Kenya displays large spatiotemporal diversity in its climate and ecology. It follows that malaria transmission will reflect this environmental heterogeneity in both space and time. In this article, we discuss how such heterogeneity, and its epidemiological consequences, should be considered in the development of early warning systems for malaria epidemics.

Original publication

DOI

10.1016/S1471-4922(00)01763-3

Type

Journal article

Journal

Trends in Parasitology

Publisher

Elsevier (Cell Press)

Publication Date

02/2001

Volume

17

Pages

95 - 99

Keywords

Disease Outbreaks, Ecology, Forecasting, Geography, Humans, Kenya, Malaria, Falciparum, Sentinel Surveillance, Weather