• Journal of the Korean Geographical Society
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• v.48 no.2
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• pp.218-238
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• 2013

The objective of my paper is to investigate historical change in concepts of medical geography and to present its historical vision. Modern medical geography was established in the name of medical topography in Europe where it had to control tropical diseases in the course of exploration and voyages for colonial interests. England developed medical geography in the name of sanitary reform, France did so for civilizing mission, and geomedicine prevailed in Germany. The twentieth century witnessed two traditions of medical geography, with focus on disease ecology and medical care system, respectively. In addition, the paper emphasizes the significance of cartography of disease as knowledge as power. As the identity of place becomes increasingly important in relation to health at the around of the twenty-first century, geography of health has emerged as a new promising discipline independently of medical and public health geography.

• Journal of the Economic Geographical Society of Korea
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• v.26 no.2
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• pp.155-168
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• 2023

Health geography has gained importance due to healthy smart cities, regions, and the integration of geo-internet and blockchain technologies. This study explores the intersection of geography and health, focusing on specific health challenges faced by individuals and groups. Using observational and descriptive methods, the study takes a regional approach to illuminate the socio-economic factors that are critical to addressing global health challenges. Drawing on academic literature and practical research, a concise case study of health challenges in Uzbekistan is presented, offering valuable insights. The analysis of data from informative articles and UN publications highlights the interdisciplinary nature of health geography and its practical applicability for researchers and policymakers. The findings underscore the important role of geography and health sciences in addressing region-specific diseases while highlighting the importance of spatial analysis in understanding environmental hazards and health impacts, including disease outbreaks.

• Journal of the Korean Geographical Society
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• v.47 no.5
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• pp.677-699
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• 2012

Climate changes may cause substantial changes in spatial patterns and distribution of vector-borne diseases (VBD's), which will result in a significant threat to humans and emerge as an important public health problem that the international society needs to solve. As global warming becomes widespread and the Korean peninsula characterizes subtropical climate, the potentials of climate-driven disease outbreaks and spread rapidly increase with changes in land use, population distributions, and ecological environments. Vector-borne diseases are typically infected by insects such as mosquitoes and ticks, and infected hosts and vectors increased dramatically as the habitat ranges of the VBD agents have been expanded for the past 20 years. Medical geography integrates and processes a wide range of public health data and indicators at both local and regional levels, and ultimately helps researchers identify spatiotemporal mechanism of the diseases determining interactions and relationships between spatial and non-spatial data. Spatial epidemiology is a new and emerging area of medical geography integrating geospatial sciences, environmental sciences, and epidemiology to further uncover human health-environment relationships. An introduction of GIS-based disease monitoring system to the public health surveillance system is among the important future research agenda that medical geography can significantly contribute to. Particularly, real-time monitoring methods, early-warning systems, and spatial forecasting of VBD factors will be key research fields to understand the dynamics of VBD's.

• Journal of the Korean association of regional geographers
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• v.21 no.3
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• pp.583-592
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• 2015

As the increase of an environmental disease has become a social problem after industrialization, academic interest in a spatial difference and characteristics of an environmental disease is on rise. The purpose of this study is to analyze the spatial distribution and characteristics of an environmental disease using the data provided by National Health Insurance Corporation in 2009. This research is focusing on atopic dermatitis among a variety of environmental diseases and shows the map that atopic dermatitis patients are distributed. Also, The Local Moran's I show how spatial autocorrelation of atopic dermatitis patients are distributed. First, the distribution of atopic dermatitis patients show the spatial difference. Second, 42 places including the western part of Incheon are hot spots of atopic dermatitis. Third, 39 places including Danyang are cold spot of atopic dermatitis. Forth, Jeju-si and Seogwipo-si are unusually hot spot of atopic dermatitis. These results have important implications that further research need to be done in public health geography.

• Journal of the Korean Geographical Society
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• v.49 no.6
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• pp.897-916
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• 2014

There is a considerable community between Eight Constitution Medicine and disease ecology in that they examine the relationship between humans and environment in terms of genetic, environmental and cultural factors, in addition to the factor of germs. In this respect, the purpose of this research aims to investigate the community between Eight Constitution Medicine, a branch of Eastern Medicine and disease ecology in geography. The research method is to analyse the clinical results from 647 patients and the data from a field survey on the Yeonggwang-gun County, Jeollanam-do Province. The results are summarized as the following: First, geographical distribution of patients varies depending on the type of physical constitution; it is also divided into two types, an oceanic type and an inland type. Second, it is highly probable that there is a significant relation between a vulnerable disease in association with a type of physical constitution and patient's native place; there are diseases that are not associated with all the patients who have the same constitution; they might be incurred by the eating or life habits in association with the characteristics of geographical environment. Third, the case study of Yeonggwang-gun County, Jeollanam-do Province, with a focus on the mutual relationship among the three factors. shows that patients, who share in common the eating or life habits that coincide with their own personal types of constitution, maintain a good health condition; if not, they tend to be exposed to a various kinds of disease. Because the study on the community between Eight Constitution Medicine and disease ecology is now at the early stage, diverse types of approaches should be tried to be applied in the future.

• Electronics and Telecommunications Trends
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• v.38 no.3
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• pp.66-77
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• 2023

Governments intend to use the public warning system to deliver timely and accurate information using accessible communication technologies for protecting the population and reducing damage to life and property. In particular, many countries implement system interworking with smartphones to notify of disasters or emergencies. In Korea, since 2020, due to the influence of the coronavirus disease, frequent emergency text messages led people to turn off related notifications, and complaints for receiving irrelevant messages from nearby warning areas have increased. Therefore, technical improvements for issuing more accurate disaster information to a specific region should be devised through a geography-based emergency disaster message transmission service. We analyze development trends of public warning systems and service cases of geography-based emergency text transmission services in various countries.

• Journal of the Korean association of regional geographers
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• v.20 no.3
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• pp.334-343
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• 2014

The number of malaria cases has been undulating for the past 10 years in Korea since the reemergence of malaria in early 1990's. Considering the spatial variations of malaria incidence across the northmost border areas near the demilitarized zone (DMZ), the occurrence of the disease seems to be influenced by the natural and human environment in the region. Malaria is an infectious disease that is transmitted to humans by the bites of vector-mosquitoes that carry malaria parasites, and its incidence rate depends on specific climatic and sociodemographic factors. This study found that the spatial characteristics of malaria incidence have varied depending on relative proportions of mosquito habitats, distance between mosquito habitats and human residence, the physical and sociodemographic environments of the city by urbanization, and local topography.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.17
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• pp.7737-7742
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• 2015

Background: Cancer is one of the common causes of disability and mortality in the world. The present study aimed to define the spatiotemporal distribution of gastrointestinal tract cancers using a geographic information system (GIS) over the time period of 2007-2012 in Kermanshah-Iran. Materials and Methods: The method of studying was descriptive-analytical as well as comparative with gastrointestinal tract cancer patients based in the City of Kermanshah over the time period covered. For data analysis, the GIS and SPSS 16.0 were applied. Results: According to the pathological reports within the space of 5 years, 283 cases of gastrointestinal tract cancer (157 in males, 156 in females) were reported. The performed tests in terms of spatial distribution in the environment of GIS indicated that the disease demonstrated a clustered pattern in the City of Kermanshah. More to the point, some loci of this disease have emerged in the City of Kermanshah that in the first level, 6 neighborhoods with 29-59 cases of this disease per square kilometer and in the second level, 15-29 cases. Conclusions: Gastrointestinal tract cancer demonstrated an ascending trend within the space of 5 years of research and the spatiotemporal distribution of cancer featured a concentrated and clustered pattern in the City of Kermanshah.

• Journal of the Korean Association of Geographic Information Studies
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• v.16 no.3
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• pp.12-24
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• 2013

Eradication of endemic malaria was declared in mid 1980's in Korea, but the number of malaria cases has been oscillating for the past 10 years since the reemergence of the disease in early 1990's. The occurrence of malaria has been concentrated near the demilitarized zone(DMZ), and the regional characteristics of the disease are evident. Considering the spatial variations of malaria incidence across the high-risk areas, the hotspot of the disease, it seems that the occurrence of the disease is influenced by the natural and human environment in the region. Malaria is an infectious disease that is transmitted to humans by the bites of vector-mosquitoes carrying malaria parasites, and it depends on specific climatic and sociodemographic factors. Malaria transmission is highly climate-sensitive, and temperature is the most important component. In addition, human contacts with vector-mosquitoes and the distance between human residence and mosquito habitats are crucial conditions determining malaria incidence rates. The present study aimed to test a hypothesis that the spatial characteristics of malaria incidence depended on local climatic conditions, relative proportions of mosquito habitats, and the distance between mosquito habitats and human residence using meteorological and satellite-based land cover data.

• International Journal of Contents
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• v.17 no.3
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• pp.1-14
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• 2021

Since the outbreak of the coronavirus disease 2019 (COVID-19) pandemic, a lot of efforts have been made in the field of data science to help combat against this disease. Among them, forecasting the number of cases of infection is a crucial problem to predict the development of the pandemic. Many deep learning-based models can be applied to solve this type of time series problem. In this research, we would like to take a step forward to incorporate spatial data (geography) with time series data to forecast the cases of region-level infection simultaneously. Specifically, we model a single spatio-temporal graph, in which nodes represent the geographic regions, spatial edges represent the distance between each pair of regions, and temporal edges indicate the node features through time. We evaluate this approach in COVID-19 in a Korean dataset, and we show a decrease of approximately 10% in both RMSE and MAE, and a significant boost to the training speed compared to the baseline models. Moreover, the training efficiency allows this approach to be extended for a large-scale spatio-temporal dataset.