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. (...)
Mots-clés Pascal : Paludisme, Protozoose, Parasitose, Infection, Indice gravité, Répartition géographique, Hospitalisation, Corrélation spatiotemporelle, Epidémiologie, Incidence, Mortalité, Taux, Enfant, Homme, Kenya, Afrique
Mots-clés Pascal anglais : Malaria, Protozoal disease, Parasitosis, Infection, Severity score, Geographic distribution, Hospitalization, Space time correlation, Epidemiology, Incidence, Mortality, Rate, Child, Human, Kenya, Africa
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 98-0251626
Code Inist : 002B05E02B4. Création : 11/09/1998.