Columbia University's Zuckerman Institute

Login

Password

Forgot your password?

Join VuMedi

Select specialty

First name

Last name

Choose Password

About Us
Careers
Partner with us
F.A.Q
Contact us
Terms & conditions
Privacy policy

Columbia University's Zuckerman Institute

Columbia’s Zuckerman Institute is dedicated to sharing the extraordinary research of our scientists with broad audiences.

https://zuckermaninstitute.columbia.edu/

Videos

Playback speed

10 seconds

Video Player is loading.

Current Time 0:00

Duration 0:00

Loaded: 0%

Stream Type LIVE

Remaining Time -0:00

0.5x
0.75x
1x, selected
1.25x
1.5x
1.75x
2x

Chapters

descriptions off, selected

captions settings, opens captions settings dialog
captions off, selected

This is a modal window.

Beginning of dialog window. Escape will cancel and close the window.

TextColorTransparency

BackgroundColorTransparency

WindowColorTransparency

Font Size

Text Edge Style

Font Family

End of dialog window.

This is a modal window. This modal can be closed by pressing the Escape key or activating the close button.

Simulation & Projection of COVID-19 in the US: What Is the Metapopulation Model and How Does it Work? Can the Model Project Future Outcomes of the Disease?

By Columbia University's Zuckerman Institute FEATURING Jeffrey Shaman

0 views

May 27, 2020

Simulation and Projection of COVID-19 in the US
Dr. Shaman described his group’s work on ...
read more ↘ developing a metapopulation model that describes the transmission dynamics of SARS-CoV-2 and its application for inferring key epidemiological characteristics and projecting future outcomes. His team built a metapopulation network model, representing 375 cities in China during the period of January 10-23. The model separately represents documented and undocumented infections, as well as contagiousness for documented/undocumented infections, outputting various parameters such as transmission rate, latency period, infectious period, relative transmission rate, etc. The stimulations of the model showed that without transmission from undocumented cases, confirmed cases decrease 79%. The model-inference approach identified a 14% documentation rate prior to travel restrictions, and indicates that undocumented infections contribute substantially to COVID-19 transmission. The model was also applied to the United States and made projections with the parameters from the system, as well as projections of COVID-19 cases and deaths as individual states re-open (https://www.medrxiv.org/content/10.11...)
↖ read less

Comments 3

Videos