Summary
Overview
Work History
Education
Websites
Publications
Timeline
Generic

HYOLIM KANG

Research Fellow / PhD Candidate
Seoul

Summary

Mathematical modeller in infectious diseases with specialisation in vaccine impact modelling for chikungunya; skilled in R and Stan; experienced in generating evidence to support vaccine policy decisions in collaboration with stakeholders.

Overview

5
5
years of professional experience

Work History

Research Fellow

Nagasaki University, Institute of Tropical Medicine
04.2024 - Current
  • Conducting chikungunya vaccine impact modelling within the Strategic Center of Biomedical Advanced Vaccine Research and Development for Preparedness and Response (SCARDA)
  • Delivered lectures on Vaccine and Climate Change and Vaccine Impact Modelling in the Vaccinology Short Course

Researcher

Seoul National University of Medicine School
10.2022 - 03.2023
  • Modelling TB financing gaps for national strategy (Korea – NTBA funded)

Researcher

International Vaccine Institute (IVI)
04.2021 - 09.2022
  • Policy and Economics Research (PER) Department
  • Conducted research on Colleague Vaccine in India (with US CDC)
  • HPV vaccine economic modelling (BMGF funded)
  • External Quality Assessment (EQA) costing and forecasting analysis

Health Policy Researcher, Department of Health Care Policy Research

Korea Institute for Health and Social Affairs (KIHASA)
06.2020 - 03.2021
  • COVID-19 mask strategy and response evaluation (Korea Ministry of Health)
  • International chronic disease care comparison (Stanford University collaboration)

Education

PhD - Department of Infectious Disease Epidemiology and Dynamics

LSHTM
02.2026

MSc Health Policy Planning And Financing -

LSE & LSHTM
09.2019

Bachelor of Economics - undefined

Sogang University
02.2017

Publications

  • 1. Kang H, Auzenbergs M, Clapham H, Maure C, Kim JH, Salje H, Taylor CG, Lim A, Clark A, Edmunds WJ, Sahastrabuddhe S, Brady OJ, Abbas K. Chikungunya seroprevalence, force of infection, and prevalence of chronic disability after infection in endemic and epidemic settings: a systematic review, meta-analysis, and modelling study. Lancet Infect Dis. 2024 May;24(5):488-503. https://doi.org/10.1016/s1473-3099(23)00810-1
  • 2. Kang H, Lim A, Auzenbergs M, Clark AD, Colón-González FJ, Salje H, Clapham HE, Carrera JP, Kim JH, Malarski M, Vergès SL, Cucunuba Z, Silva TC, Edmunds WJ, Sahastrabuddhe S, Brady O, Abbas K. Global, regional, and national Chikungunya burden and mapping force of infection: a spatial modelling study. 2024. SSRN (preprint). http://dx.doi.org/10.2139/ssrn.5048710 (Accepted in BMJ Global Health, in press)
  • 3. Kang H, Lim A, Clark AD, Colón-González FJ, Clapham HE, Carrera JP, Kim JH, Auzenbergs M, Preethi L, Vergès SL, Sim SY, Han SM, Silva TC, Endy T, Cucunuba Z, Edmunds WJ, Sahastrabuddhe S, Brady O, Abbas K. Modelling age-specific chikungunya outbreak response immunisation strategies in Brazil: Broader implications for vaccine use case scenarios. SSRN. 2025. https://doi.org/10.2139/ssrn.5386779 (Under review in eClinicalMedicine)
  • 4. Maure C, Khazhidinov N, Kang H, Auzenbergs M, Moyerson P, Abbas K, Santos GML, Medina LMH, Wartel TA, Kim JH, Clemens J, Sahastrabuddhe S. Chikungunya vaccine development, challenges, and pathway toward public health impact. Vaccine. 2024;42(26):126483. https://doi.org/10.1016/j.vaccine.2024.126483 (Corresponding author)
  • 5. Auzenbergs M, Maure C, Kang H, Clark A, Brady O, Sahastrabuddhe S, Abbas K. Programmatic considerations and evidence gaps for chikungunya vaccine introduction in countries at risk of chikungunya outbreaks: Stakeholder analysis. PLoS Negl Trop Dis. 2024;18(4):e0012075. https://doi.org/10.1371/journal.pntd.0012075
  • 6. Lim, A., Shearer, F.M., Sewalk, K., Pigott, D.M., Clarke, J., Ghouse, A., Judge, C., Kang, H., Messina, J.P., Kraemer, M.U. and Gaythorpe, K.A., 2025. The overlapping global distribution of dengue, chikungunya, Zika and yellow fever. Nature Communications, 16(1), p.3418. https://doi.org/10.1038/s41467-025-58609-5
  • 7. Shankar M, Hartner AM, Arnold CRK, Gayawan E, Kang H, Kim JH, Gilani GN, Cori A, Fu H, Jit M, Muloiwa R, Portnoy A, Trotter C, Gaythorpe KAM. How mathematical modelling can inform outbreak response vaccination. BMC Infect Dis. 2024 Dec 1;24(1):1371. https://doi.org/10.1186/s12879-024-10243-0
  • 8. Kim, S., Kang, H., Skrip, L., Sahastrabuddhe, S., Islam, A., Jung, S.M., Vesga, J.F., Endo, A., Edmunds, W.J. and Abbas, K., 2025. Progress and challenges in Nipah vaccine development and licensure for epidemic preparedness and response. Expert review of vaccines, 24(1), pp.183-193. https://doi.org/10.1080/14760584.2025.2476523

Timeline

Research Fellow

Nagasaki University, Institute of Tropical Medicine
04.2024 - Current

Researcher

Seoul National University of Medicine School
10.2022 - 03.2023

Researcher

International Vaccine Institute (IVI)
04.2021 - 09.2022

Health Policy Researcher, Department of Health Care Policy Research

Korea Institute for Health and Social Affairs (KIHASA)
06.2020 - 03.2021

Bachelor of Economics - undefined

Sogang University

PhD - Department of Infectious Disease Epidemiology and Dynamics

LSHTM

MSc Health Policy Planning And Financing -

LSE & LSHTM
HYOLIM KANGResearch Fellow / PhD Candidate