Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Hwa Kyung Lim"'
Publikováno v:
PLoS ONE, Vol 15, Iss 12, p e0244380 (2020)
According to the most recent annual report released by Korea Statistics, the life expectancy at birth (for both sexes) in 2018 was 82.7 years, an increase of 0.0 years over 2017, reflecting the first stagnation in life expectancy since 1960. In this
Externí odkaz:
https://doaj.org/article/1c2f122ec29443f4a70ac8b34cb11944
Publikováno v:
Population Health Metrics, Vol 18, Iss 1, Pp 1-14 (2020)
Abstract Background This study aimed to compare three small-area level mortality metrics according to urbanity in Korea: the standardized mortality ratio (SMR), comparative mortality figure (CMF), and life expectancy (LE) by urbanity. Methods We util
Externí odkaz:
https://doaj.org/article/f68916998da4479b8750ff82fdfe5ffb
Background: The coronavirus disease 2019 (COVID-19) pandemic has caused an unprecedented burden on healthcare systems. To effectively triage COVID-19 patients within situations of limited data availability and to explore optimal thresholds to minimiz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::935fe693af0643312a14ac333064a015
https://doi.org/10.21203/rs.3.rs-648718/v1
https://doi.org/10.21203/rs.3.rs-648718/v1
Publikováno v:
Yonsei Medical Journal
Purpose In May 2015, South Korea experienced an epidemic of Middle East respiratory syndrome (MERS). This study investigated the impacts of MERS epidemic on emergency care utilization and mortality in South Korea. Materials and methods A natural expe
Autor:
Hwa Kyung Lim, Young-Ho Khang
Publikováno v:
International Journal of Public Health. 64:585-594
We quantified the impact of reducing socioeconomic inequalities in risk factors on mortality and mortality inequalities in South Korea. The mortality risk function from the 12-year mortality follow-up data of the National Health Insurance Service-Nat
Publikováno v:
Journal of Korean Medical Science
Background Health indicators, such as mortality rates or life expectancy, need to be presented at the local level to improve the health of local residents and to reduce health inequality across geographic areas. The aim of this study was to estimate
Publikováno v:
International Journal of Environmental Research and Public Health
Social Inequalities and Health Disparities Due to Race, Ethnicity, and Economic Status
Volume 17
Issue 12
International Journal of Environmental Research and Public Health, Vol 17, Iss 4504, p 4504 (2020)
Social Inequalities and Health Disparities Due to Race, Ethnicity, and Economic Status
Volume 17
Issue 12
International Journal of Environmental Research and Public Health, Vol 17, Iss 4504, p 4504 (2020)
While numerous comparative works on the magnitude of health inequalities in Europe have been conducted, there is a paucity of research that encompasses non-European nations such as Asian countries. This study was conducted to compare Europe and Korea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17fa614ab7709dcd4844bead60000d84
https://www.ssoar.info/ssoar/handle/document/73521
https://www.ssoar.info/ssoar/handle/document/73521
Additional file 1: Figure S1. Age distribution and age-specific mortality ratios by urbanity with the standard population: findings from the National Health Information Database of Korea, 2013–2017. Figure S2. Scatter plots and correlation coeffici
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::214ab2c7e28e83290725771818534563
Publikováno v:
Population Health Metrics
Population Health Metrics, Vol 18, Iss 1, Pp 1-14 (2020)
Population Health Metrics, Vol 18, Iss 1, Pp 1-14 (2020)
Background: This study aimed to compare three small-area level mortality metrics according to urbanity in Korea: the standardized mortality ratio (SMR), comparative mortality figure (CMF), and life expectancy (LE) by urbanity.Methods: We utilized the
Publikováno v:
JMIR Medical Informatics
Background The COVID-19 pandemic has placed an unprecedented burden on health care systems. Objective We aimed to effectively triage COVID-19 patients within situations of limited data availability and explore optimal thresholds to minimize mortality