Abstract

Given the known presence of SARS‐Cov‐2 in wastewater, stemming disease spread in global regions where untreated effluent in the environment is common will experience additional pressure. Though development and preliminary trials of a vaccine against SARS‐CoV‐2 have been launched in several countries, rapid and effective alternative tools for the timely detection and remediation of SARS‐CoV‐2 in wastewater, especially in the developing countries, is of paramount importance. Here, we propose a promising, non‐invasive technique for early prediction and targeted detection of SARS‐CoV‐2 to prevent current and future outbreaks. Thus, a combination of nanotechnology with wastewater‐based epidemiology and artificial intelligence could be deployed for community‐level wastewater virus detection and remediation.