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RAPID development of a local epidemiological population balance model informed by UAV and WVD data.
Abstract: Decision making and policy setting by universities and localities requires knowledge of how people move and interact in the environment. This program adapts new scientific approaches in population balance modeling developed under the auspices of the National Science Foundation to model human movement and interaction in our college and town with the goal of providing new tools to help in developing rational strategies for mitigation and eventual elimination of the novel corona virus, as well as future biological threats. Data for the model input will be obtained from high-definition video footage of public, outdoor areas including green spaces/parks, sidewalks/streets, and campus walkways/congregating spaces analyzed by artificial intelligence algorthims. Highly efficient tools, again developed in prior research funded by the National Science Foundation, will enable determining key parameters needed for epidemiological models including effective transmission rates. Epidemiological modeling will be translated into a dashboard for use by policy makers as well as for public education about various mitigation strategies. This RAPID project will provide a computational tool and example for use more broadly by communities and in additional and future, challenging public health issues.
A multivariate population balance model applied to a college and local municipality will generate key parameters for agent-based epidemiological models. Multivariate balance modeling will be challenged with new data sets of local population density and motion for model parameter estimation using parallel tempering developed under prior and current NSF support. In addition to the usual distinctions of immune, susceptible, exposed, infected, and recoveredclasses, additional variables to consider include: age, especially relevant for University students, face-covering, inside and outside, and spatial-temporal population distributions afforded by real time updates of aerial (unmanned aerial vehicle) and ground (stationary camera augemented by wearable video devices) surveillance data. While it is common to include coarse-grained information afforded by transportation networks in large-scale epidemiology models, this project will explore opportunities afforded by social force models combined with epidemic population balance modeling. Advanced parallel tempering algorithms will be run on a GPU cluster to challenge the model with daily data streams to update parameters for epidemiological models and scenario projections. A project dashboard will be made available for policy decision making and public education. Broader impacts include computational tools that can be applied to a broad range of public health behavioral issues.
Colloidal Suspension Rheology– companion study site with Q&A and updates to the book. Colloidal Suspension Rheology (Cambridge University Press, 2011)
In the News
American Chemical Society produces a 3:22 minute movie about Shear Thickening Fluids and STF Technologies LLC
shown at SXSW 2017!
view the movie here:
Prof. Wagner Gives Webinar for AIChE Academy!
Protective Materials for First Responders, Football Players, and Astronauts: Shear Thickening Fluids
Originally delivered Aug 30, 2017
2/21/2017 Prof. Wagner delivers American Chemical Society Webinar– Chemistry of Sports
Prof. Wagner delivers American Chemical Society Webinar– now online…
Future Protective Materials for First Responders, Football Players, and Astronauts: Shear Thickening Fluids – American Chemical Society American Chemical Society: Chemistry for Life.
STF Technologies research on the STAR Campus highlighted in the news- watch the video here WDEL
Shear thickening fluid research is highlighted by PBS WHYY (CH 12) Friday June 26th, 2015 on FIRST- watch here
STF Armor(tm) technology highlighted in March 4th Wilmington News Journal Article “Liquid Armor: University of Delaware’s innovation” by Molly Murray delawareonline.com
The schematic on the cover illustrates a shear-induced hexagonal close-packed crystal structure formed in concentrated Pluronic F127/ethylammonium nitrate solutions, along with small angle neutron scattering 2D patterns measured
perpendicular to the three planes of flow, adapted from Figure 11 of the paper by López-Barrón, Wagner, and Porcar ( Journal of Rheology 59(3) (2015) p. 793)