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Communication incl. Poster: BibTeX citation key:  ConstantindeMagny
Constantin de Magny, G., Murtugudde, R., Thiaw, W. M. & Colwell, R. R. 2009. Are outbreaks of cholera in Africa related to high impact weather / climate events? Work presented at Third International AMMA Conference, July 20—24, at Ouagadougou, Burkina Faso.
Added by: roussot 2009-10-19 16:19:15
Categories: Monsoon system and its variability, Society-Environment-Climate interactions
Keywords: Health
Creators: Colwell, Constantin de Magny, Murtugudde, Thiaw
Publisher: African Monsoon Multidisciplinary Analyses (Ouagadougou, Burkina Faso)
Collection: Third International AMMA Conference

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Vector-borne diseases have long been recognized to be climate driven, but it is now clear that many infectious diseases are intricately related to weather patterns, climate, and seasonality. Epidemics of cholera, a devastating disease occurring predominantly in developing countries, has been shown to be directly correlated with environmental parameters, including rainfall, sea surface temperature, sea surface height, and salinity, among others. Recent studies incorporating satellite sensing technology, ground truth measurements, and microbiological analyses have provided the basis for predictive modeling of cholera epidemics in Bangladesh, India, Latin America, and East Africa. Conducting an historical analysis of the association of environmental, i.e., oceanic, coastal, terrestrial and atmospheric, variability and cholera outbreaks in Africa, where cholera has been recorded since the years 70’s, provides a new perspective for multidisciplinary research. Several environmental parameters have been identified that are useful for historical modeling of cholera outbreaks, e.g. precipitation, land temperature at the 2 meter level, sea surface temperature, sea surface height, and ocean chlorophyll concentration. Preliminary descriptive analyses have focused on synchrony, or lags, between incidence and the environmental variables. When the ecology of Vibrio cholerae is considered in preparing predictive models, a robust early warning system for cholera in endemic regions of the world can be obtained that are useful for public health planning and decision making.
Added by: roussot