• Adjunct Professor, Global Health
  • Professor, Health Metrics Sciences
Photo of David Smith

University of Washington
Box 357965
Seattle, WA
United States

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Professor David L Smith and his team use multiple quantitative methods in an expansive research program that addresses questions in basic science, computational epidemiology, disease ecology, mathematical modeling, and policy analytics for global health. A key goal is to quantify and propagate uncertainty to improve scientific inference and provide robust policy advice. Smith has published on several diseases including malaria, influenza, rabies, dengue, yellow fever, cholera and nosocomial bacterial pathogens such as Staphylococcus aureus and enterococci. His research has covered themes relating to mosquito ecology, mosquito-borne pathogen transmission, human and mosquito mobility, the spatial dynamics of infectious diseases, evolution of resistance, disease control, and malaria elimination and eradication. Smith is a member of the Malaria Atlas Project, a contributor to the Global and Local Burden of Diseases Studies, and PI of the Malaria Modeling Consortium Secretariat.

  • PhD (Princeton University)
  • MA (Princeton University)
  • MS (Brigham Young University)
  • BS (Brigham Young University)
Country Affiliations 
  • Spanish
Health Topics 
  • Burden of Disease
  • Diarrheal Diseases
  • Epidemiology
  • Health Policy
  • Host-Pathogen Interactions
  • Infectious Diseases (other than STDs)
  • Malaria
  • Metrics and Evaluation
  • Modeling
  • Zoonotic Diseases and Animal Health
DGH Centers, Programs and Initiatives and Affiliated Organizations 

Bhatt S, et al. (2015) The effect of malaria control on Plasmodium falciparum in Africa between 2000 and 2015. Nature (2015) 526:207-211.

Wesolowski A, et al. (2012). Quantifying the impact of human mobility on malaria. Science 338: 267-270

Perkins TA, et al. (2013) Heterogeneity, mixing, and the spatial scales of mosquito-borne pathogen transmission. PLoS Computational Biology 9 (12), e1003327.

Smith DL, et al. (2013). A sticky situation: the unexpected stability of malaria elimination. Phil. Trans. R. Soc. B 368: 20120145.

Smith DL, et al. (2007). Revisiting the basic reproductive number for malaria and its implications for malaria control. PLoS biology 5:e42.