Back to search

Article

The dynamic relationship between COVID-19 cases and SARS-CoV-2 wastewater concentrations across time and space: considerations for model training data sets

2022-11-24

Abstract excerpt

During the COVID-19 pandemic, wastewater-based surveillance has been used alongside diagnostic testing to monitor infection rates. With the decline in cases reported to public health departments due to at-home testing, wastewater data may serve as the primary input for epidemiological models, but training these models is not straightforward. We explored factors affecting noise and bias in the ratio between wastewa...

Topics

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

Identifiers and source

Literature Corpus work
617285e3-7e12-5b8c-9c1c-122ff8768b7c
DOI
10.1101/2022.11.23.22282684
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.
The dynamic relationship between COVID-19 cases and SARS-CoV-2 wastewater concentrations across time and space: considerations for model training data setsDOI 10.1101/2022.11.23.22282684
Select a neighboring publication to make it the new centre.