The frequency of infectious disease epidemics is increasing, and the role of the health sector in the management of epidemics is crucial in terms of response. In the context of infectious disease epidemics, the use of climate-informed early warning systems (EWS) has the potential to increase the eff...ectiveness of disease control by intervening before or at the beginning of the epidemic curve, instead of during the downward slope.
Currently, the initiation of interventions is heavily reliant on routine disease surveillance systems – data that often arrive too late for preventative response. However, forecasting of disease outbreaks using surveillance and weather information shows promising potential – there also remains further scope to examine seasonal climate forecasts. By combining these elements in new EWS based on computational models, it will be possible to improve both the timeliness and impact of disease control. The World Health Organization (WHO) is strengthening existing surveillance systems for infectious diseases to enable the development of more robust and timely EWS, which has resulted in the rapid development and innovation of EWS for disease outbreaks.
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New data from the WHO reveal that an estimated 2.2 billion cases of malaria and 12.7 million deaths have been averted since 2000, but the disease remains a serious global health threat, particularly in the WHO African Region. According to WHO’s latest World malaria report, there were an estimated ...263 million cases and 597 000 malaria deaths worldwide in 2023. This represents about 11 million more cases in 2023 compared to 2022, and nearly the same number of deaths. Approximately 95% of the deaths occurred in the WHO African Region, where many at risk still lack access to the services they need to prevent, detect and treat the disease.
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This guide aims to provide an overview of successful practice from the field for the disaster risk reduction/management practitioner interested in EWS. It presents guiding principles that will build a strong foundation for the design or strengthening of EWS at any level. It is not an operational, bu...t a strategic, guide that insists on asking the right questions and exploring all perspectives prior even to deciding whether or not early warning is the appropriate tool for a given context.
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The Training Toolkit for Community Early Warning Systems is an operational manual that aims to strengthen early warning systems in a developing country context. It accompanies and should put into practice the guiding strategic principles found in the Community Early Warning Systems: Guiding Principl...es.
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