Shaolong REN | Resume

subtitle

作者

slren@njmu.edu.cn,School of Public Health, Nanjing Medical University

Education

Ph.D. in Epidemiology, Fudan University, Shanghai, China
2019 – 2024 (MSc-PhD integrated program)

B.Sc. in Preventive Medicine, Fudan University, Shanghai, China
2014 – 2019

Research Interests

  • Respiratory syncytial virus(RSV): disease burden, seasonality, and immunization strategies

  • Infectious disease epidemiology and mathematical modeling

  • Causal inference methods in observational epidemiologic studies

Research Experience

  • Postdoctoral Researcher Nanjing Medical University, Nanjing, China 2024 – Present
    • Leading a comparative modelling study on regional disparities in infant RSV burden under expanded passive immunisation (2019–2026)

Publications

  1. Ren S, Shi T, Shan W, et al. (2022). Hospitalization rate of RSV-associated acute lower respiratory infection among young children in Suzhou, China, 2010–2014. Influenza Other Respir Viruses, 16(4):789–799. PMID: 34989118

  2. Ren S, Chen Q, Zhang Y, et al. (2024). Modeling the optimal seasonal monoclonal antibody administration strategy for RSV prevention. Vaccine, 42(2):352–361. PMID: 38057209

  3. Lu Y, Ren S, Shao X, et al. (2025). Association of temperature and humidity with RSV infection: A time-series analysis. GeoHealth, 9(5):e2025GH001353. PMID: 40400772

  4. Lu Y, Chen Q, Ren S, et al. (2024). Impact of COVID-19 NPIs on RSV infections in children. Influenza Other Respir Viruses, 18(4):e13291. PMID: 38653953

  5. Shen S, Ren S, Chen L, et al. (2022). Rotavirus infection in children under 5 in Suzhou, China. Pediatr Infect Dis J, 41(5):375–380. PMID: 35067641

  6. Wen B, Yang Z, Ren S, et al. (2024). Spatial-temporal patterns of hemorrhagic fever with renal syndrome in China. One Health, 18:100725. PMID: 38623497

Awards

  • First Place (Graduate Student Category) for APRU Global Health Student Poster Contest 2023

  • Second Award, 10th Kylin Cup” National Open-source Software Development Contest, 2021

  • Second Award, “Shared Cup” Innovation Competition on Population Health, 2018

Skills

  • Programming: R (tidyverse, ggplot2, shiny, etc.), Python, Javascript
  • Data Analysis: Medical statistics, data visualization, Shiny app development

Contact