참여 과제 및 활동

• 2020.07 ~ 2021.04 : 서울시 재난의료협의체 조사감시반. 서울시

• 2020.10 ~ 2021.10 : 이동통신 빅데이터 기반 시공간 전염병 시뮬레이션을 통한 스마트도시 방역모델 개발. 서울기술연구원

• 2022.01 ~ 2022.04 : 코로나19 핵심 지표 산출 체계 국제 비교 및 활용도 제고 방안 연구. 질병관리청.

• 2023.01 ~ 2023.03 : 코로나 19 방역에서 접촉추적격리 정책 국제비교 및 활용도 제고 연구. 질병관리청

Lab 주도 연구

• Reaction to the COVID-19 pandemic in Seoul with biostatistics (Jung et al, Infectious Disease Modeling, 2022, 7(3), 419-429)

• A modified SEIR Model for assessing the effectiveness of non-pharmaceutical interventions during the COVID-19 pandemic in Seoul
  (Jung et al,  Journal of Theoretical Biology, 2023, 557, 111329)

• Partially privacy-protected logistic regression with $L_1$ penalty and sign constraint (Kim et al, Submitted)

• Developing a novel statistical method for assessing COVID-19 vaccine safety (Ongoing)

협업 연구

• Epidemiological and spatio-temporal characteristics of COVID-19 in Rwanda (Benimana et al, 2021. Global Epidemiology, 3, 1000058)

• The importance of investing in data, models, experiments, team science, and public trust to help policymakers prepare for the next pandemic (Grieve et al, 2023, PLOS global public health, 3(11), e0002601)

• Comparing International Computing Systems of COVID-19 Core Indicators and Measures to Improve Usability ( Lee et al, 2023, Public Health and Weekly Report, 16(29), 982-991)

• Comparative Analysis of International Coronavirus Disease 2019 Contact-Tracing, Isolation, and Quarantine (TIQ) Policies and Simulation of Policy Effects

      ( Lee et al, 2024, Public Health and Weekly Report, 17(30), 1276-1284)

• Associations of water, sanitation, and hygiene with typhoid fever in case–control studies: a systematic review and meta-analysis

( Kim et al, 2023, BMC infectious diseases 23 (1), 562)