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Wastewater-based surveillance of SARS-CoV-2 is being developed and refined worldwide for early detection of COVID-19 disease outbreaks. An array of Shared Resources at the University of Miami, working closely with a multi-institutional group of investigators, helped establish and are providing coordinated support for a study on environmental monitoring of SARS-CoV-2, including surface, air, and wastewater-based sampling. This study is a collaborative effort between researchers at the University of Miami and Weill Cornell Medicine. The goals of this study are to generate, optimize, standardize, and compare SARS-CoV-2 human and environmental surveillance with various sampling, processing, detection, and analysis techniques. The environmental viral surveillance data is being integrated with community and hospital COVID-19 disease prevalence, with the aim of developing predictive models of local and community level spread of the disease. The results from this effort are informing public health strategies on local and community levels and may serve as a model more broadly for other existing and emerging pathogens. We present here lessons learned, current results, and future directions. Speakers: Helena Solo-Gabriele, Ph.D., P.E. Professor, Civil, Architectural & Environmental Engineering Associate Dean for Research College of Engineering, University of Miami Stephan Schürer, Ph.D. Professor, Pharmacology Associate Director, Data Sciences Sylvester Comprehensive Cancer Center Miller School of Medicine, University of Miami Christopher E. Mason, Ph.D. Professor, Physiology and Biophysics Director, WorldQuant Initiative for Quantitative Prediction Weill Cornell Medicine, Cornell University George S. Grills Associate Director, Shared Resources Sylvester Comprehensive Cancer Center Miller School of Medicine, University of Miami