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.

Public Health Relevance

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.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
2U54GM088491-06
Application #
8796445
Study Section
Special Emphasis Panel (ZGM1-BBCB-5 (MI))
Project Start
Project End
Budget Start
2014-09-24
Budget End
2015-06-30
Support Year
6
Fiscal Year
2014
Total Cost
$37,122
Indirect Cost
$13,016
Name
University of Pittsburgh
Department
Type
DUNS #
004514360
City
Pittsburgh
State
PA
Country
United States
Zip Code
15213
Lessler, Justin; Cummings, Derek A T (2016) Mechanistic Models of Infectious Disease and Their Impact on Public Health. Am J Epidemiol 183:415-22
Salje, Henrik; Cauchemez, Simon; Alera, Maria Theresa et al. (2016) Reconstruction of 60 Years of Chikungunya Epidemiology in the Philippines Demonstrates Episodic and Focal Transmission. J Infect Dis 213:604-10
Clapham, Hannah E; Rodriguez-Barraquer, Isabel; Azman, Andrew S et al. (2016) Dengue Virus (DENV) Neutralizing Antibody Kinetics in Children After Symptomatic Primary and Postprimary DENV Infection. J Infect Dis 213:1428-35
Chadsuthi, Sudarat; Iamsirithaworn, Sopon; Triampo, Wannapong et al. (2016) The impact of rainfall and temperature on the spatial progression of cases during the chikungunya re-emergence in Thailand in 2008-2009. Trans R Soc Trop Med Hyg 110:125-33
Guclu, Hasan; Read, Jonathan; Vukotich Jr, Charles J et al. (2016) Social Contact Networks and Mixing among Students in K-12 Schools in Pittsburgh, PA. PLoS One 11:e0151139
Grantz, Kyra H; Rane, Madhura S; Salje, Henrik et al. (2016) Disparities in influenza mortality and transmission related to sociodemographic factors within Chicago in the pandemic of 1918. Proc Natl Acad Sci U S A 113:13839-13844
Poon, Leo L M; Song, Timothy; Rosenfeld, Roni et al. (2016) Quantifying influenza virus diversity and transmission in humans. Nat Genet 48:195-200
Dalziel, Benjamin D; Bjørnstad, Ottar N; van Panhuis, Willem G et al. (2016) Persistent Chaos of Measles Epidemics in the Prevaccination United States Caused by a Small Change in Seasonal Transmission Patterns. PLoS Comput Biol 12:e1004655
Nisalak, Ananda; Clapham, Hannah E; Kalayanarooj, Siripen et al. (2016) Forty Years of Dengue Surveillance at a Tertiary Pediatric Hospital in Bangkok, Thailand, 1973-2012. Am J Trop Med Hyg 94:1342-7
Lessler, Justin; Salje, Henrik; Van Kerkhove, Maria D et al. (2016) Estimating the Severity and Subclinical Burden of Middle East Respiratory Syndrome Coronavirus Infection in the Kingdom of Saudi Arabia. Am J Epidemiol 183:657-63

Showing the most recent 10 out of 199 publications