This proposal for a Pittsburgh MIDAS Center of Excellence (U54) builds upon our proven track record of productivity in the NIGMS Modeling of Infectious Disease Agent Study """"""""MIDAS"""""""" program. In that prior collaborative effort we successfully advanced both the theory and practice of epidemic modeling. We developed large scale agent-based simulations of a threatening avian influenza pandemic, used our models to evaluate potential epidemic control strategies, and advised the highest levels of the US Government and the WHO on public health policy. The senior investigators from our MIDAS team - Burke, Ferguson, and Epstein - constitute the nucleus of this proposed Center of Excellence. Research within the Center of Excellence is divided into seven project teams, each focusing on a specific component problem in computational modeling;all seven projects are complementary without duplication. Four of the projects (Parameters, Behavior, Evolution, and Environment) seek to model the dynamical processes and subprocesses of infectious disease epidemics, while three others (Decisions, Preparedness, Applied Modeling) seek to improve the utility of models in public health policy decision-making. A unique feature of this Center of Excellence is its exceptionally interdisciplinary character;there is vigorous participation of behavioral scientists, psychologists, lawyers, and public health practitioners, and there are strong collaborations with public health agencies at the county (Allegheny), state (Pennsylvania) and national (CDC) levels. Three cores (Administrative;Education, Training, &Outreach;Computing) provide support across the Center. Key personnel are drawn from the University of Pittsburgh, Carnegie Mellon University, the Pittsburgh Supercomputing Center, Johns Hopkins University, the Brookings Institution, and Imperial College, all outstanding research institutions. We are well positioned to provide continued leadership in the renewed MIDAS network, and we are deeply committed to collaborative research not only within our own Center of Excellence but across the entire MIDAS network structure.
The mission of the Pittsburgh MIDAS Center of Excellence is to protect the United States of America and the global community against communicable infectious disease threats. We will do this by improving our nation's ability to predict potential epidemics, to devise strategies to prevent the emergence or re-emergence of pathogenic microbes, and to respond rapidly - when necessary - to mitigate the impact of a spreading epidemic.
|Brooks, Logan C; Farrow, David C; Hyun, Sangwon et al. (2018) Nonmechanistic forecasts of seasonal influenza with iterative one-week-ahead distributions. PLoS Comput Biol 14:e1006134|
|Biggerstaff, Matthew; Johansson, Michael; Alper, David et al. (2018) Results from the second year of a collaborative effort to forecast influenza seasons in the United States. Epidemics 24:26-33|
|España, Guido; Grefenstette, John; Perkins, Alex et al. (2018) Exploring scenarios of chikungunya mitigation with a data-driven agent-based model of the 2014-2016 outbreak in Colombia. Sci Rep 8:12201|
|Paternina-Caicedo, Angel; Driessen, Julia; Roberts, Mark et al. (2018) Heterogeneity Between States in the Health and Economic Impact of Measles Immunization in the United States. Open Forum Infect Dis 5:ofy137|
|Althouse, Benjamin M; Guerbois, Mathilde; Cummings, Derek A T et al. (2018) Role of monkeys in the sylvatic cycle of chikungunya virus in Senegal. Nat Commun 9:1046|
|Buchanich, Jeanine M; Doerfler, Shannon M; Lann, Michael F et al. (2018) Improvement in racial disparities in years of life lost in the USA since 1990. PLoS One 13:e0194308|
|Lauer, Stephen A; Sakrejda, Krzysztof; Ray, Evan L et al. (2018) Prospective forecasts of annual dengue hemorrhagic fever incidence in Thailand, 2010-2014. Proc Natl Acad Sci U S A 115:E2175-E2182|
|Brownwright, Tenley K; Dodson, Zan M; van Panhuis, Willem G (2017) Spatial clustering of measles vaccination coverage among children in sub-Saharan Africa. BMC Public Health 17:957|
|Kirsch, Thomas D; Moseson, Heidi; Massaquoi, Moses et al. (2017) Impact of interventions and the incidence of ebola virus disease in Liberia-implications for future epidemics. Health Policy Plan 32:205-214|
|Grubaugh, Nathan D; Ladner, Jason T; Kraemer, Moritz U G et al. (2017) Genomic epidemiology reveals multiple introductions of Zika virus into the United States. Nature 546:401-405|
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