Elaine Nsoesie, PhD, MS

Assistant Professor of Global Health, UW Institute for Health Metrics & Evaluation (IHME)

Adjunct Assistant Professor, Biomedical Informatics and Medical Education

Twitter: @ensoesie




Infectious disease modeling, public health surveillance, digital epidemiology and global health


BS in Mathematics from the University of Maryland, MS in Statistics and PhD in Computational Epidemiology from the Genetics, Bioinformatics and Computational Biology program, Virginia Tech.


I am interested in the use of statistical and computational approaches for public health surveillance. My research is focused on the modeling of infectious diseases, and the use of emerging technologies and tools for improving understanding of disease spread and public health practice. I am also interested in health disparities, global health security and policy.

I am interested in collaborating with students doing infectious disease research and serving in MS and PhD committees.

Representative publications:

Zinszer K, Morrison K, Brownstein JS, Marinho F, Santos AF, Nsoesie EO (2017), “Reconstruction of Zika virus introduction in Brazil,” Emerging Infectious Diseases: DOI: 10.3201/eid2301.161274

Quynh NC, Li D, Meng H, Kath S, Nsoesie E, Li F, Wen M (2016),“Using Geotagged Twitter Data to Examine National Trends in Happiness and Health Behaviors,” Journal of Medical Internet Research Public Health Surveillance: 2(2):e158.

Nsoesie EO**, Kraemer MUG**, Golding N, Pigott DM, Brady OJ, Moyes CL, Johansson MA, Gething
PW, Velayudhan R, Khan K, Hay SI, Brownstein JS (2016), “Global Distribution and Environmental Suitabil-
ity for Chikungunya Virus, 1952 to 2015,”Eurosurveillance 21(20):pii=30234. doi http://dx.doi.org/10.2807/1560- 7917.ES.2016.21.20.30234

Santillana M, Nguyen AT, Dredze M, Paul MJ, Nsoesie EO, Brownstein JS (2015) “Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance,” PLos Computational Biology doi: 10.1371/journal.pcbi.1004513

Nsoesie EO, Kluberg S, Mekaru S, Majumder MS, Khan K, Hay SI, Brownstein JS (2015) “New Digital Technologies for the Surveillance of Infectious Diseases at Mass Gathering Events,” Clinical Microbiology and Infection. 21(2): 134-140. doi: 10.1016/j.cmi.2014.12.017

Yuan Q**, Nsoesie EO**, Lv B, Peng G, Chunara R, et al. (2013), “Monitoring Influenza Epidemics in China with Search Query from Baidu,” PLoS ONE 8(5): e64323. doi:10.1371/journal.pone.0064323.

**joint first author