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Byul Nim Kim

Showing results (1-10 of 12) with videos related to

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One Health (Amsterdam, Netherlands)|March 26, 2026
Integrating viral kinetics and population spread in a one health framework to explain variant-specific epidemic dynamicsHyosun Lee, Byul Nim Kim, Sunmi Lee
Osong Public Health and Research Perspectives|January 7, 2015
Optimal Implementation of Intervention to Control the Self-harm EpidemicByul Nim Kim, M A Masud, Yongkuk Kim
Osong Public Health and Research Perspectives|November 13, 2014
Optimal implementation of intervention strategies for elderly people with ludomaniaByul Nim Kim, M A Masud, Yongkuk Kim
Journal of Theoretical Biology|July 6, 2010
A model for the transmission dynamics of Orientia tsutsugamushi among its natural reservoirsByul Nim Kim, Luis F Gordillo, Yongkuk Kim
Bio Systems|April 8, 2017
Optimal control problems of mosquito-borne disease subject to changes in feeding behavior of Aedes mosquitoesM A Masud, Byul Nim Kim, Yongkuk Kim
Bulletin of Mathematical Biology|September 10, 2022
Understanding the Role of Environmental Transmission on COVID-19 Herd Immunity and Invasion PotentialM A Masud, Md Hamidul Islam, Byul Nim Kim
Malaria Journal|May 29, 2026
Evaluating the impact of South-North Joint Malaria Control Project on spatiotemporal transmission dynamics in South Korea using dynamic mode decompositionHaram Seo, Byul Nim Kim, Arsen Abdulali, et al.
Epidemics|January 7, 2026
Evaluating mobility restrictions through spatiotemporal effective reproduction number analysis in a multi-patch model with complex mobility dataByul Nim Kim, Minchan Choi, Hyosun Lee, et al.
BMC Infectious Diseases|November 3, 2025
A mobility-adjusted framework for regional R<sub>t</sub> estimation: enhancing spatial interpretation of transmission dynamicsYoung Kim, Junwoo Jo, Byul Nim Kim, et al.
Frontiers in Public Health|July 3, 2025
A novel approach to estimating <math><msub><mrow><mrow><mi>R</mi></mrow></mrow> <mrow><mi>t</mi></mrow></msub></math> through infection networks: understanding regional transmission dynamics of COVID-19Byul Nim Kim, Junwoo Jo, Chunyoung Oh, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
One Health (Amsterdam, Netherlands)|March 26, 2026
Integrating viral kinetics and population spread in a one health framework to explain variant-specific epidemic dynamicsHyosun Lee, Byul Nim Kim, Sunmi Lee
Osong Public Health and Research Perspectives|January 7, 2015
Optimal Implementation of Intervention to Control the Self-harm EpidemicByul Nim Kim, M A Masud, Yongkuk Kim
Osong Public Health and Research Perspectives|November 13, 2014
Optimal implementation of intervention strategies for elderly people with ludomaniaByul Nim Kim, M A Masud, Yongkuk Kim
Journal of Theoretical Biology|July 6, 2010
A model for the transmission dynamics of Orientia tsutsugamushi among its natural reservoirsByul Nim Kim, Luis F Gordillo, Yongkuk Kim
Bio Systems|April 8, 2017
Optimal control problems of mosquito-borne disease subject to changes in feeding behavior of Aedes mosquitoesM A Masud, Byul Nim Kim, Yongkuk Kim
Bulletin of Mathematical Biology|September 10, 2022
Understanding the Role of Environmental Transmission on COVID-19 Herd Immunity and Invasion PotentialM A Masud, Md Hamidul Islam, Byul Nim Kim
Malaria Journal|May 29, 2026
Evaluating the impact of South-North Joint Malaria Control Project on spatiotemporal transmission dynamics in South Korea using dynamic mode decompositionHaram Seo, Byul Nim Kim, Arsen Abdulali, et al.
Epidemics|January 7, 2026
Evaluating mobility restrictions through spatiotemporal effective reproduction number analysis in a multi-patch model with complex mobility dataByul Nim Kim, Minchan Choi, Hyosun Lee, et al.
BMC Infectious Diseases|November 3, 2025
A mobility-adjusted framework for regional R<sub>t</sub> estimation: enhancing spatial interpretation of transmission dynamicsYoung Kim, Junwoo Jo, Byul Nim Kim, et al.
Frontiers in Public Health|July 3, 2025
A novel approach to estimating <math><msub><mrow><mrow><mi>R</mi></mrow></mrow> <mrow><mi>t</mi></mrow></msub></math> through infection networks: understanding regional transmission dynamics of COVID-19Byul Nim Kim, Junwoo Jo, Chunyoung Oh, et al.
Pageof 2