Ongoing

• Yoonah Kang†, Jeonghwa Seo, Daeyeong Kwak, Yongin Choi, Kyusoon Kim* and Hyojung Lee*, Mobility-Informed Network ARIMA for Regional Infectious Disease Forecasting

• Yoonah Kang†, Jihyeon Kim, Yongin Choi, Hyojung Lee*, A Stochastic Latent-State Modeling for Influenza
  transmission dynamics Using Wastewater Surveillance Data

• Yoonah Kang†, Jeonghwa Seo, Minju Ryu, Yongin Choi, Giphil Cho* and Hyojung Lee*, Regional Heterogeneity in the Drivers of Malaria Incidence: A Machine Learning Approach

Submitted

• Yoonah Kang†, Yeonsu Lee, Changdae Son, Wasim Abbas, Jaehoon Kim, Yongin Choi*, and Hyojung Lee*, Quantifying Variant-Specific Transmissibility and Forecasting Recurrent Summer COVID-19 Outbreaks: An Age-Structured Modeling Study in Korea, Advances in Continuous and Discrete Models, 2026

Published

• Wasim Abbas† , Sieun Lee, Yoonah Kang, Dessie Amare Tezera, Sajida Parveen, Sunmi Lee, Hyojung Lee*, Sangil Kim* , Targeted interventions for tuberculosis elimination in the Republic of Korea’s aging population: clinical impact of latent TB reactivation. Advances in Continuous and Discrete Models, 2026. Paper