Climate-Sensitive Disease Tool in the Horn of Africa

This report explores the development and implementation of a climate-sensitive disease forecasting tool in the Horn of Africa, with a focus on Kenya. The tool aims to predict and manage outbreaks of diseases influenced by climate variability, such as malaria, cholera, and Rift Valley Fever (RVF). The study highlights the significant impact of climate phenomena like the El Niño Southern Oscillation (ENSO) on disease patterns and emphasizes the need for improved early warning systems. Key findings include the identification of vulnerable populations, the importance of stakeholder engagement, and the challenges faced in data integration and policy coordination. Recommendations for enhancing responses to climate-sensitive diseases include the creation of user-friendly data tools, capacity building for health workers, and the development of comprehensive early warning systems. The study underscores the critical role of integrating climate and health data to improve decision-making and mitigate the effects of climate-related disease outbreaks.