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
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
Excellent presentations of their work by graduate students at the INFORMS Healthcare conference, 2019……….. Left to right- Shifali Bansal, Xinmeng Zhao, Hanisha Tatapudi, Sonza Singh, and Nazanin … and Escape Room success!!
Congratulations Buyan for being selected to the Insight Data Engineering Fellowship Program !!
Shifali will work as a Quality Assurance inter. Her job responsibilities include process validation and software validation that support the maintenance and compliance to Super Brush’s ISO 13485:2016 quality system.
Vijeta is joining MGH after finishing his MS in Industrial Engineering with an excellent thesis on control optimization modeling for identifying optimal screening schedules for cancers in low infrastructure settings.
Project from my 200-level GenEd class, 16 students from 8 different majors – engineering, public health, computer science, economics, physics, biology, management, journalism. They did a literature review for identifying quantified correlations between social determinants and behavior, and behavior and HIV. And developed a differential equations simulation model for predicting impact of addressing social determinants. [ Read More ]