The SARS-COV-2 Environmental Surveillance Data Center project advances environmental surveillance in sewage and informs local and global efforts for developing surveillance systems for COVID outbreaks. The goal is to serve as the global knowledge network and repository of databases (geospatial and tabular) for organizations and individuals testing for SARS-CoV-2 in wastewater and other.
PATH, Michigan State University, KWR and Venthic are collaborating to build an infrastructure that will:
host and enable universal access for analysis of COVID in wastewater data from studies funded under this project and other non-funded studies;
take in COVID ES data, store it securely, conform the various data sources to a common standard, and make the standardized data publicly available through web-based visualizations and downloadable datasets;
visualize findings in a global map and also provide zoomed-in temporal visualizations to sampling and finding changes over time;
establish a searchable repository of published literature focusing on surveillance, sample processing and detection methods.