Abstract
Abstract. Medical geography and medical cartography can be denoted as classical application domains for Geographical Information Systems (GISs). GISs can be applied to retrospective analysis (e.g., human population health analysis, medical infrastructure development and availability assessment, etc.), and to operative disaster detection and management (e.g., monitoring of epidemics development and infectious diseases spread). Nevertheless, GISs still not a daily-used instrument of medical administrations, especially on the city and municipality scales. In different regions of the world situation varies, however in general case GIS-based medical data accounting and management is the object of interest for researchers and national administrations operated on global and national scales. Our study is focused onto the investigation and design of the methodology and software prototype for GIS-based support of medical administration and planning on a city scale when accounting and controlling infectious diseases. The study area is the administrative territory of the St. Petersburg (Russia). The study is based upon the medical statistics data and data collection system of the St. Petersburg city. All the medical data used in the study are impersonalized accordingly to the Russian laws.
Highlights
At the beginning of the 21st century, infectious diseases remain a major global problem
As the infectious disease data has time dimension, we provided dynamic map visualisation with the help of QGIS Time Manager11 module
While studied infectious diseases are discovered as associated and common visualisation of HIV and tuberculosis is valuable for medical staff, we composed these data on another one map series (Fig. 7)
Summary
At the beginning of the 21st century, infectious diseases remain a major global problem. This trend demonstrates serious concern of medical specialists and administrators in finding convenient tools for spatial tracking and analysis of diseases. To ensure geocoding of the already collected medical statistics data, and to provide possibility for direct collection and geocoding the data is GIS interface, geocoder interface was prototyped to support these two options (Fig. 2). It supports loading data from file for batch geocoding of retrospective data, and manual postal address filling for new coming data. Map data were used as underlying map when visualising the medical statistics and, as geometries source when medical statistics data geocoding
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
