ArticleSustainable cities and society2021
Exploratory study on the spatial relationship between emerging infectious diseases and urban characteristics: Cases from Korea.
Article in Sustainable cities and society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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25 citing papers in PubMed, 46 citations in OpenAlex.
- Complex exposure-response relationships between meteorological factors and severe fever with thrombocytopenia syndrome risk.Tropical medicine and health · 2026Article
- Regional heterogeneity of spatial-temporal characteristics and meteorological-environmental driving factors of hemorrhagic fever with renal syndrome in China.One health (Amsterdam, Netherlands) · 2026Article
- Spatiotemporal patterns of climate-sensitive vector-borne diseases in Bangladesh: leveraging machine learning and spatial regression for intervention strategies.BMC medicine · 2026Article
- Spatiotemporal patterns and typological differences in the development-protection nexus of resource-based cities in China.Scientific reports · 2026Article
- Non-negligible impacts of urbanization on spatiotemporal variations of infectious disease: a case study of hemorrhagic fever with renal syndrome epidemics in China.Infectious diseases of poverty · 2025Article
- Machine learning and spatio-temporal analysis of meteorological factors on waterborne diseases in Bangladesh.PLoS neglected tropical diseases · 2025Article
- From infectious diseases to chronic diseases: the paradigm shift of spatial epidemiology in disease prevention and control.Frontiers in public health · 2025Review
- Spatial Analysis of Health System Factors in Infectious Disease Management: Lessons Learned from the COVID-19 Pandemic in Korea.Healthcare (Basel, Switzerland) · 2024Article
- Spatio-temporal pattern and associate meteorological factors of airborne diseases in Bangladesh using geospatial mapping and spatial regression model.Health science reports · 2024Article
- Identification of Early Warning Signals of Infectious Diseases in Hospitals by Integrating Clinical Treatment and Disease Prevention.Current medical science · 2024Article
- Article
- Study on the spatial decomposition of the infection probability of COVID-19.Scientific reports · 2023Article
- Effect of Rapid Urbanization in Mainland China on the Seasonal Influenza Epidemic: Spatiotemporal Analysis of Surveillance Data From 2010 to 2017.JMIR public health and surveillance · 2023Article
- Spatial relationship between COVID-19 and previous infectious disease outbreaks: Evidence from South Korea.Heliyon · 2023Article
- Natural land cover positively correlates with COVID-19 health outcomes.BMC public health · 2023Article
- Online citizen petitions related to COVID-19 in South Korean cities: a big data analysis.The Annals of regional science · 2022Article
- Data-driven multiscale modelling and analysis of COVID-19 spatiotemporal evolution using explainable AI.Sustainable cities and society · 2022Article
- Designing for the post-pandemic era: Trends, focuses, and strategies learned from architectural competitions based on a text analysis.Frontiers in public health · 2022Article
- What determines urban resilience against COVID-19: City size or governance capacity?Sustainable cities and society · 2021Article
- Correlating dynamic climate conditions and socioeconomic-governmental factors to spatiotemporal spread of COVID-19 via semantic segmentation deep learning analysis.Sustainable cities and society · 2021Article
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1 author at 1 institution in 1 country.
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Abstract
In the modern global context of interconnected populations, the recent emergence of infectious diseases involves complex interactions. The purpose of this study is to investigate the spatial correlations between urban characteristics, taking into account the socio-ecological aspects, and the emergence of infectious diseases. Using exploratory spatial data analysis and spatial regression between the infectious disease emergence data and 14 urban characteristics, we analyzed 225 spatial units in South Korea, where there was a re-emergence of measles and a 2015 outbreak of Middle East Respiratory Syndrome. As results of exploratory spatial data analysis, the emerging infectious diseases had spatial dependence and showed spatial clusters. Spatial regression models showed that urban characteristic factors had different effects according to the type of infectious disease. Common factors were characteristics related to low socioeconomic status in water or food-borne diseases and manageable infectious diseases. Intermittent infections disease epidemics are related to high-quality residential environments and the response capacity of the local government. New infectious diseases are different than other infectious diseases, which are related to the ecological environment. This study suggests spatial policies for preventing infectious diseases considering the spatial relationships between urban characteristics and infectious diseases as well as the management of public health.
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