title: An analysis of the geographical distribution of severe malaria in children in Kilifi District, Kenya.
abstract: BACKGROUND
  Although malaria is known to be a major cause of child mortality and morbidity throughout sub-Saharan Africa there are few detailed studies of malaria mortality rates and incidence of severe malarial disease in defined communities. We have studied the geographical pattern of admissions to hospital with severe malaria and the stability of this pattern over time in Kilifi District on the Kenyan Coast.
  
  
  METHODS
  Over a 2-year period all children under 5 years of age with severe malaria admitted to the district hospital and living in a rural study population of about 50,000 people were identified. Annual censuses were carried out in the study area, and all households were mapped using a hand-held satellite navigation system. The resulting databases were linked using a geographical information system (GIS).
  
  
  RESULTS
  Using methods originally developed for the study of the geographical distribution of childhood leukaemia we assessed the spatial pattern of hospital admission rates for severe malaria. As expected, admission rates were significantly higher in children with easier access to the hospital. For example, those living more than 25 km from the hospital had admission rates which were about one-fifth of those for children living within 5 km of the hospital. Those living more than 2.5 km from the nearest road had admission rates that were about half of those for children living within 0.5 km of a road. We also investigated short-term local fluctuations in severe malaria and found evidence of space-time clustering of severe malaria.
  
  
  CONCLUSIONS
  Hospital admission rates for severe malaria are higher in households with better access to hospital than in those further away. The finding of space-time clusters of severe malaria suggests that it would be of value to conduct case-control studies of environmental, genetic and human behavioural factors involved in the aetiology of the disease.
authors.affiliation: Tropical Health Epidemiology Unit, London School of Hygiene and Tropical Medicine, UK.
authors.forename: J A
authors.initials: JA
authors.lastname: Schellenberg
authors.forename: J N
authors.initials: JN
authors.lastname: Newell
authors.forename: R W
authors.initials: RW
authors.lastname: Snow
authors.forename: V
authors.initials: V
authors.lastname: Mung'ala
authors.forename: K
authors.initials: K
authors.lastname: Marsh
authors.forename: P G
authors.initials: PG
authors.lastname: Smith
authors.forename: R J
authors.initials: RJ
authors.lastname: Hayes
mesh_terms: D000818:Animals; D002675:Child, Preschool; D005843:Geography; D006760:Hospitalization / Q000706:statistics & numerical data; D006801:Humans; D015994:Incidence; D007223:Infant; D007231:Infant, Newborn; D007630:Kenya / Q000453:epidemiology; D016778:Malaria, Falciparum / Q000453:epidemiology*; D010963:Plasmodium falciparum; D013029:Space-Time Clustering