Predicting COVID-19 community infection relative risk with a Dynamic Bayesian Network
As COVID-19 continues to impact the United States and the world at large it is becoming increasingly necessary to develop methods which predict local scale spread of the disease. This is especially important as newer variants of the virus are likely to emerge and threaten community spread. We develo...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Published: |
Frontiers Media S.A.,
2022-10-01T00:00:00Z.
|
| Subjects: | |
| Online Access: | Connect to this object online. |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Internet
Connect to this object online.3rd Floor Main Library
| Call Number: |
A1234.567 |
|---|---|
| Copy 1 | Available |