Sunmi Lee
Dados Biográficos
| ID | 3863585 |
|---|---|
| NOME | Sunmi Lee |
| PRENOMES | Sunmi |
| SOBRENOME | Lee |
| ASSINATURA | LEE S |
| AFILIAÇÕES | Kyung Hee University |
| ORCID | 0000-0003-1126-0660 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 25 |
| TOTAL DE CITAÇÕES | 9 |
| TOTAL COMO AUTOR | 25 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2010 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 2 |
Covid-19 transmission dynamics
Analyzing age-specific infection networks is vital for clarifying transmission patterns and susceptibility across different age groups. Our study provides valuable evidence for identifying vulnerable populations and key cohorts that drive dissemination within the infection network. These insights can directly inform policy formulation, particularly in prioritizing vaccination strategies and tailoring age-targeted prevention measures. More broadly…
A novel approach to estimating Rt through infection networks
Introduction The effective reproduction number ( R t ) is a key indicator for monitoring and controlling infectious diseases such as COVID-19, where transmission patterns can differ substantially across demographics, regions, and phases of the pandemic. In this study, we propose a novel, network-based approach to empirically estimate R t using detailed transmission data from South Korea. By reconstructing infector–infectee pairs, our method incor…
Cohort profile
The KNHEB cohort provides a large-scale, population-based dataset that supports comprehensive analyses of the long-term effects of modifiable risk factors on NCDs. Its findings contribute to evidence-based policymaking in South Korea and offer comparative insights for global research on chronic disease prevention and risk factor management. Furthermore, its standardized data collection and integration with health records facilitate cross-country …
Variability in the serial interval of Covid-19 in South Korea
Introduction: Quantifying the transmissibility over time, particularly by region and age, using parameters such as serial interval and time-varying reproduction number, helps in formulating targeted interventions. Moreover, considering the impact of geographical factors on transmission provides valuable insights into the effectiveness of control measures. Methods: Drawing on a comprehensive dataset of COVID-19 cases in South Korea, we analyzed tr…
Uncovering Covid-19 transmission tree
Introduction: This paper presents a comprehensive analysis of COVID-19 transmission dynamics using an infection network derived from epidemiological data in South Korea, covering the period from January 3, 2020, to July 11, 2021. The network illustrates infector-infectee relationships and provides invaluable insights for managing and mitigating the spread of the disease. However, significant missing data hinder conventional analysis of such netwo…
The effectiveness of intervention measures on Mers-CoV transmission by using the contact networks reconstructed from link prediction data
Introduction: Mitigating the spread of infectious diseases is of paramount concern for societal safety, necessitating the development of effective intervention measures. Epidemic simulation is widely used to evaluate the efficacy of such measures, but realistic simulation environments are crucial for meaningful insights. Despite the common use of contact-tracing data to construct realistic networks, they have inherent limitations. This study expl…
Short- and long-term neuropsychiatric outcomes in long Covid in South Korea and Japan
Improved time-varying reproduction numbers using the generation interval for Covid-19
Estimating key epidemiological parameters, such as incubation period, serial interval (SI), generation interval (GI) and latent period, is essential to quantify the transmissibility and effects of various interventions of COVID-19. These key parameters play a critical role in quantifying the basic reproduction number. With the hard work of epidemiological investigators in South Korea, estimating these key parameters has become possible based on i…
Age-specific risk factors for the prediction of obesity using a machine learning approach
Machine Learning is a powerful tool to discover hidden information and relationships in various data-driven research fields. Obesity is an extremely complex topic, involving biological, physiological, psychological, and environmental factors. One successful approach to the topic is machine learning frameworks, which can reveal complex and essential risk factors of obesity. Over the last two decades, the obese population (BMI of above 23) in Korea…
Influences of Momentum Ratio on Transverse Dispersion for Intermediate-Field Mixing Downstream of Channel Confluence
This study aims to analyze the influences of momentum ratio ( M r ) and confluence angle ( α ) on the transverse dispersion in an urban scale confluence channel from the numerical simulation results using the Environmental Fluid Dynamics Code model. By changing the momentum flux and confluence angle from the simulation results, the analysis focused on the relations between the vertical variations of transverse velocity and transverse dispersion. …
Do Weight Changes Affect the Association between Smoking Cessation and the Risk of Stroke Subtypes in Korean Males
(1) Background: We investigated whether weight changes affect the association between smoking cessation and stroke risk; (2) Methods: Overall, 719,040 males were categorized into eight groups according to smoking status (sustained smokers, non-smokers, long-term quitters (quit > 4 years), and recent quitters (quit 5.0 kg). The hazard ratios (HR) and 95% confidence intervals (CI) for incident total, ischemic, and hemorrhagic strokes, including sub…
Booster Vaccination Strategies for “Living With Covid-19”
Although the primary and secondary vaccination rates in Korea account for over 75% of the total population, confirmed cases of COVID-19 are dramatically increasing due to immune waning and the Omicron variant. Therefore, it is urgent to evaluate the effectiveness of booster vaccination strategies for living with COVID-19. In this work, we have developed an age-specific mathematical model with eight age groups and included age-specific comorbiditi…
ShoutYourAbortion on Instagram
The goal of the current study was to explore the visual representation of #ShoutYourAbortion hashtag movement on Instagram. The photos’ content and embedded texts in the photos were examined. And the photos were clustered using k-means clustering algorithm, and the resulting clustered were compared using the same criteria above. Photo features which shows the content- and pixel-level characteristics were extracted and used for comparison between …
Evolution of Responses to Covid-19 and Epidemiological Characteristics in South Korea
The characteristics of COVID-19 have evolved at an accelerated rate over the last two years since the first SARS-CoV-2 case was discovered in December 2019. This evolution is due to the complex interplay among virus, humans, vaccines, and environments, which makes the elucidation of the clinical and epidemiological characteristics of COVID-19 essential to assess ongoing policy responses. In this study, we carry out an extensive retrospective anal…
Personality of Public Health Organizations’ Instagram Accounts and According Differences in Photos at Content and Pixel Levels
Organizations maintain social media accounts and upload posts to show their activities and communicate with the public, as individual users do. Thus, organizations' social media accounts can be examined from the same perspective of that of individual users' accounts, with personality being one of the perspectives. In line with previous studies that analyzed the personality of non-human objects such as products, stores, brands, and websites, this …
Effectiveness of Intervention Strategies on Mers-CoV Transmission Dynamics in South Korea, 2015
The MERS-CoV spread in South Korea in 2015 was not only the largest outbreak of MERS-CoV in the region other than the Middle East but also a historic epidemic in South Korea. Thus, investigation of the MERS-CoV transmission dynamics, especially by agent-based modeling, would be meaningful for devising intervention strategies for novel infectious diseases. In this study, an agent-based model on MERS-CoV transmission in South Korea in 2015 was buil…
Analysis of Superspreading Potential from Transmission Clusters of Covid-19 in South Korea
The COVID-19 pandemic has been spreading worldwide with more than 246 million confirmed cases and 5 million deaths across more than 200 countries as of October 2021. There have been multiple disease clusters, and transmission in South Korea continues. We aim to analyze COVID-19 clusters in Seoul from 4 March to 4 December 2020. A branching process model is employed to investigate the strength and heterogeneity of cluster-induced transmissions. We…
Exploration of Superspreading Events in 2015 Mers-CoV Outbreak in Korea by Branching Process Models
South Korea has learned a valuable lesson from the Middle East respiratory syndrome (MERS) coronavirus outbreak in 2015. The 2015 MERS-CoV outbreak in Korea was the largest outbreak outside the Middle Eastern countries and was characterized as a nosocomial infection and a superspreading event. To assess the characteristics of a super spreading event, we specifically analyze the behaviors and epidemiological features of superspreaders. Furthermore…
The Role of Vertical Transmission in the Control of Dengue Fever
In this work, a two-strain dengue model with vertical transmission in the mosquito population is considered. Although vertical transmission is often ignored in models of dengue fever, we show that effective control of an outbreak of dengue can depend on whether or not the vertical transmission is a significant mode of disease transmission. We model the effect of a control strategy aimed at reducing human-mosquito transmissions in an optimal contr…
Agent-Based Modeling for Super-Spreading Events
Super-spreading events have been observed in the transmission dynamics of many infectious diseases. The 2015 MERS-CoV outbreak in the Republic of Korea has also shown super-spreading events with a significantly high level of heterogeneity in generating secondary cases. It becomes critical to understand the mechanism for this high level of heterogeneity to develop effective intervention strategies and preventive plans for future emerging infectiou…
Systemic inflammation and suicide risk
BACKGROUND: Data from only one study have been used to examine the relationship between systemic inflammation and later suicide risk, and a strong positive association was apparent. More research is needed, particularly looking at gender, not least because women are seemingly more vulnerable to inflammation-induced mood changes than men. METHODS: The Korean Cancer Prevention Study had a cohort of over 1 million individuals aged 30-95 years at bas…
Modifying effects of education on the association between lifestyle behaviors and the risk of obesity
Education may be a risk factor for obesity through its interplay with lifestyle behaviors. Further research is required to examine these findings in different socio-cultural settings
Actualizing children’s participation in the development of outdoor play areas at an early childhood institution
This study examined how children’s participation can be actualized, and their perspectives respected, through an action research project that engaged them in the development of an outdoor play area in a child care center in South Korea. An educator devised a broad plan and invited children to participate and take the initiative in leading the project. Young children were capable of expressing their points of view and could contribute directly to …
Why is high-risk drinking more prevalent among men than women? evidence from South Korea
We came to a finding that gender-specific HRD tendency is the greatest contributor to gender differences in HRD. Therefore, to effective reduce HRD, it will be necessary to understand gender differences in socioeconomic characteristics between men and women but also take notice of such differences in sociocultural settings as they experience. And it will be also required to prepare any gender-differentiated intervention strategy for men and women
Factors influencing gender differences in smoking and their separate contributions
Actualizing children’s participation in the development of outdoor play areas at an early childhood institution
This study examined how children’s participation can be actualized, and their perspectives respected, through an action research project that engaged them in the development of an outdoor play area in a child care center in South Korea. An educator devised a broad plan and invited children to participate and take the initiative in leading the project. Young children were capable of expressing their points of view and could contribute directly to …
Factors influencing gender differences in smoking and their separate contributions
Systemic inflammation and suicide risk
BACKGROUND: Data from only one study have been used to examine the relationship between systemic inflammation and later suicide risk, and a strong positive association was apparent. More research is needed, particularly looking at gender, not least because women are seemingly more vulnerable to inflammation-induced mood changes than men. METHODS: The Korean Cancer Prevention Study had a cohort of over 1 million individuals aged 30-95 years at bas…
Factors influencing gender differences in smoking and their separate contributions
Why is high-risk drinking more prevalent among men than women? evidence from South Korea
We came to a finding that gender-specific HRD tendency is the greatest contributor to gender differences in HRD. Therefore, to effective reduce HRD, it will be necessary to understand gender differences in socioeconomic characteristics between men and women but also take notice of such differences in sociocultural settings as they experience. And it will be also required to prepare any gender-differentiated intervention strategy for men and women
Actualizing children’s participation in the development of outdoor play areas at an early childhood institution
This study examined how children’s participation can be actualized, and their perspectives respected, through an action research project that engaged them in the development of an outdoor play area in a child care center in South Korea. An educator devised a broad plan and invited children to participate and take the initiative in leading the project. Young children were capable of expressing their points of view and could contribute directly to …
Modifying effects of education on the association between lifestyle behaviors and the risk of obesity
Education may be a risk factor for obesity through its interplay with lifestyle behaviors. Further research is required to examine these findings in different socio-cultural settings
Agent-Based Modeling for Super-Spreading Events
Super-spreading events have been observed in the transmission dynamics of many infectious diseases. The 2015 MERS-CoV outbreak in the Republic of Korea has also shown super-spreading events with a significantly high level of heterogeneity in generating secondary cases. It becomes critical to understand the mechanism for this high level of heterogeneity to develop effective intervention strategies and preventive plans for future emerging infectiou…
Systemic inflammation and suicide risk
BACKGROUND: Data from only one study have been used to examine the relationship between systemic inflammation and later suicide risk, and a strong positive association was apparent. More research is needed, particularly looking at gender, not least because women are seemingly more vulnerable to inflammation-induced mood changes than men. METHODS: The Korean Cancer Prevention Study had a cohort of over 1 million individuals aged 30-95 years at bas…
The Role of Vertical Transmission in the Control of Dengue Fever
In this work, a two-strain dengue model with vertical transmission in the mosquito population is considered. Although vertical transmission is often ignored in models of dengue fever, we show that effective control of an outbreak of dengue can depend on whether or not the vertical transmission is a significant mode of disease transmission. We model the effect of a control strategy aimed at reducing human-mosquito transmissions in an optimal contr…
Exploration of Superspreading Events in 2015 Mers-CoV Outbreak in Korea by Branching Process Models
South Korea has learned a valuable lesson from the Middle East respiratory syndrome (MERS) coronavirus outbreak in 2015. The 2015 MERS-CoV outbreak in Korea was the largest outbreak outside the Middle Eastern countries and was characterized as a nosocomial infection and a superspreading event. To assess the characteristics of a super spreading event, we specifically analyze the behaviors and epidemiological features of superspreaders. Furthermore…
Personality of Public Health Organizations’ Instagram Accounts and According Differences in Photos at Content and Pixel Levels
Organizations maintain social media accounts and upload posts to show their activities and communicate with the public, as individual users do. Thus, organizations' social media accounts can be examined from the same perspective of that of individual users' accounts, with personality being one of the perspectives. In line with previous studies that analyzed the personality of non-human objects such as products, stores, brands, and websites, this …
Effectiveness of Intervention Strategies on Mers-CoV Transmission Dynamics in South Korea, 2015
The MERS-CoV spread in South Korea in 2015 was not only the largest outbreak of MERS-CoV in the region other than the Middle East but also a historic epidemic in South Korea. Thus, investigation of the MERS-CoV transmission dynamics, especially by agent-based modeling, would be meaningful for devising intervention strategies for novel infectious diseases. In this study, an agent-based model on MERS-CoV transmission in South Korea in 2015 was buil…
Analysis of Superspreading Potential from Transmission Clusters of Covid-19 in South Korea
The COVID-19 pandemic has been spreading worldwide with more than 246 million confirmed cases and 5 million deaths across more than 200 countries as of October 2021. There have been multiple disease clusters, and transmission in South Korea continues. We aim to analyze COVID-19 clusters in Seoul from 4 March to 4 December 2020. A branching process model is employed to investigate the strength and heterogeneity of cluster-induced transmissions. We…
Booster Vaccination Strategies for “Living With Covid-19”
Although the primary and secondary vaccination rates in Korea account for over 75% of the total population, confirmed cases of COVID-19 are dramatically increasing due to immune waning and the Omicron variant. Therefore, it is urgent to evaluate the effectiveness of booster vaccination strategies for living with COVID-19. In this work, we have developed an age-specific mathematical model with eight age groups and included age-specific comorbiditi…
ShoutYourAbortion on Instagram
The goal of the current study was to explore the visual representation of #ShoutYourAbortion hashtag movement on Instagram. The photos’ content and embedded texts in the photos were examined. And the photos were clustered using k-means clustering algorithm, and the resulting clustered were compared using the same criteria above. Photo features which shows the content- and pixel-level characteristics were extracted and used for comparison between …
Evolution of Responses to Covid-19 and Epidemiological Characteristics in South Korea
The characteristics of COVID-19 have evolved at an accelerated rate over the last two years since the first SARS-CoV-2 case was discovered in December 2019. This evolution is due to the complex interplay among virus, humans, vaccines, and environments, which makes the elucidation of the clinical and epidemiological characteristics of COVID-19 essential to assess ongoing policy responses. In this study, we carry out an extensive retrospective anal…
Improved time-varying reproduction numbers using the generation interval for Covid-19
Estimating key epidemiological parameters, such as incubation period, serial interval (SI), generation interval (GI) and latent period, is essential to quantify the transmissibility and effects of various interventions of COVID-19. These key parameters play a critical role in quantifying the basic reproduction number. With the hard work of epidemiological investigators in South Korea, estimating these key parameters has become possible based on i…
Age-specific risk factors for the prediction of obesity using a machine learning approach
Machine Learning is a powerful tool to discover hidden information and relationships in various data-driven research fields. Obesity is an extremely complex topic, involving biological, physiological, psychological, and environmental factors. One successful approach to the topic is machine learning frameworks, which can reveal complex and essential risk factors of obesity. Over the last two decades, the obese population (BMI of above 23) in Korea…
Influences of Momentum Ratio on Transverse Dispersion for Intermediate-Field Mixing Downstream of Channel Confluence
This study aims to analyze the influences of momentum ratio ( M r ) and confluence angle ( α ) on the transverse dispersion in an urban scale confluence channel from the numerical simulation results using the Environmental Fluid Dynamics Code model. By changing the momentum flux and confluence angle from the simulation results, the analysis focused on the relations between the vertical variations of transverse velocity and transverse dispersion. …
Do Weight Changes Affect the Association between Smoking Cessation and the Risk of Stroke Subtypes in Korean Males
(1) Background: We investigated whether weight changes affect the association between smoking cessation and stroke risk; (2) Methods: Overall, 719,040 males were categorized into eight groups according to smoking status (sustained smokers, non-smokers, long-term quitters (quit > 4 years), and recent quitters (quit 5.0 kg). The hazard ratios (HR) and 95% confidence intervals (CI) for incident total, ischemic, and hemorrhagic strokes, including sub…
Variability in the serial interval of Covid-19 in South Korea
Introduction: Quantifying the transmissibility over time, particularly by region and age, using parameters such as serial interval and time-varying reproduction number, helps in formulating targeted interventions. Moreover, considering the impact of geographical factors on transmission provides valuable insights into the effectiveness of control measures. Methods: Drawing on a comprehensive dataset of COVID-19 cases in South Korea, we analyzed tr…
Uncovering Covid-19 transmission tree
Introduction: This paper presents a comprehensive analysis of COVID-19 transmission dynamics using an infection network derived from epidemiological data in South Korea, covering the period from January 3, 2020, to July 11, 2021. The network illustrates infector-infectee relationships and provides invaluable insights for managing and mitigating the spread of the disease. However, significant missing data hinder conventional analysis of such netwo…
The effectiveness of intervention measures on Mers-CoV transmission by using the contact networks reconstructed from link prediction data
Introduction: Mitigating the spread of infectious diseases is of paramount concern for societal safety, necessitating the development of effective intervention measures. Epidemic simulation is widely used to evaluate the efficacy of such measures, but realistic simulation environments are crucial for meaningful insights. Despite the common use of contact-tracing data to construct realistic networks, they have inherent limitations. This study expl…
Short- and long-term neuropsychiatric outcomes in long Covid in South Korea and Japan
A novel approach to estimating Rt through infection networks
Introduction The effective reproduction number ( R t ) is a key indicator for monitoring and controlling infectious diseases such as COVID-19, where transmission patterns can differ substantially across demographics, regions, and phases of the pandemic. In this study, we propose a novel, network-based approach to empirically estimate R t using detailed transmission data from South Korea. By reconstructing infector–infectee pairs, our method incor…
Cohort profile
The KNHEB cohort provides a large-scale, population-based dataset that supports comprehensive analyses of the long-term effects of modifiable risk factors on NCDs. Its findings contribute to evidence-based policymaking in South Korea and offer comparative insights for global research on chronic disease prevention and risk factor management. Furthermore, its standardized data collection and integration with health records facilitate cross-country …
Covid-19 transmission dynamics
Analyzing age-specific infection networks is vital for clarifying transmission patterns and susceptibility across different age groups. Our study provides valuable evidence for identifying vulnerable populations and key cohorts that drive dissemination within the infection network. These insights can directly inform policy formulation, particularly in prioritizing vaccination strategies and tailoring age-targeted prevention measures. More broadly…
Medicine (21 obras) · COVID-19 epidemiological studies (12 obras) · Computer Science (11 obras) · Disease (10 obras) · Virology (10 obras) · Environmental health (9 obras) · Demography (8 obras) · Outbreak (8 obras) · Demography (7 obras) · Population (7 obras)