KIT’s epidemiology team is dedicated to ensuring/promoting accessible and equitable healthcare for all, regardless of social, demographic, or epidemiological contexts. We use state-of-the-art data analyses techniques to generate evidence to optimize health interventions and to inform local and targeted health planning. With this, we generate strategic information tailored to the needs at different levels of the health system.  

The team has a strong track record applying geo-spatial analysis, complex-survey-design analysis as well as innovative statistical approaches (Bayesian estimation, Artificial Intelligence) to integrate and analyze health data from various sources (e.g., Health Management Information Systems, surveys, remote sensing). While this capacity is cornerstone to the work we do, other, less complex analytical approaches and innovative data visualizations are also used to improve the understanding and uptake of our results. 

Key expertise areas of the team are prevention and care of tuberculosis and neglected tropical diseases (NTD) and maternal and child health care. The team is recognized for its monitoring and evaluation approach, third party evaluations and innovative research.  We support organizations in designing tailored interventions targeted to the local context to enhance access to healthcare and improve efficiency.  

The following are core to our work: 

• Use of routinely collected health data 
• Strengthen health information systems 
• Apply, leverage and stimulate analysis and use open-source data and tools 
• We value mixed-methods 
• Adhere to good epidemiological practice (BRIDGE guidelines) 
• Knowledge transfer and brokering 
• Global partnerships.