Periodicity and space-time clustering of severe childhood malaria on the coast of Kenya.

Abstract

Traditionally malaria epidemiology has focused on factors such as parasite rates and vector dynamics without specific reference to disease. There are limited comprehensive data on malaria as a life-threatening event in African children. We have identified, through hospital surveillance, 581 episodes of severe malaria in residents of a defined area on the Kenya coast over a period of 3 years. This represents an absolute minimum risk of developing severe malaria by the fifth birthday of 1 in 15. The presentation of severe malaria showed marked seasonality, but the timing and magnitude of these fluctuations varied considerably between years. A satellite navigational system was used to define the exact location of the home of each severe malaria case. Space-time clustering of severe malaria was evident in this community. Seasonal peaks in incidence of severe malaria may comprise discrete mini-epidemics. In contrast, parasite rates in the community varied little during the course of the surveillance. The monitoring of disease, as opposed to parasitization, in children may result in more effective targeting of intervention resources.

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@article{Snow1993PeriodicityAS, title={Periodicity and space-time clustering of severe childhood malaria on the coast of Kenya.}, author={Robert W. Snow and Joanna R M Armstrong Schellenberg and Norbert Peshu and Dietmar Forster and Charles R Newton and Peter A. Winstanley and Ibrahim Ndungu Mwangi and C M Waruiru and Peter A. Warn and Christopher I. Newbold}, journal={Transactions of the Royal Society of Tropical Medicine and Hygiene}, year={1993}, volume={87 4}, pages={386-90} }