This is a proposal for a multi-institutional MIDAS Center of Excellence called the Center for Statistics and Quantitative Infectious Diseases (CSQUID). The mission the Center is to provide national and international leadership. The lead institution is the Fred Hutchinson Cancer Research Center (FHCRC). Other participating institutions are the University of Florida, Northeastern University, University of Michigan, Emory University, University of Washington (UW), University of Georgia, and Duke University. The proposal includes four synergistic research projects (RP) that will develop cutting-edge methodologies applied to solving epidemiologic, immunologic and evolutionary problems important for public health policy in influenza, dengue, polio, TB, and other infectious agents: RP1: Modeling, Spatial, Statistics (Lead: I. Longini, U. Florida);RP2: Dynamic Inference (Lead: P. Rohani, U Michigan);RP 3: Understanding transmission with integrated genetic and epidemiologic inference (Co-Leads: E. Kenah, U Florida and T. Bedford, FHCRC);RP 4: Dynamics and Evolution of Influenza Strain Variation (Lead: R. Antia, Emory U). The Software Development and Core Facilities (Lead: A. Vespignani, Northeastern U) will provide leadership in software development, access, and communication. The Policy Studies (Lead: J. Koopman, U Michigan) will provide leadership in communication of our research results to policy makers, as well as conducting novel research into policy making. The Training, Outreach, and Diversity Plans include ongoing training of 9 postdoctoral fellows and 5.25 predoctoral research assistants each year, support for participants in the Summer Institute for Statistics and Modeling in Infectious Diseases (UW) and ongoing Research Experience for Undergraduates programs at two institutions, among others. All participating institutions and the Center are committed to increasing diversity at all levels. Center-wide activities include Career Development Awards for junior faculty, annual workshops and symposia, outside speakers, and participation in the MIDAS Network meetings. Scientific leadership will be provided by the Center Director, a Leadership Committee, an external Scientific Advisory Board as well as the MIDAS Steering Committee.
This multi-institutional MIDAS Center of Excellence provides a multi-disciplinary approach to computational, statistical, and mathematical modeling of important infectious diseases. The research is motivated by multiscale problems such as immunologic, epidemiologic, and environmental drivers of the spread of infectious diseases with the goal of understanding and communicating the implications for public health policy.
|Feldstein, Leora R; Matrajt, Laura; Elizabeth Halloran, M et al. (2016) Extrapolating theoretical efficacy of inactivated influenza A/H5N1 virus vaccine from human immunogenicity studies. Vaccine 34:3796-802|
|Bento, Ana I; Rohani, Pejman (2016) Forecasting Epidemiological Consequences of Maternal Immunization. Clin Infect Dis 63:S205-S212|
|Xue, Katherine S; Hooper, Kathryn A; Ollodart, Anja R et al. (2016) Cooperation between distinct viral variants promotes growth of H3N2 influenza in cell culture. Elife 5:e13974|
|Koepke, Amanda A; Longini Jr, Ira M; Halloran, M Elizabeth et al. (2016) PREDICTIVE MODELING OF CHOLERA OUTBREAKS IN BANGLADESH. Ann Appl Stat 10:575-595|
|Ngwa, Moise C; Liang, Song; Kracalik, Ian T et al. (2016) Cholera in Cameroon, 2000-2012: Spatial and Temporal Analysis at the Operational (Health District) and Sub Climate Levels. PLoS Negl Trop Dis 10:e0005105|
|Chao, Dennis L; Dimitrov, Dobromir T (2016) Seasonality and the effectiveness of mass vaccination. Math Biosci Eng 13:249-59|
|Neher, Richard A; Bedford, Trevor; Daniels, Rodney S et al. (2016) Prediction, dynamics, and visualization of antigenic phenotypes of seasonal influenza viruses. Proc Natl Acad Sci U S A 113:E1701-9|
|Chen, Wan-Jun; Lai, Sheng-Jie; Yang, Yang et al. (2016) Mapping the Distribution of Anthrax in Mainland China, 2005-2013. PLoS Negl Trop Dis 10:e0004637|
|Fang, Li-Qun; Yang, Yang; Jiang, Jia-Fu et al. (2016) Transmission dynamics of Ebola virus disease and intervention effectiveness in Sierra Leone. Proc Natl Acad Sci U S A 113:4488-93|
|Magpantay, F M G; Domenech DE CellÃ¨s, M; Rohani, P et al. (2016) Pertussis immunity and epidemiology: mode and duration of vaccine-induced immunity. Parasitology 143:835-49|
Showing the most recent 10 out of 63 publications