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Congratulations on publication!
Eden, M., Castonguay, R., Munkbat, B., Balasubramanian, H., Gopalappa, C., Agent-based evolving network modeling: a new simulation method for modeling low prevalence infectious diseases, Health Care Management Science, Ahead-of-Print, May 2021
Singh, S., France, A. M., Chen, Y-H, Farnham, P. G., Oster, A. M., Gopalappa, C., Progression and Transmission of HIV(PATH4.0): A new agent-based evolving network simulation for modeling HIV transmission clusters; Mathematical Biosciences and Engineering, 18 (3), 2021, LINK
Virtual graduation celebration for Shifali Bansal- On the plus was nice that alumni and students away on internships could attend… was fun playing codenames
Effective COVID-19 control at universities are dependent on contact rate, asymptomatic testing compliance, and face-mask-use/ 6ft distancing compliance. Preliminary results from applying our previous simple SEIR model(https://medrxiv.org/content/10.1101/2020.07.21.20158303v1.full.pdf). But more specific to a university plan of mass-testing twice per week. Online app of model: https://covid-university.herokuapp.com
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COVID-19 University Simulator – App
WebApp ‘COVID19 university simulator’ for evaluating varying levels of mass test, trace and test, delays in testing, transmission rate (face mask use, physical distancing), contact rate in a university setting https://covid-university.herokuapp.com/
Pre-print to “Threshold analyses on rates of testing, transmission, and contact for COVID-19 control in a university setting” https://www.medrxiv.org/content/10.1101/2020.07.21.20158303v1.full.pdf Analyses by Xinmeng Zhao and Hanisha Tatapudi
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COVID-19 simulation(v2)
Version 2 of simulation V2 is released. This is an interactive simulation tool for evaluating combinations of contact reduction, contact tracing and testing, and universal testing needed for efficient phased reopening . This version allows evaluations of multiple alternative combinations, flexibility to change units costs, and flexibility in setting analytic time-period. Great work by @xinmengzhao [ Read More ]
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COVID-19 Simulation Tool
Check out the first version of our tool for NY for Evaluating Phased Reopening Decisions Simulation Tool for Evaluating Phased Reopening Decisions HERE
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