REMOTE SENSING AND HEALTH DATA FUSION: METHODOLOGICAL CHALLENGES IN CHOLERA RESEARCH

摘要

The use of remote sensing data and technologies over the past thirty years has advanced research in spatial epidemiology. Remote sensing products often show significant correlations with cholera epidemics on a seasonal scale in various areas of the world. This paper focuses on the methodology for the use and fusion of remote sensing data for inland scenarios such as Lake Victoria. It addresses the complexities when analysing earth observation data together with health data. Contributing factors include data uncertainties and data collection and reporting protocols which are often influenced by a historically induced early institutional separation of infectious disease control (health institutions) and environmentally caused toxicological research. The proposed methodology highlights these aspects, describes approaches to support the efficient integration of in-situ sensors placed in and around inland water bodies, and reflect on new requirements related to remote sensing products and workflow tools.