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Dr Shengjie Lai BMed, MMed, PhD

Senior Research Fellow

Lai is interested in human mobility, environmental changes, and infectious disease dynamics over space and time.

I am particularly interested in investigating the spatiotemporal interaction between population movements, environmental changes and disease dynamics to provide an improved evidence-base for sustainable development and disease control decision-making.

Qualifications

Ph.D. of Geography (2015–2018): Spatiotemporal patterns, driving factors and seasonal risk of mosquito-borne disease importation into China, School of Geography and Environmental Science, University of Southampton, UK

14^th Batch (2011-2013), International Field Epidemiology Training Programme (IFETP) - Thailand, jointly sponsored by the Ministry of Public Health Thailand, World Health Organization, and US Centres for Disease Control and Prevention.

Master of Medicine (2006-2009) in Epidemiology and Health Statistics: Evaluating a Temporal-Spatial Model for Infectious Diseases Outbreak Detection, Chinese Centre for Disease Control and Prevention, Beijing, China

Bachelor of Medicine (2001-2006), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China

Employment

2020 – present: Senior Research Fellow, WorldPop, School of Geography and Environmental Science, University of Southampton, UK

2018 – 2019: Research Fellow, WorldPop, School of Geography and Environmental Science, University of Southampton, UK

2012 – 2017: Medical Epidemiologist, Division of Infectious Diseases, Chinese Centre for Disease Control and Prevention

2009 – 2011: Medical Epidemiologist, Office for Disease Control and Emergency Response, Chinese Centre for Disease Control and Prevention

Research

Publications

Teaching

Contact

Research interests

Lai has broad research interests around spatiotemporal patterns and interactions between seasonal population movements, environmental changes and infectious disease dynamics by using multidisciplinary approaches, e.g. GIS and epidemiology, and novel data sources, e.g. mobile phone data, to provide an improved evidence-base for sustainable development and health promotion. He has >100 papers published in leading scientific journals including Nature, Science, The Lancet Infectious Diseases, Nature Microbiology, Nature Communications, Clinical Infectious Diseases, BMC Medicine, Emerging Infectious Diseases, and Bulletin of the World Health Organization.

Research projects

Funded by several national and international funders, his current research is focusing on mapping seasonal human mobility in low- and middle-income settings, and measuring transmission dynamics and intervention efficacy of infectious diseases, e.g. COVID-19, dengue, malaria, and avian influenza.

Recent and current projects:

Mapping seasonal denominator dynamics in low- and middle-income settings, Bill & Melinda Gates Foundation
MOnitoring Outbreak events for Disease surveillance in a data science context (MOOD), EU Horizon 2020
Quantify the Pattern of Dengue Importation from Southeast Asia into China via Air Travel and Environmental Suitability of Secondary Transmission in China, National Natural Science Foundation of China

Research group

Population, Health and Wellbeing (PHeW)

Affiliate research group

WorldPop

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Articles

Book Chapters

Yang, W., Li, Z., Lan, Y., Ma, J., Jin, L., Lai, S., Liao, Y., Lv, W., Sun, Q., & Wang, J. (2017). China Infectious Diseases Automated-Alert and Response System (CIDARS). In Early Warning for Infectious Disease Outbreak: Theory and Practice (pp. 133-161). Elsevier.
Jin, L., Ma, J., Lv, W., Lai, S., & Hong, Z. (2017). Development of early warning information systems. In W. Yang (Ed.), Early Warning for Infectious Disease Outbreak: Theory and Practice (pp. 99). Elsevier.
Lan, Y., Zhou, D., Zhang, H., & Lai, S. (2017). Development of Early Warning Models. In W. Yang (Ed.), Early Warning for Infectious Disease Outbreak Theory and Practice (1 ed., pp. 35). Elsevier.
Lai, S., Li, X., & Zhang, H. (2017). Early detection for hand, foot, and mouth disease outbreaks. In Early Warning for Infectious Disease Outbreak: Theory and Practice (pp. 283) https://www.elsevier.com/books/early-warning-for-infectious-disease-outbreak/yang/978-0-12-812343-0
Lan, Y., Li, Z., Zhou, D., & Lai, S. (2017). Evaluation of early warning systems. In W. Yang (Ed.), Early Warning for Infectious Disease Outbreak: Theory and Practice (pp. 113). Elsevier.

Letter/Editorial

Jia, P., Dong, W., Yang, S., Zhan, Z., Tu, L., & Lai, S. (2020). Spatial lifecourse epidemiology and infectious disease research. Trends in Parasitology, 36(3), 235-238. https://doi.org/10.1016/j.pt.2019.12.012

Lecturing quantitative methods for the undergraduate module - Practicing Human Geographical Research (Geog2035).

Dr Shengjie Lai
Regus Cumberland Hse/101

Room Number: Regus Cumberland Hse

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