Back to search

Article

Bayesian sequential approach to monitor COVID-19 variants through positivity rate from wastewater

2023-01-11

Abstract excerpt

Trends in COVID-19 infection have changed throughout the pandemic due to myriad factors, including changes in transmission driven by social behavior, vaccine development and uptake, mutations in the virus genome, and public health policies. Mass testing was an essential control measure for curtailing the burden of COVID-19 and monitoring the magnitude of the pandemic during its multiple phases. However, as the pan...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
fb6a250b-3339-5f70-8d17-482c28cd175d
DOI
10.1101/2023.01.10.23284365
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Bayesian sequential approach to monitor COVID-19 variants through positivity rate from wastewaterDOI 10.1101/2023.01.10.23284365
Select a neighboring publication to make it the new centre.