Airborne dust monitoring is crucial to characterize Martian atmosphere' thermal structure, balance and dynamics. In order to achieve this objective, the MicroMED instrument has been selected to join the Dust Suite payload within the ExoMars 2020 mission. The particle analyzer is mainly developed to characterize the dust on Mars but, the instrument is suitable to be mounted on different landers or rovers thanks to the limited mass budget and size. In this study, design of the instrument has been reported as long as preliminary testing in representative environment of a mockup of the pumping system.

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Medical geography and medical cartography have a long history. These domains cover both the tasks of retrospective monitoring and analysis (e.g., human population health monitoring, medical infrastructure development and availability assessment, etc.), and operative identification and management of emergencies (e.g., monitoring of epidemics development and infectious diseases spread). The same problems can be attributed also as the classical issues of Geographical Information Systems (GISs) implementation into applied domains. At the same time, implementation of particular geospatial facilities and technologies when such monitoring is performed on a city or municipality scale has its own specific, and always turns out to be significantly dependent on the architecture and technology of the health management system in a given city (or municipality). Our research is devoted to the investigation of the possibilities for GIS-based support of medical administration and planning on a city scale and performed on the example of Saint Petersburg city (Russia). Basing on the medical data collection system developed and used by Saint Petersburg medical administration, we are working on the design of a GIS-based monitoring system prototype that can be used for infectious diseases monitoring, and can allow accumulation of georeferenced medical data, study of spatiotemporal dynamics of disease rate, and disease patterns identification. Currently we are identifying challenges and problems allocated at the system conceptualizing and design stage. Medical data integration into GIS database is discovered in the paper.

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