5N1 outbreaks over space and time in Bangladesh remains limited.
  
  
  RESULTS
  To determine the magnitude and spatial pattern of the highly pathogenic avian influenza A subtype H5N1 virus outbreaks over space and time in poultry from 2007 to 2009 in Bangladesh, we applied descriptive and analytical spatial statistics. Temporal distribution of the outbreaks revealed three independent waves of outbreaks that were clustered during winter and spring. The descriptive analyses revealed that the magnitude of the second wave was the highest as compared to the first and third waves. Exploratory mapping of the infected flocks revealed that the highest intensity and magnitude of the outbreaks was systematic and persistent in an oblique line that connects south-east to north-west through the central part of the country. The line follows the Brahmaputra-Meghna river system, the junction between Central Asian and East Asian flyways, and the major poultry trading route in Bangladesh. Moreover, several important migratory bird areas were identified along the line. Geostatistical analysis revealed significant latitudinal directions of outbreak progressions that have similarity to the detected line of intensity and magnitude.
  
  
  CONCLUSIONS
  The line of magnitude and direction indicate the necessity of mobilizing maximum resources on this line to strengthen the existing surveillance.
authors.affiliation: Department of Large Animal Sciences, Faculty of Life Sciences, University of Copenhagen, Frederiksberg, Copenhagen, Denmark. ssua@life.ku.dk
authors.forename: Syed S U
authors.initials: SS
authors.lastname: Ahmed
authors.forename: Annette K
authors.initials: AK
authors.lastname: Ersbøll
authors.forename: Paritosh K
authors.initials: PK
authors.lastname: Biswas
authors.forename: Jens P
authors.initials: JP
authors.lastname: Christensen
authors.forename: Nils
authors.initials: N
authors.lastname: Toft
mesh_terms: D000818:Animals; D001459:Bangladesh / Q000453:epidemiology; D001499:Bayes Theorem; D004196:Disease Outbreaks / Q000706:statistics & numerical data* / Q000662:veterinary*; D005843:Geography; D053124:Influenza A Virus, H5N1 Subtype / Q000472:pathogenicity*; D005585:Influenza in Birds / Q000453:epidemiology* / Q000401:mortality / Q000821:virology*; D008136:Longevity; D011200:Poultry / Q000821:virology; D013997:Time Factors