Daozhou Gao
 Title: Assistant Professor
 Dept: Mathematics and Statistics
 Office: RT 1536
 Phone: 216-523-7157
 Email: d.gao51@csuohio.edu
 Web: https://scholar.google.com/citations?user=4frm1dcAAAA
 Address: 2121 Euclid Ave. RT 1536, Cleveland, OH 44115

Courses Taught


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Research Keywords:
Disease dynamics, epidemic patch model, basic reproduction number, vector-borne disease, disease prevalence, mathematical modeling, human movement, population abundance, behavior change.
Ph.D., Applied Mathematics, University of Miami, 2012
M.S., Pure Mathematics, University of Science and Technology of China, 2007
B.S., Mathematics, Anhui University, 2004
Brief Bio:
Dr. Daozhou Gao obtained his Ph.D. in applied mathematics from the University of Miami in 2012. After graduation, he worked as a postdoctoral scholar at the University of California, San Francisco until November 2015. Before joining CSU, he was a professor at the Department of Mathematics in Shanghai Normal University in China.

His primary research interests focus on mathematical epidemiology, population ecology and differential equations. Specially, he uses differential equations to model the transmission of infectious diseases and apply analytical techniques and computational methods to study the effects of human movement on disease spread, to discover the influence of behavior change on disease transmission, and to guide mass drug administration. So far, he has published more than 40 articles in peer-reviewed journals including several highly cited papers. Particularly, three papers on the journal SIAM Journal on Applied Mathematics were selected as SIAM Nuggets and reported by SIAM news. Their modeling study on Zika virus disease that included both mosquito-borne and sexual transmission received considerable media coverage including Canadian Television Network, WLRN and WGCU radio stations, O Globo in Brazil, El Comercio in Peru, and Guokr in China. In addition, he co-edited two special issues on modeling COVID-19 and mathematical biology, respectively.
Research Interests:
Mathematical Epidemiology, Population Ecology, and Differential Equations
Teaching Areas:
Differential Equations, Mathematical Biology, Applied Mathematics, Linear Algebra
Professional Service:
Editorial Board: Infectious Disease Modelling (since June 2023), Mathematical Biosciences (since May 2023), Mathematical Biosciences and Engineering (since September 2018).

Advisory Service: WHO Research and Development (R&D) Blueprint Diseases Prioritization Methodological Review Meeting, Temporary Adviser, November 17-18, 2016, Geneva, Switzerland.

Journal Referee: Acta Biotheoretica, Acta Mathematicae Applicatae Sinica, Applied Mathematical Modelling, Applied Mathematics and Computation, BMC Infectious Diseases, BMC Medicine, Bulletin of Mathematical Biology, Communications in Nonlinear Science and Numerical Simulation, Communications on Applied Mathematics and Computation, Discrete and Continuous Dynamical Systems-Series B, Frontiers in Public Health, IEEE Journal of Biomedical and Health Informatics, Infectious Disease Modelling, International Journal of Bifurcation and Chaos, International Journal of Biomathematics, Journal of Biological Dynamics, Journal of Biological Systems, Journal of Computational and Nonlinear Dynamics, Journal of Differential Equations, Journal of Mathematical Analysis and Applications, Journal of Mathematical Biology, Journal of Nonlinear Science, Journal of Statistical Computation and Simulation, Journal of Theoretical Biology, Mathematical Biosciences, Mathematical Biosciences and Engineering, Mathematical Population Studies, Mathematics and Computers in Simulation, MDPI Mathematics, Open Mathematics, Parasite Epidemiology and Control, PeerJ-The Journal of Life and Environmental Sciences, PLoS Computational Biology, PLoS Neglected Tropical Diseases, PLoS ONE, Preventive Medicine, Preventive Veterinary Medicine, Qualitative Theory of Dynamical Systems, Royal Society Open Science, Scientific Reports, SIAM Journal on Applied Dynamical Systems, SIAM Journal on Applied Mathematics, Theoretical Biology and Medical Modelling, Theoretical Population Biology, Transfusion.