scholarly journals Application of Epidemiological Geographic Information System: An Open-Source Spatial Analysis Tool Based on the OMOP Common Data Model

2020 ◽  
Vol 17 (21) ◽  
pp. 7824
Author(s):  
Jaehyeong Cho ◽  
Seng Chan You ◽  
Seongwon Lee ◽  
DongSu Park ◽  
Bumhee Park ◽  
...  
Keyword(s):  
United States ◽  
Information System ◽  
Geographic Information System ◽  
Spatial Analysis ◽  
Health Outcomes ◽  
Open Source ◽  
Geographical Distribution ◽  
The United States ◽  
Geographic Information ◽  
Common Data Model

Background: Spatial epidemiology is used to evaluate geographical variations and disparities in health outcomes; however, constructing geographic statistical models requires a labor-intensive process that limits the overall utility. We developed an open-source software for spatial epidemiological analysis and demonstrated its applicability and quality. Methods: Based on standardized geocode and observational health data, the Application of Epidemiological Geographic Information System (AEGIS) provides two spatial analysis methods: disease mapping and detecting clustered medical conditions and outcomes. The AEGIS assesses the geographical distribution of incidences and health outcomes in Korea and the United States, specifically incidence of cancers and their mortality rates, endemic malarial areas, and heart diseases (only the United States). Results: The AEGIS-generated spatial distribution of incident cancer in Korea was consistent with previous reports. The incidence of liver cancer in women with the highest Moran’s I (0.44; p < 0.001) was 17.4 (10.3–26.9). The malarial endemic cluster was identified in Paju-si, Korea (p < 0.001). When the AEGIS was applied to the database of the United States, a heart disease cluster was appropriately identified (p < 0.001). Conclusions: As an open-source, cross-country, spatial analytics solution, AEGIS may globally assess the differences in geographical distribution of health outcomes through the use of standardized geocode and observational health databases.

scholarly journals Application for Epidemiological Geographic Information System: An Open-Source Spatial Analysis Tool based on the Common Data Model (Preprint)

2019 ◽  
Author(s):  
Jaehyeong Cho ◽  
Seng Chan You ◽  
Seongwon Lee ◽  
DongSu Park ◽  
Bumhee Park ◽  
...  
Keyword(s):  
United States ◽  
Health Care ◽  
Information System ◽  
South Korea ◽  
Health Outcomes ◽  
Open Source ◽  
Data Model ◽  
Endemic Area ◽  
The United States ◽  
Common Data Model

BACKGROUND Although spatial epidemiology is widely used to evaluate geographic variations and disparities in health outcomes, constructing geographic statistical models usually requires a labor-intensive process that limits its overall utility. OBJECTIVE This study aimed to develop open-source software for scalable spatial epidemiological analysis based on standardized geocode and a health care database and to demonstrate its applicability and methodological quality across countries. METHODS We developed Application for Epidemiological Geographic Information System (AEGIS) based on a standardized geocode and common data model (CDM) for health care data. AEGIS was implemented to access the geographic distribution in the incidences and health outcomes of non–communicable and communicable diseases in South Korea and the United States, specifically, the (1) geographical distribution of incident cancers, (2) spatial heterogeneity of 5-year mortality in Korean patients with cancer, and (3) identification of an endemic area of malaria in South Korea and the United States. The results from South Korea were compared with those of previous studies to assess the reliability of AEGIS. RESULTS AEGIS provides two widely used spatial analysis methods for health outcome assessment: disease mapping and detection of concentrated clusters of medical conditions or outcomes. It was possible to describe the spatial distribution, assess the spatial heterogeneity, and detect the focused area of a medical condition or outcome in various databases from different countries. The AEGIS-generated spatial distribution of incident cancer in Korea was consistent with those of previous reports. AEGIS was able to detect the known endemic area of malaria in South Korea. CONCLUSIONS As an open-source, cross-country, spatial analytics solution, AEGIS may globally expedite the assessment of differences in geographic health outcomes through the use of standardized geocode and health care databases.

Cartographic Encounters at the Bureau of Indian Affairs Geographic Information System Center of Calculation

2012 ◽  
Vol 36 (2) ◽  
pp. 75-102 ◽  
Author(s):  
Mark Palmer
Keyword(s):  
United States ◽  
Information System ◽  
Geographic Information System ◽  
American Indians ◽  
The United States ◽  
Geographic Information ◽  
United States Bureau ◽  
Bureau Of Indian Affairs ◽  
Geospatial Technologies ◽  
Indian Affairs

The centering processes of geographic information system (GIS) development at the United States Bureau of Indian Affairs (BIA) was an extension of past cartographic encounters with American Indians through the central control of geospatial technologies, uneven development of geographic information resources, and extension of technically dependent clientele. Cartographic encounters included the historical exchanges of geographic information between indigenous people and non-Indians in North America. Scientists and technicians accumulated geographic information at the center of calculation where scientific maps, models, and simulations emerged. A study of GIS development at the United States Bureau of Indian Affairs will demonstrate some centering processes.

scholarly journals Assessment of Geographic Information System (GIS) Skills Employed by Graduates from Three Forestry Programs in the United States

Forests ◽  
2016 ◽  
Vol 7 (12) ◽  
pp. 304 ◽  
Author(s):  
Krista Merry ◽  
Pete Bettinger ◽  
Donald Grebner ◽  
Kevin Boston ◽  
Jacek Siry
Keyword(s):  
United States ◽  
Information System ◽  
Geographic Information System ◽  
The United States ◽  
Geographic Information ◽  
Forestry Programs

Mapping Women's World

2018 ◽  
Vol 3 (1) ◽  
pp. 14-25
Author(s):  
Khadijeh Rouzbehani ◽  
Shirin Rouzbehani
Keyword(s):  
Breast Cancer ◽  
United States ◽  
Information System ◽  
Geographic Information System ◽  
Breast Cancer Mortality ◽  
The United States ◽  
Geographic Information ◽  
High Rate ◽  
Background Information ◽  
Research Areas

Feminist geography and geographic information system(GIS) have been the most dynamic research areas over the last decade. Unfortunately, high breast cancer mortality rates have been reported in the northern part of the United states, with recent attention focused on the northern part of the United States. In this article, the authors investigate whether such a high rate of breast cancer is evenly spread in northern parts. The purpose of this article is to provide a more detailed analysis of the breast cancer distribution in the United States by comparing the spatial distribution of breast cancer cases against physical environmental factors using Geographic Information System (GIS). Further, it gives background information to the GIS and its applications in health-related research.

Mapping Women's World

2019 ◽  
pp. 869-881
Author(s):  
Khadijeh Rouzbehani ◽  
Shirin Rouzbehani
Keyword(s):  
Breast Cancer ◽  
United States ◽  
Information System ◽  
Geographic Information System ◽  
Breast Cancer Mortality ◽  
The United States ◽  
Geographic Information ◽  
Background Information ◽  
Health Related Research ◽  
Health Related

Feminist geography and geographic information system(GIS) have been the most dynamic research areas over the last decade. Unfortunately, high breast cancer mortality rates have been reported in the northern part of the United states, with recent attention focused on the northern part of the United States. In this article, the authors investigate whether such a high rate of breast cancer is evenly spread in northern parts. The purpose of this article is to provide a more detailed analysis of the breast cancer distribution in the United States by comparing the spatial distribution of breast cancer cases against physical environmental factors using Geographic Information System (GIS). Further, it gives background information to the GIS and its applications in health-related research.

Geographic Information System (GIS) Modeling Analysis and the Effects of Spatial Distribution and Environmental Factors on Breast Cancer Incidence

2018 ◽  
pp. 3448-3459
Author(s):  
Akram Gasmelseed ◽  
Ali H. Alharbi
Keyword(s):  
Breast Cancer ◽  
United States ◽  
Information System ◽  
Spatial Distribution ◽  
Geographic Information System ◽  
Environmental Factors ◽  
Breast Cancer Incidence ◽  
The United States ◽  
Geographic Information ◽  
Gis Modeling

Breast cancer is a public health problem among women in the United States. According to the American Cancer Society, about 40,290 women in the United States are expected to die in 2015 from breast cancer. This chapter contains an analysis of the breast cancer distribution in the United States by comparing the spatial distribution of breast cancer cases against physical environmental factors using Geographic Information System (GIS). Results show that the exposure to some spatial environmental factors seems likely to have a major impact on the overall trends in breast cancer rates. Moreover, the possibility to develop cancer is existing naturally through the environment factors.

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