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Collaboration with the World Health Organization to model and faciliate policy recommendations for the containment of COVID19

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Harvard-WHO

This project contains working code and models for a collaboration between Harvard Data Analytics and the World Health Organization.

We were able to successfully create an interface that displays estimated transmission rates and epidemic curves of the COVID-19 virus based on the number of COVID-19 cases for a given country.

This interface will help the World Health Organization and many countries successfully monitor transmission rates and prescribe public policies addressing the COVID-19 epidemic.

https://harvardanalytics.shinyapps.io/covid19/

The Team

Justin Zhu: justinzhu@college.harvard.edu

Amy Tan: atan@college.harvard.edu

Sophie Khorasani: sbkhorasani@college.harvard.edu

RunLin Wang: rwang3@college.harvard.edu

Theresa Nguyen: nguyenn@college.harvard.edu

Carina Peng: fpeng@college.harvard.edu

World Health Organization Collaborators

Dr. Ana Riviere-Cinnamond

Dr. Manuel Jose Sanchez Vazquez

Dr. Enrique Perez

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Collaboration with the World Health Organization to model and faciliate policy recommendations for the containment of COVID19

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