Gis-Based Infectious Disease Data Management on a City Scale, Case Study of St. Petersburg, Russia

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.

Application of the Gis-Based 3d Modeling of Multiflat Buildings to Assess the Prevalence of Tuberculosis on a City Scale

“…The addition of point address features for every patient with tuberculosis infection was also performed manually, with the exception of cases in the area of Chudnovsky Street, where there were significant volume of patients, and the area was limited to 2 residential buildings. To implement this task, we used our own previously development geocoding module for QGIS (Kuznetsov, 2020a).…”

“…The topic of GIS technology use in medicine has been studied by us since the 2019. We have developed our own geocoder upon Nominatim OpenStreetMap geocoding engine (Kuznetsov at al., 2020a), and have used Web GIS to detect the problems and successes in the fight against tuberculosis in St. Petersburg (Kuznetsov at al., 2020b). Initially, we worked on detection of the tuberculosis infection and other diseases hotbeds, based on residence data of patients.…”

Gis And Remote Sensing: A Review Of Applications To The Study Of The Covid-19 Pandemic

“…This is of great importance for strictly implementing isolation or social distancing rules and early warning and prevention of future outbreaks. After COVID-19 rapidly spread across China and the rest of the world, many studies make use of GIS to detect the spatio-temporal changes in many countries, especially in the worst-affected countries such as the USA (Feng et al 2020;Rui et al 2021;Wang et al 2021), Italy (Giuliani et al 2020;Gross et al 2020;He et al 2020), England (Elson et al 2021;Sartorius et al 2021), South Korea (He et al 2020;Kim and Castro 2020;Lee et al 2020), Iran (He et al 2020), Brazil (Castro et al 2021), Russia (Kuznetsov et al 2020a) and most recently in India (Bag et al 2020;Bhunia et al 2021).…”

“…At the same time, Cicalò and Valentino (2019) successfully used the web-based for the study of epidemics and design of the web maps on COVID-19. Since then, more WebGISbased applications for mapping COVID-9 have been created for each country such as Russia (Kuznetsov et al 2020a;Momynaliev et al 2021), the USA (Cicalò and Valentino 2019;Gao et al 2020), China (Xu et al 2020), UK (Mooney and Juhász 2020), Israel (Rossman et al 2020) and Italy (Mooney and Juhász 2020).…”

A systematic literature review of applications of geographic information system in COVID-19 studies

“…GIS has been commonly used for monitoring and management of natural resouces (4-7), environment (8)(9)(10) and climate change (11,12). The applications of GIS have been widely applied in health sciences such as effective and fast decision making (13,14), prediction and analysis of diseases (15,16), management of health programs (17,18), diseases (19,20) and environmental health (21,22), accessing mental health services (23,24), disease mapping (25,26), and investigating epidemics (27,28). For instance, there have been attempts to investigate the use of GIS in disease wjbphs.com studies such as the analysis the geography of disease (29) and in the study of the global distribution of infectious diseases (30).…”