The overall objective of this component is to provide national and international leadership in education for the next generation of researchers, to provide a dissemination and outreach plan for the results of the research, and to intensify recruitment and retention of underrepresented minorities.
The specific aims i n training include the following: 1) support and mentor 5.25 predoctoral Research Assistants and 9 Postdoctoral Fellows each year;2) support 10 participants in the NIGMS-supported Summer Institute for Statistics and Modeling in Infectious Diseases each summer (U Washington);3) support an annual publication workshop with the group considered to have made the most progress toward a publication to augment the NIGMS supported International Clinics on Infectious Disease Dynamics and Data (ICI3D) Program (PI: J. Pulliam, U Florida) that aims to build capacity in epidemiological modeling in the US and Africa;4) support an additional three students in the NSF-supported Research Experience for Undergraduates at the University of Georgia on Population Biology of Infectious Diseases (PI: J. Drake, U Georgia);5) support one additional student to focus on infectious disease methods in Summer Undergraduate Research Program at FHCRC;6) offer competitive Career Development Awards for junior faculty. One of the key faculty (R. Antia, Emory U) teaches monks each year overseas as part of the Emory-Tibet Science Initiative. The MIDAS Center has a comprehensive plan for dissemination of the results and software and outreach to different constituencies. The dissemination plan includes the website and workshops. The Center's website will serve two purposes: i) a restricted-access section will facilitate transfer of knowledge and results within the center's members, and ii) a public-access section will be set up in order to communicate our results to both specialist and general audiences. Workshops will provide outreach to select members of the public health policymaking community to ensure that policymakers are sufficiently familiar with the methods of the substantive modelers so that they can use their analyses effectively. The Center is committed to increasing diversity in the areas of the mission of the Center.

Public Health Relevance

The challenges of responding to global infectious diseases is growing. Our MIDAS Center of Excellence will both train the next generation of quantitative researchers and also reach out to public health professionals so that they understand how these methods can provide actionable insights for policymaking in a stressful, uncertain environment. The Center is committed to increasing diversity in the quantitative fields.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
1U54GM111274-01
Application #
8796483
Study Section
Special Emphasis Panel (ZGM1-BBCB-5 (MI))
Project Start
Project End
Budget Start
2014-09-12
Budget End
2015-06-30
Support Year
1
Fiscal Year
2014
Total Cost
$176,488
Indirect Cost
$71,400
Name
Fred Hutchinson Cancer Research Center
Department
Type
DUNS #
078200995
City
Seattle
State
WA
Country
United States
Zip Code
98109
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 Cellès, M; Rohani, P et al. (2016) Pertussis immunity and epidemiology: mode and duration of vaccine-induced immunity. Parasitology 143:835-49

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