Research output: Contribution to journal › Conference article › peer-review
Gis-based infectious disease data management on a city scale, case study of St. Petersburg, Russia. / Kuznetsov, I.; Panidi, E.; Kolesnikov, A.; Kikin, P.; Korovka, V.; Galkin, V.
In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Vol. 43, No. B3, 06.08.2020, p. 1463-1467.Research output: Contribution to journal › Conference article › peer-review
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TY - JOUR
T1 - Gis-based infectious disease data management on a city scale, case study of St. Petersburg, Russia
AU - Kuznetsov, I.
AU - Panidi, E.
AU - Kolesnikov, A.
AU - Kikin, P.
AU - Korovka, V.
AU - Galkin, V.
N1 - Publisher Copyright: © 2020 International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/8/6
Y1 - 2020/8/6
N2 - 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.
AB - 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.
KW - GIS-based Data Management
KW - GIS-based Monitoring
KW - Infectious Disease
KW - Medical Cartography
UR - http://www.scopus.com/inward/record.url?scp=85091177066&partnerID=8YFLogxK
U2 - 10.5194/isprs-archives-XLIII-B3-2020-1463-2020
DO - 10.5194/isprs-archives-XLIII-B3-2020-1463-2020
M3 - Conference article
AN - SCOPUS:85091177066
VL - 43
SP - 1463
EP - 1467
JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
SN - 1682-1750
IS - B3
T2 - 2020 24th ISPRS Congress - Technical Commission III
Y2 - 31 August 2020 through 2 September 2020
ER -
ID: 70403385