Imperial College London

DrRuiyunLi

Faculty of MedicineSchool of Public Health

Research Associate
 
 
 
//

Contact

 

ruiyun.li Website

 
 
//

Location

 

UG13Norfolk PlaceSt Mary's Campus

//

Summary

 

Summary

I am a research associate working with Azra Ghani in the Department of Infectious Disease Epidemiology. The main focus of my current research is evaluating the additional impact of new strategies and diagnostic tools on transmission and local elimination of malaria. 

My PhD was completed at Beijing Normal University, pursuing interdisciplinary work studying biogeography and the environmental determinants of infectious disease transmission. Before joining malaria group, I spent a year as visiting PhD candidate in Columbia University, where my research focused upon developing the Bayesian model-inference framework to better the inference of nonlinear dynamics of avian influenza. Following my PhD I trained in mathematical epidemiology in University of Oslo for the collaborative work linking climate variation and seasonal dengue risk.

Selected Publications

Journal Articles

Li R, Chen B, Zhang T, et al., 2020, Global COVID-19 pandemic demands joint interventions for the suppression of future waves, Proceedings of the National Academy of Sciences of the United States of America, ISSN:0027-8424

Li R, Pei S, Chen B, et al., 2020, Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV2), Science, Vol:368, ISSN:0036-8075, Pages:489-493

Li R, Xu L, Bjørnstad ON, et al., 2019, Climate-driven variation in mosquito density predicts the spatiotemporal dynamics of dengue, Proceedings of the National Academy of Sciences of the United States of America, Vol:116, ISSN:0027-8424, Pages:3624-3629

Li R, Zhang T, Bai Y, et al., 2018, Live poultry trading drives China's H7N9 viral evolution and geographical network propagation, Frontiers in Public Health, Vol:6, ISSN:2296-2565

Yehia N, Naguib M, Li R, et al., 2018, Multiple introductions of reassorted highly pathogenic avian influenza viruses (H5N8) clade 2.3.4.4b causing outbreaks in wild birds and poultry in Egypt, Infection Genetics and Evolution, Vol:58, ISSN:1567-1348, Pages:56-65

Li R, Bai Y, Heaney A, et al., 2017, Inference and forecast of H7N9 influenza in China, 2013 to 2015, Eurosurveillance, Vol:22, ISSN:1560-7917

Li R, Jiang Z, Xu B, 2014, Global spatiotemporal and genetic footprint of the H5N1 avian influenza virus, International Journal of Health Geographics, Vol:13, ISSN:1476-072X

More Publications