In this context , the main objective of the present work was to develop parametric and nonparametric statistical models useful to determine the entire SARS - CoV-2 infected population , including symptomatic and asymptomatic people , by tracking the viral load present in the wastewater of the Bens wastewater treatment plant that serves the metropolitan area of A Coruña with near 370,000 residents , without the need of health system data or the number of positive people reported , and obtaining information from population - based seroepidemiological surveys developed in Spain ( this represents a contribution with respect to other models ) . The pursuit of this objective has a public service motivation . At this regard , it is important to note that this research , in the framework of the COVIDBENS project , had high social impact and it was one of the precursors of this type of monitoring in Spain , for the surveillance of SARSCoV-2 in wastewater . COVIDBENS currently provides a public service through weekly reports to municipalities , public health and regional administrations ( SERGAS , Xunta de Galicia ) for surveillance and early warning tasks .