SF-RAD: COVID-19 Predictions from Wastewater

PROJECT TITLE: Development and Proof-of-Concept Implementation of the South Florida Miami RADx-rad SARS-CoV-2 Wastewater-Based Surveillance Infrastructure

Collaborators

The University of Miami and Weill Cornell Medicine are generating, standardizing, integrating, comparing, and making data available to the RADx-rad Data Coordination Center.

Project Aims

To optimize wastewater detection methods by improving sensitivity (enhanced detection and recovery) and specificity (viral strain identification for epidemiological tracking).

Manhole WG0K Daily Sampling Site

Daily Sampling air pollution and surface swabbing University of Miami Lakeside Village, Prof. Naresh Kumar

Daily Sampling Site ww Air Swabs

A-B Lab Setup 24-hour Experiment

Autosampler EXO Setup, SF-RAD: COVID-19 Predictions from Wastewater project, University of Miami

E-F Lab Setup 24-Hour Experiment

C-D Lab Setup 24-hour Experiment

This collaborative study between the University of Miami in Florida and Weill Cornell Medicine in New York will generate, standardize, integrate, compare and make available to the RADx-rad Data Coordination Center (DCC), SARS-CoV-2 human surveillance and wastewater quantification data with various sampling, processing, detection, and analysis approaches.

UM has also initiated a pilot wastewater monitoring program to quantify the RNA of SARS-CoV-2 in effluents from building clusters on its three campuses.

Weill Cornell Medicine (WCM) has established an international consortium for SARS-CoV-2 environmental surveillance (MetaSUB), including developing a metagenomic map of wastewater from cities around the world.

The project will make all data, results, and models available to the community, thus providing a critical contribution to the national SARS-COV-2 RADx-rad Wastewater Detection Consortium.

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