Search Results - "Koh, Keumseok"

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  1. 1

    Smart city lifestyle sensing, big data, geo-analytics and intelligence for smarter public health decision-making in overweight, obesity and type 2 diabetes prevention: the research we should be doing by Kamel Boulos, Maged N, Koh, Keumseok

    “…The public health burden caused by overweight, obesity (OO) and type-2 diabetes (T2D) is very significant and continues to rise worldwide. The causation of OO…”
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  2. 2

    Scheduling Complex Cyber-Physical Systems with Mixed-Criticality Components by Lee, Jaewoo, Koh, Keumseok

    Published in Systems (Basel) (01-06-2023)
    “…Two emerging trends for designing a complex, cyber-physical systems are the component-based and mixed-criticality (MC) approaches. A component-based approach…”
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  3. 3

    The Food Environments of Fruit and Vegetable Consumption in East and Southeast Asia: A Systematic Review by Cheung, Jason Tsz Him, Lok, Johnson, Gietel-Basten, Stuart, Koh, Keumseok

    Published in Nutrients (01-01-2021)
    “…Fruit and vegetable (FV) consumption benefits the health of populations. This can be especially the case in locations which have undergone significant changes…”
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  4. 4

    Big Geospatial Data or Geospatial Big Data? A Systematic Narrative Review on the Use of Spatial Data Infrastructures for Big Geospatial Sensing Data in Public Health by Koh, Keumseok, Hyder, Ayaz, Karale, Yogita, Kamel Boulos, Maged N.

    Published in Remote sensing (Basel, Switzerland) (01-07-2022)
    “…Background: Often combined with other traditional and non-traditional types of data, geospatial sensing data have a crucial role in public health studies. We…”
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  5. 5

    Media Reports on COVID-19 Vaccinations: A Study of Topic Modeling in South Korea by Koh, Keumseok, Lee, Seunghyeon, Park, Sangdon, Lee, Jaewoo

    Published in Vaccines (Basel) (01-12-2022)
    “…Early successes in controlling the COVID-19 pandemic have prevented Republic of Korea from implementing a prompt, large-scale vaccine rollout to the public…”
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  6. 6

    A metropolitan-scale, three-dimensional agent-based model to assess the effectiveness of the COVID-19 Omicron wave interventions in a hyperdense city: a case study of Hong Kong by Koh, Keumseok, Tang, Ka Chung, Axhausen, Kay, Loo, Becky P.Y.

    “…•A novel, 3D agent-based model simulated the COVID-19 Omicron spread in Hong Kong•Stringent interventions would be most effective during the peak time of the…”
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  7. 7

    Spatial-Temporal Accessibility and Inequality of Veterinary Service in Hong Kong: A Geographic Information System-Based Study by Ng, Ka Yiu, Ho, Chun Long, Koh, Keumseok

    Published in Frontiers in veterinary science (15-04-2022)
    “…Veterinary services are vital to the welfare of pets and their owners. Previous studies examined multiple factors affecting pet owners' decision to consult…”
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  8. 8

    Impacts of Federally Funded State Obesity Programs on Adult Obesity Prevalence in the United States, 1998-2010 by Koh, Keumseok, Grady, Sue C., Vojnovic, Igor, Darden, Joe T.

    Published in Public health reports (1974) (01-03-2018)
    “…Objectives: From 2000 to 2010, the Division of Nutrition, Physical Activity, and Obesity (DNPAO) at the Centers for Disease Control and Prevention (CDC) funded…”
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  9. 9

    Inpatient mortality in transition-aged youth with rheumatic disease: an analysis of the National Inpatient Sample by Jensen, Paul T, Koh, Keumseok, Cash, Rebecca E, Ardoin, Stacy P, Hyder, Ayaz

    Published in Pediatric rheumatology online journal (30-03-2020)
    “…Transition from pediatric to adult care is a vulnerable time for youth with chronic diseases. In youth with rheumatic disease, studies show high rates of loss…”
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  10. 10

    Impact of China’s financial development on the sustainable development goals of the Belt and Road Initiative participating countries by Li, Chenggang, Zhao, Gang, Koh, Keumseok Peter, Xu, Zhenci, Yue, Mu, Wang, Weiyan, Tan, Yuanyuan, Wu, Liang

    “…Abstract China’s Belt and Road Initiative (BRI) aims to strengthen regional economic and policy cooperation and achieve the rapid development among the…”
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  11. 11

    Spatial risk for a superspreading environment: Insights from six urban facilities in six global cities across four continents by Loo, Becky P Y, Tsoi, Ka Ho, Axhausen, Kay W, Cao, Mengqiu, Lee, Yongsung, Koh, Keumseok Peter

    Published in Frontiers in public health (05-04-2023)
    “…This study sets out to provide scientific evidence on the spatial risk for the formation of a superspreading environment. Focusing on six common types of urban…”
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  12. 12

    Toward equitable public transportation with pets: Accessing veterinary care under mobility constraints in Hong Kong through taxi fare analysis by Ng, Ka Yiu, Koh, Keumseok

    “…Equitable access to diverse opportunities for everyone is essential to public transportation. While the mobility for veterinary care visit is pivotal to One…”
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  13. 13

    Unveiling environmental inequalities in high-density Asian city: City-scaled comparative analysis of green space coverage within 10-minute walk from private, public, and rural housing by Sit, Ka Ying, Chen, Wendy Y., Ng, Ka Yiu, Koh, Keumseok, Zhang, Hongsheng

    Published in Landscape and urban planning (01-01-2025)
    “…•Green space coverages near home and along residents’ 10-minute walk were examined.•Disparities were found in pedestrian-centric, mixed-residential settings of…”
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  14. 14

    Designing an Agent-Based Model Using Group Model Building: Application to Food Insecurity Patterns in a U.S. Midwestern Metropolitan City by Koh, Keumseok, Reno, Rebecca, Hyder, Ayaz

    Published in Journal of urban health (01-04-2018)
    “…Recent advances in computing resources have increased interest in systems modeling and population health. While group model building (GMB) has been effectively…”
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  15. 15

    Examining disparities in food accessibility among households in Columbus, Ohio: an agent-based model by Koh, Keumseok, Reno, Rebecca, Hyder, Ayaz

    Published in Food security (15-04-2019)
    “…The objectives of this study were to evaluate the effect of complex interactions among household and environmental-level factors on household-level food…”
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  16. 16

    Beyond distance: Measuring spatial accessibility to healthy food for older adults in Hong Kong using a 3D least-effort method by Ng, Ka Yiu, Hong, Andy, Higgins, Christopher D., Widener, Michael J., Koh, Keumseok

    Published in Applied geography (Sevenoaks) (01-08-2024)
    “…An age-inclusive built environment is essential for promoting an accessible food landscape for the elderly population. However, previous research has focused…”
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  17. 17

    Explaining Racial Inequality in Food Security in Columbus, Ohio: A Blinder-Oaxaca Decomposition Analysis by Koh, Keumseok, Kaiser, Michelle L, Sweeney, Glennon, Samadi, Karima, Hyder, Ayaz

    “…Food insecurity is a leading public health challenge in the United States. In Columbus, Ohio, as in many American cities, there exists a great disparity…”
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  18. 18

    Using simulated data to investigate the spatial patterns of obesity prevalence at the census tract level in metropolitan Detroit by Koh, Keumseok, Grady, Sue C., Vojnovic, Igor

    Published in Applied geography (Sevenoaks) (01-08-2015)
    “…Obesity is a serious public health problem in the United States. It is important to estimate obesity prevalence at the local level to target programmatic and…”
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  19. 19

    Geographic Clustering of Fast-Food Restaurants Around Secondary Schools in Hong Kong by Cheung, Jason Tsz Him, Tang, Ka Chung, Koh, Keumseok

    Published in Preventing chronic disease (03-06-2021)
    “…Introduction Clustering of fast-food restaurants around schools facilitates fast-food consumption among students, which may cause obesity. We examined the…”
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  20. 20

    Explained and unexplained racial and regional inequality in obesity prevalence in the United States by Koh, Keumseok, Elder, Todd E., Grady, Sue C., Darden, Joe T., Vojnovic, Igor

    Published in Ethnicity & health (03-07-2020)
    “…Objective: There are substantial racial and regional disparities in obesity prevalence in the United States. This study partitioned the mean Body Mass Index…”
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