Woojoo Lee
Datos Biográficos
| ID | 6162610 |
|---|---|
| NOMBRE | Woojoo Lee |
| NOMBRES | Woojoo |
| APELLIDO | Lee |
| FIRMA | LEE W |
| AFILIACIONES | Seoul National University |
| ORCID | 0000-0001-7447-7045 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 7 |
| TOTAL DE CITAS | 1 |
| TOTAL COMO AUTOR | 7 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2014 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2025 |
| ÍNDICE H | 1 |
Population health impacts of national health insurance coverage for neonatal intensive care unit admission in South Korea
Extending multilevel analysis of individual heterogeneity and discriminatory accuracy to time-to-event outcomes
Background Multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) is a leading quantitative approach for intersectionality-informed health research, but most applications analyse binary or cross-sectional outcomes, ignoring event timing. We applied a multilevel survival (shared frailty) model within the MAIHDA framework to examine intersectional disparities in time-to-diagnosis of hypertension. Methods Using 2019 Kor…
Regional inequalities in excess mortality and its community determinants during the early Covid-19 pandemic in South Korea
BACKGROUND: Excess mortality during the COVID-19 pandemic provides a comprehensive measure of disease burden, and its local variation highlights regional health inequalities. We investigated local excess mortality in 2020 and its determinants at the community level. METHODS: We collected data from 250 districts in South Korea, including monthly all-cause mortality for 2015-2020 and community characteristics from 2019. Excess mortality rate was de…
The importance of investing in data, models, experiments, team science, and public trust to help policymakers prepare for the next pandemic
The COVID-19 pandemic has brought about valuable insights regarding models, data, and experiments. In this narrative review, we summarised the existing literature on these three themes, exploring the challenges of providing forecasts, the requirement for real-time linkage of health-related datasets, and the role of ‘experimentation’ in evaluating interventions. This literature review encourages us to broaden our perspective for the future, acknow…
Evaluation of a technology-enhanced, integrated community health and wellness program for seniors (HWePS)
ISRCTN29103760. Registered 2 September 2021, https://www.isrctn.com/ISRCTN29103760
The Association between Community Water Fluoridation and Bone Diseases
The present study aimed to investigate the association between bone diseases and community water fluoridation (CWF). An ecological study with a natural experiment design was conducted in Cheongju, South Korea, from 1 January 2004 to 31 December 2013. The community water fluoridation program was implemented in Cheongju and divided into CWF and non-CWF areas. To observe adverse health effects related to bone diseases, we conducted a spatio-temporal…
On the Analysis of a Repeated Measure Design in Genome-Wide Association Analysis
Longitudinal data enables detecting the effect of aging/time, and as a repeated measures design is statistically more efficient compared to cross-sectional data if the correlations between repeated measurements are not large. In particular, when genotyping cost is more expensive than phenotyping cost, the collection of longitudinal data can be an efficient strategy for genetic association analysis. However, in spite of these advantages, genome-wi…
Extending multilevel analysis of individual heterogeneity and discriminatory accuracy to time-to-event outcomes
Background Multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) is a leading quantitative approach for intersectionality-informed health research, but most applications analyse binary or cross-sectional outcomes, ignoring event timing. We applied a multilevel survival (shared frailty) model within the MAIHDA framework to examine intersectional disparities in time-to-diagnosis of hypertension. Methods Using 2019 Kor…
On the Analysis of a Repeated Measure Design in Genome-Wide Association Analysis
Longitudinal data enables detecting the effect of aging/time, and as a repeated measures design is statistically more efficient compared to cross-sectional data if the correlations between repeated measurements are not large. In particular, when genotyping cost is more expensive than phenotyping cost, the collection of longitudinal data can be an efficient strategy for genetic association analysis. However, in spite of these advantages, genome-wi…
The Association between Community Water Fluoridation and Bone Diseases
The present study aimed to investigate the association between bone diseases and community water fluoridation (CWF). An ecological study with a natural experiment design was conducted in Cheongju, South Korea, from 1 January 2004 to 31 December 2013. The community water fluoridation program was implemented in Cheongju and divided into CWF and non-CWF areas. To observe adverse health effects related to bone diseases, we conducted a spatio-temporal…
The importance of investing in data, models, experiments, team science, and public trust to help policymakers prepare for the next pandemic
The COVID-19 pandemic has brought about valuable insights regarding models, data, and experiments. In this narrative review, we summarised the existing literature on these three themes, exploring the challenges of providing forecasts, the requirement for real-time linkage of health-related datasets, and the role of ‘experimentation’ in evaluating interventions. This literature review encourages us to broaden our perspective for the future, acknow…
Evaluation of a technology-enhanced, integrated community health and wellness program for seniors (HWePS)
ISRCTN29103760. Registered 2 September 2021, https://www.isrctn.com/ISRCTN29103760
Regional inequalities in excess mortality and its community determinants during the early Covid-19 pandemic in South Korea
BACKGROUND: Excess mortality during the COVID-19 pandemic provides a comprehensive measure of disease burden, and its local variation highlights regional health inequalities. We investigated local excess mortality in 2020 and its determinants at the community level. METHODS: We collected data from 250 districts in South Korea, including monthly all-cause mortality for 2015-2020 and community characteristics from 2019. Excess mortality rate was de…
Population health impacts of national health insurance coverage for neonatal intensive care unit admission in South Korea
Extending multilevel analysis of individual heterogeneity and discriminatory accuracy to time-to-event outcomes
Background Multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) is a leading quantitative approach for intersectionality-informed health research, but most applications analyse binary or cross-sectional outcomes, ignoring event timing. We applied a multilevel survival (shared frailty) model within the MAIHDA framework to examine intersectional disparities in time-to-diagnosis of hypertension. Methods Using 2019 Kor…
Medicine (4 obras) · Health disparities and outcomes (3 obras) · Computer Science (2 obras) · COVID-19 epidemiological studies (2 obras) · Environmental health (2 obras) · Health care (2 obras) · Pandemic (2 obras) · Population (2 obras) · Advanced Causal Inference Techniques (1 obras) · Alternative medicine (1 obras)