GMU researcher receives $150,000 for COVID-19 networked meta-population modeling and analysis

Cameron Nowzari, Assistant Professor, Electrical and Computer Engineering, received $150,000 from the National Science Foundation for a project in which he and his collaborators are developing numerical methods and mathematical models to provide complementary support to the epidemiologists worldwide who are working to understand how COVID-19 spreads.

Some of the questions they hope to answer are: Is social distancing working? How much more effective would it be to require people to shelter-in-place? Is it worth the social cost? What is the effect of 10 percent of the population ignoring these protocols? What is the marginal benefit of enforcing quarantines versus implementation cost?

As they work, however, the researchers expect that their questions will evolve.

Funding for this project began in May 2020 and will end in April 2021.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

Sign in to keep reading

We're committed to providing free access to quality science. By registering and providing insight into your preferences you're joining a community of over 1m science interested individuals and help us to provide you with insightful content whilst keeping our service free.

or

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Concertgoers back detection dogs as practical COVID-19 screening tool in real-world trial