The Pittsburgh MIDAS Center of Excellence is committed to educate and train professionals from multiple fields of study, cultural backgrounds, diverse scientific fields and educational backgrounds, including diverse economic, physical and mental capabilities, in infectious disease modeling and it's broader impacts to public health of the nation. To meet the nation's need for a prepared diverse workforce in computational modeling and simulation of infectious diseases we will continue to focus on preparing creative investigators with technical and professional skills that include cross-training in modeling, infectious disease dynamics, public health, public policy and key issues in responsible conduct of science relevant to the MIDAS endavor. The Core will work collaboratively with all members of the Pittsburgh Center of Excellence, the national MIDAS network community, and other external communities - including those who traditionally do not see themselves as modelers. The important challenge and the gap that this training, outreach and diversity plan will address is to ensure the development of a future workforce of diverse individuals, including women and underrepresented minorities, who are ready to meet the needs of this highly integrative, trans-disciplinary, fast-moving and rapidly evolving field of research. Utilizing the broad expertise of the the MIDAS-3 faculty and innovative career development resources at the University of Pittsburgh a series of three objectives will be addressed: 1) empower emerging professionals in MIDAS-related fields to communicate across disciplines via interdisciplinary mentoring and """"""""hands on"""""""" research experiences;2) communicate the knowledge base of this dynamic, cross-disciplinary field by providing integrative coursework, webinars, workshops and conferences;3) attract and promote development of the next generation of future-oriented leaders in computational modeling and simulation of public health issues from diverse communities across the nation. Leadershop of the core will be provided by an experience expert in graduate education and career development, an advisory team, regularly scheduled meetings with the PI (Donald S. Burke) and evaluation of each objective outcome appropriately housed in the Graduate School of Public Health.
Training, education and outreach in the numerous scientific fields contributing to computational modeling of infectious diseases provided by the University of Pittsburgh MIDAS Center of Excellence will meet the mission of establishing a diverse workforce across the nation that is prepared to address the challenges of current and emergent biomedical epidemics.
|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|
|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|
|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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