Abstract
Effective prevention and control of epidemics has been a key element of global, regional and national disease control policies for many years. Epidemics are by their nature abnormal events and will clearly challenge the normal routine approaches to control and provision of treatment. Epidemics are caused by unusual changes in the existing equilibrium between the human host, the pathogen and its vector. While the level of risk may be exacerbated by social factors, climate variability plays an important role and indeed it is most often abnormality in meteorological and environmental conditions that ‘triggers’ epidemics of the climate sensitive diseases.
Malaria and dengue are considered climate-sensitive diseases and in recent years there have been attempts to develop and test integrated early warning systems which seek to provide advance warning of changes in epidemic risk, through incremental indicators that allow control services greater opportunity to plan, choose and implement more timely and focused response in the areas affected. This paper uses the example of malaria early warning system applications in Southern Africa to illustrate the elements of the system, evidence of its potential benefits, including the control options it may provide and some of the current challenges and opportunities for its broader implementation in Africa and elsewhere.
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Connor, S.J., Mantilla, G.C. (2008). Integration of Seasonal Forecasts into Early Warning Systems for Climate-Sensitive Diseases such as Malaria and Dengue. In: Thomson, M.C., Garcia-Herrera, R., Beniston, M. (eds) Seasonal Forecasts, Climatic Change and Human Health. Advances in Global Change Research, vol 30. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-6877-5_4
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