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COVID-19: Special Article
Mainstreaming of Health Equity in Infectious Disease Control Policy During the COVID-19 Pandemic Era
Hongjo Choi, Seong-Yi Kim, Jung-Woo Kim, Yukyung Park, Myoung-Hee Kim
J Prev Med Public Health. 2021;54(1):1-7.   Published online January 15, 2021
DOI: https://doi.org/10.3961/jpmph.20.593
  • 5,281 View
  • 303 Download
  • 8 Web of Science
  • 9 Crossref
AbstractAbstract AbstractSummary PDF
The Korean government’s strategy to combat coronavirus disease 2019 (COVID-19) has focused on non-pharmaceutical interventions, such as social distancing and wearing masks, along with testing, tracing, and treatment; overall, its performance has been relatively good compared to that of many other countries heavily affected by COVID-19. However, little attention has been paid to health equity in measures to control the COVID-19 pandemic. The study aimed to examine the unequal impacts of COVID-19 across socioeconomic groups and to suggest potential solutions to tackle these inequalities. The pathways linking social determinants and health could be entry points to tackle the unequal consequences of this public health emergency. It is crucial for infectious disease policy to consider social determinants of health including poor housing, precarious working conditions, disrupted healthcare services, and suspension of social services. Moreover, the high levels of uncertainty and complexity inherent in this public health emergency, as well as the health and socioeconomic inequalities caused by the pandemic, underscore the need for good governance other than top-down measures by the government. We emphasize that a people-centered perspective is a key approach during the pandemic era. Mutual trust between the state and civil society, strong accountability of the government, and civic participation are essential components of cooperative disaster governance.
Summary
Korean summary
"이 연구는 코로나19 대유행이 건강불평등에 미치는 영향을 검토하고, 불평등 완화 방안을 제시하고자 한다. 건강의 사회적 결정요인은 코로나19와 건강불평등을 이해하기 위한 출발점이다. 건강의 사회적 결정요인은 코로나19 감염과 그로 인한 사망 등 직접영향 경로와 코로나19 대응과정의 문제로 건강불평등을 야기하는 간접영향 경로에 모두 관여한다. 공중보건위기로 인한 건강불평등을 줄이기 위해서는 시민참여를 통한 협력적 거버넌스 강화와 모든 건강정책에서 사람중심돌봄의 관점을 견지하는 것이 필요하다."

Citations

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Special Articles
General Factors of the Korean Exposure Factors Handbook
Jae-Yeon Jang, So-Yeon Kim, Sun-Ja Kim, Kyung-Eun Lee, Hae-Kwan Cheong, Eun-Hye Kim, Kyung-Ho Choi, Young-Hee Kim
J Prev Med Public Health. 2014;47(1):7-17.   Published online January 29, 2014
DOI: https://doi.org/10.3961/jpmph.2014.47.1.7
  • 13,162 View
  • 142 Download
  • 26 Crossref
AbstractAbstract PDF

Risk assessment considers the situations and characteristics of the exposure environment and host. Various physiological variables of the human body reflects the characteristics of the population that can directly influence risk exposure. Therefore, identification of exposure factors based on the Korean population is required for appropriate risk assessment. It is expected that a handbook about general exposure factors will be used by professionals in many fields as well as the risk assessors of the health department. The process of developing the exposure factors handbook for the Korean population will be introduced in this article, with a specific focus on the general exposure factors including life expectancy, body weight, surface area, inhalation rates, amount of water intake, and soil ingestion targeting the Korean population. The researchers used national databases including the Life Table and the 2005 Time Use Survey from the National Statistical Office. The anthropometric study of size in Korea used the resources provided by the Korean Agency for Technology and Standards. In addition, direct measurement and questionnaire surveys of representative samples were performed to calculate the inhalation rate, drinking water intake, and soil ingestion.

Summary

Citations

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    Aerosol Science and Technology.2024; 58(3): 309.     CrossRef
  • Occurrence, time trends, and human exposure of siloxanes and synthetic musk compounds in indoor dust from Korean homes
    Wenming Chen, Jin-Su Oh, Jae-Eun Lim, Hyo-Bang Moon
    Ecotoxicology and Environmental Safety.2023; 266: 115538.     CrossRef
  • Updated general exposure factors for risk assessment in the Korean population
    Hyojung Yoon, Jungkwan Seo, Sun-Kyoung Yoo, Pil-Je Kim, Jinhyeon Park, Youngtae Choe, Wonho Yang
    Journal of Exposure Science & Environmental Epidemiology.2023; 33(6): 1013.     CrossRef
  • Occurrence and Exposure Assessment of Bisphenol Analogues Through Different Types of Drinking Water in Korea
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    Exposure and Health.2023; 15(1): 185.     CrossRef
  • Occurrence and removal of benzotriazole and benzothiazole in drinking water treatment plants
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    Environmental Pollution.2023; 316: 120563.     CrossRef
  • Assessing Dust Emissions, Health Impacts, and Accident Risks in Prefabricated and Conventional Construction: A Comprehensive Comparative Study
    Louis Kumi, Jaewook Jeong, Jaemin Jeong
    Buildings.2023; 13(9): 2305.     CrossRef
  • Estimation of Children’s Soil and Dust Ingestion Rates and Health Risk at E-Waste Dismantling Area
    Yan Yang, Mengdi Zhang, Haojia Chen, Zenghua Qi, Chengcheng Liu, Qiang Chen, Tao Long
    International Journal of Environmental Research and Public Health.2022; 19(12): 7332.     CrossRef
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    Wenting Wang, Sangmin Park, Byeong-gyu Choi, Jeong-Eun Oh
    SSRN Electronic Journal .2022;[Epub]     CrossRef
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    Environmental Pollution.2021; 268: 115395.     CrossRef
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    Jiwon Kim, Wenting Wang, Soohyung Lee, Ju-Hyun Park, Jeong-Eun Oh
    Environmental Pollution.2021; 288: 117767.     CrossRef
  • Development of General Exposure Factors for Risk Assessment in Korean Children
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    International Journal of Environmental Research and Public Health.2020; 17(6): 1988.     CrossRef
  • Seasonal occurrence and removal of organophosphate esters in conventional and advanced drinking water treatment plants
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    Water Research.2020; 186: 116359.     CrossRef
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    Environmental Engineering Research.2019; 24(4): 654.     CrossRef
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    Eun Chul Pack, Dae Yong Jang, Hyung Soo Kim, Seung Ha Lee, Hae Young Kim, Seok Ho Song, Hoon Sik Cho, Kyeng Hee Kwon, Kun Ho Park, Kyung Min Lim, Dal Woong Choi
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    Science of The Total Environment.2018; 634: 1505.     CrossRef
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    KIEAE Journal.2017; 17(5): 33.     CrossRef
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    Himchan Kim, Hooseung Na, Hyungkeun Kim, Taeyeon Kim
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    International Journal of Environmental Research and Public Health.2016; 13(7): 744.     CrossRef
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    N. Hodas, M. Loh, H.‐M. Shin, D. Li, D. Bennett, T. E. McKone, O. Jolliet, C. J. Weschler, M. Jantunen, P. Lioy, P. Fantke
    Indoor Air.2016; 26(6): 836.     CrossRef
Activity Factors of the Korean Exposure Factors Handbook
Jae-Yeon Jang, Soo-Nam Jo, So-Yeon Kim, Kyung-Eun Lee, Kyung-Ho Choi, Young-Hee Kim
J Prev Med Public Health. 2014;47(1):27-35.   Published online January 29, 2014
DOI: https://doi.org/10.3961/jpmph.2014.47.1.27
  • 9,056 View
  • 100 Download
  • 6 Crossref
AbstractAbstract PDF

Exposure factors based on the Korean population are required for making appropriate risk assessment. It is expected that handbooks for exposure factors will be applied in many fields, as well as by health department risk assessors. The present article describes the development of an exposure factors handbook that specifically focuses on human activities in situations involving the possible risk of exposure to environmental contaminants. We define majour exposure factors that represent behavioral patterns for risk assessment, including time spent on routine activities, in different places, on using transportation, and engaged in activities related to water contact including swimming, bathing and washing. Duration of residence and employment are also defined. National survey data were used to identify recommended levels of exposure factors in terms of time spent on routine activities and period of residence and employment. An online survey was conducted with 2073 subjects who were selected using a stratified random sampling method in order to develop a list of exposure factors for the time spent in different places and in performing water-related activities. We provide the statistical distribution of the variables, and report reference levels of average exposure based on the reliable data in our exposure factors handbook.

Summary

Citations

Citations to this article as recorded by  
  • Updated general exposure factors for risk assessment in the Korean population
    Hyojung Yoon, Jungkwan Seo, Sun-Kyoung Yoo, Pil-Je Kim, Jinhyeon Park, Youngtae Choe, Wonho Yang
    Journal of Exposure Science & Environmental Epidemiology.2023; 33(6): 1013.     CrossRef
  • Exposure parameters and health risk of Cryptosporidium and Giardia in the recreational water activities for urban residents in China
    Chong-Miao Zhang, Peng-Cheng Xu, Wei-Wei Du, Xiaochang C. Wang
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    Injeong Kim, Kwangyul Lee, Sunhong Lee, Sang Don Kim
    Science of The Total Environment.2019; 696: 133890.     CrossRef
  • Exploring Global Exposure Factors Resources for Use in Consumer Exposure Assessments
    Rosemary Zaleski, Peter Egeghy, Pertti Hakkinen
    International Journal of Environmental Research and Public Health.2016; 13(7): 744.     CrossRef
  • Indoor inhalation intake fractions of fine particulate matter: review of influencing factors
    N. Hodas, M. Loh, H.‐M. Shin, D. Li, D. Bennett, T. E. McKone, O. Jolliet, C. J. Weschler, M. Jantunen, P. Lioy, P. Fantke
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Original Article
Deprivation and Mortality at the Town Level in Busan, Korea: An Ecological Study
Min-Hyeok Choi, Kyu-Seok Cheong, Byung-Mann Cho, In-Kyung Hwang, Chang-Hun Kim, Myoung-Hee Kim, Seung-Sik Hwang, Jeong-Hun Lim, Tae-Ho Yoon
J Prev Med Public Health. 2011;44(6):242-248.   Published online November 14, 2011
DOI: https://doi.org/10.3961/jpmph.2011.44.6.242
  • 10,232 View
  • 92 Download
  • 30 Crossref
AbstractAbstract PDF
Objectives

Busan is reported to have the highest mortality rate among 16 provinces in Korea, as well as considerable health inequality across its districts. This study sought to examine overall and cause-specific mortality and deprivation at the town level in Busan, thereby identifying towns and causes of deaths to be targeted for improving overall health and alleviating health inequality.

Methods

Standardized mortality ratios (SMRs) for all-cause and four specific leading causes of death were calculated at the town level in Busan for the years 2005 through 2008. To construct a deprivation index, principal components and factor analysis were adopted, using 10% sample data from the 2005 census. Geographic information system (GIS) mapping techniques were applied to compare spatial distributions between the deprivation index and SMRs. We fitted the Gaussian conditional autoregressive model (CAR) to estimate the relative risks of mortality by deprivation level, controlling for both the heterogeneity effect and spatial autocorrelation.

Results

The SMRs of towns in Busan averaged 100.3, ranging from 70.7 to 139.8. In old inner cities and towns reclaimed for replaced households, the deprivation index and SMRs were relatively high. CAR modeling showed that gaps in SMRs for heart disease, cerebrovascular disease, and physical injury were particularly high.

Conclusions

Our findings indicate that more deprived towns are likely to have higher mortality, in particular from cardiovascular disease and physical injury. To improve overall health status and address health inequality, such deprived towns should be targeted.

Summary

Citations

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JPMPH : Journal of Preventive Medicine and Public Health