Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Predicting COVID-19 Infected Individuals in a Defined Population from Wastewater RNA Data

12 Jul 2022

Abstract excerpt

Wastewater surveillance of SARS-CoV-2 RNA has become an important tool for tracking the presence of the virus and serving as an early indicator for the onset of rapid transmission. Nevertheless, wastewater data are still not commonly used to predict the number of infected individuals in a sewershed. The main objective of this study was to calibrate a susceptible-exposed-infectious-recovered (SEIR) model using RNA...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Biosensors and Analytical Detection
Share to COVID-19 diagnosis using AI
Share to SARS-CoV-2 detection and testing

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Source

Identifiers

PMID: 37406033
DOI: 10.1021/acsestwater.2c00105

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 9 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Predicting COVID-19 Infected Individuals in a Defined Population from Wastewater RNA DataPMID 37406033Read ↗

Detecting Sars-Cov-2 Variants in Wastewater and Their Correlation with Circulating Variants in the CommunitiesSemantic proximity Read ↗

Identification of Highly Transmissible Sars-Cov-2 Variants in Sewage Predicts Clinical Disease BurdenSemantic proximity Read ↗

Quantifying the relationship between SARS-CoV-2 wastewater concentrations and building-level COVID-19 prevalence at an isolation residence using a passive sampling approachSemantic proximity Read ↗

Detecting SARS-CoV-2 Variants in Wastewater and Their Correlation With Circulating Variants in the CommunitiesSemantic proximity Read ↗

SARS-CoV-2 Titers in Wastewater Are Higher than Expected from Clinically Confirmed CasesSemantic proximity Read ↗

An integrated framework for early detection and transmissibility assessment of emerging variants in wastewaterSemantic proximity Read ↗

Wastewater-based epidemiology predicts COVID-19 community prevalenceSemantic proximity Read ↗

Balancing Accuracy and Actionability: An Assessment of Minimal- Input Wastewater Models for COVID-19 PredictionSemantic proximity Read ↗

Hospital wastewater surveillance for SARS-CoV-2 identifies intra-hospital dynamics of viral transmission and evolutionSemantic proximity Read ↗

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

A Wastewater-Based Epidemic Model for SARS-CoV-2 with Application to Three Canadian CitiesSemantic proximity Read ↗

Wastewater monitoring of SARS-CoV-2 gene for COVID-19 epidemiological surveillance in Tucumán ArgentinaSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.