title: Spatial malaria epidemiology in Bangladeshi highlands.
abstract: BACKGROUND
  Malaria is a major public health burden in the south-eastern part of Bangladesh, particularly in the Chittagong Hill Tracts region. In 2007, BRAC and ICDDR,B carried out a malaria prevalence survey in the endemic regions including the Khagrachari District.
  
  
  METHODS
  This study was done to detect clusters of malaria and identify the geographic risk factors. Thirty mauzas (the lowest administrative unit/bigger than village in Bangladesh that has polygon boundary) from the area were selected for the survey using probability proportional to size (PPS) sampling. Twenty-five households within each mauza were then randomly selected for screening, with a GPS point being recorded at each household. Rapid diagnostic tests were used to diagnose malaria.
  
  
  RESULTS
  The average malaria prevalence in the District was 15.47% (n = 750). SaTScan detected five geographic clusters of malaria, one of which was highly significant (p = 0.001). Malaria cases were significantly associated with proximity to water bodies and forests.
  
  
  CONCLUSIONS
  The data presented in this paper are the first step to understanding malaria in southeastern Bangladesh from a micro-geographic perspective. The study results suggest that there are 'malaria hot-spots' in the study area. The government of Bangladesh and non-governmental organizations involved in malaria control should consider these results when planning malaria control measures. In particular, malaria maps should be updated on a regular basis as new data become available.
authors: International Center for Diarrhoeal Disease Research Bangladesh, Dhaka, Bangladesh. ubydul@icddrb.org
authors: Ubydul
authors: U
authors: Haque
authors: Mamun
authors: M
authors: Huda
authors: Awlad
authors: A
authors: Hossain
authors: Syed Masud
authors: SM
authors: Ahmed
authors: Mohammad
authors: M
authors: Moniruzzaman
authors: Rashidul
authors: R
authors: Haque
mesh_terms: D000818:Animals; D001459:Bangladesh / Q000453:epidemiology; D005843:Geography; D006801:Humans; D008288:Malaria / Q000453:epidemiology*; D015995:Prevalence; D012307:Risk Factors