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
Moore, James; Ahmed, Hasan; Jia, Jonathan et al. (2018) What Controls the Acute Viral Infection Following Yellow Fever Vaccination? Bull Math Biol 80:46-63
Ajelli, Marco; Zhang, Qian; Sun, Kaiyuan et al. (2018) The RAPIDD Ebola forecasting challenge: Model description and synthetic data generation. Epidemics 22:3-12
Domenech de Cellès, Matthieu; Magpantay, Felicia M G; King, Aaron A et al. (2018) The impact of past vaccination coverage and immunity on pertussis resurgence. Sci Transl Med 10:
Dinh, Vu; Tung Ho, Lam Si; Suchard, Marc A et al. (2018) Consistency and convergence rate of phylogenetic inference via regularization. Ann Stat 46:1481-1512
Yang, Yang; Meng, Ya; Halloran, M Elizabeth et al. (2018) Reply to Aguiar and Stollenwerk. Clin Infect Dis 66:642
Bretó, Carles (2018) Modeling and inference for infectious disease dynamics: a likelihood-based approach. Stat Sci 33:57-69
Doud, Michael B; Lee, Juhye M; Bloom, Jesse D (2018) How single mutations affect viral escape from broad and narrow antibodies to H1 influenza hemagglutinin. Nat Commun 9:1386
Moore, James; Ahmed, Hasan; Antia, Rustom (2018) High dimensional random walks can appear low dimensional: Application to influenza H3N2 evolution. J Theor Biol 447:56-64
Claywell, Brian C; Dinh, Vu; Fourment, Mathieu et al. (2018) A Surrogate Function for One-Dimensional Phylogenetic Likelihoods. Mol Biol Evol 35:242-246
Sun, Kaiyuan; Zhang, Qian; Pastore-Piontti, Ana et al. (2018) Quantifying the risk of local Zika virus transmission in the contiguous US during the 2015-2016 ZIKV epidemic. BMC Med 16:195

Showing the most recent 10 out of 134 publications