PLoS ONE paper on mitigating infection risk in queues

PLOS ONE published our paper on mitigating infection risk in queues.
Derjany P, Namilae S, Liu D, Srinivasan A (2020) Multiscale model for the optimal design of pedestrian queues to mitigate infectious disease spread. PLoS ONE 15(7): e0235891. https://doi.org/10.1371/journal.pone.0235891

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NSF grant on COVID-19

Project VIPRA has received a grant from the National Science Foundation’s RAPID program for “Leveraging New Data Sources to Analyze the Risk of COVID-19 in Crowded Locations”. This is in collaboration with the CAM2 team at Purdue.

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PLOS ONE paper on CALM model

PLOS ONE published our paper on the new CALM model.
M.S. Lahijani, T. Islam, A. Srinivasan, and S. Namilae. Constrained Linear Movement Model (CALM): Simulation of passenger movement in airplanes. PLoS ONE 15(3): e0229690 (2020). https://doi.org/10.1371/journal.pone.0229690

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Press coverage related to coronavirus outbreak

The following news items discussed VIPRA research and the Workshop on Pedestrian Dynamics and Epidemic Modeling in the context of the current coronavirus outbreak.
Contagion experts convene in Pensacola to discuss containing the coronavirus
Pensacola News Journal article quoting VIPRA researchers on the coronavirus outbreak.
Coronavirus workshop: Experts gather at UWF to discuss air travel infections
WEAR TV (ABC affiliate) news on Workshop on […]

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Workshop on Pedestrian Dynamics and Epidemic Modeling 2020

VIPRA hosts the Workshop on Pedestrian Dynamics and Epidemic Modeling at University of West Florida in Pensacola. This workshop brings together researchers in pedestrian dynamics and epidemic modeling, and also decision makers who could leverage scientific results linking these two fields.

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Talk at Lawrence Berkeley National Lab

Ashok Srinivasan presented a talk on Parallel Pedestrian Dynamics for Analysis of Infection Spread During Air Travel, summarizing recent results from project VIPRA, at Lawrence Berkeley National Lab, 18 October 2019.

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NSF CSSI Grant

Project VIPRA has received a grant from the National Science Foundation’s CSSI program for “Cyberinfrastructure for Pedestrian Dynamics-Based Analysis of Infection Propagation Through Air Travel”.

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