Understanding SARS-CoV-2 Infection and Dynamics with Long Term Wastewater based Epidemiological Surveillance

Tharak, A.; Kopperi, H.; Hemalatha, M.; Kiran, U.; Gokulan, C. G.; Moharir, S.; Mishra, R. K.; Venkata Mohan, S.

Wastewater-based epidemiology (WBE) of SARS-CoV-2 emerged as an advantageous method to study the infection dynamics at substantial population level A temporal glimpse at sewage viral genome helps as diagnostic tool to understand the viral spread at community level. In this study for the long-term epidemiological surveillance we monitored the SARS-CoV-2 genetic material in domestic sewage by adopting the longitudinal sampling to represent a selected community (~1.8 lakhs population which occupies 1.79% of the total population of Hyderabad city) to understand the dynamics of infection Dynamics and spread of COVID-19 outbreak within the selected community were achieved by studying the longitudinal sampling for a specific period of time WBE also promotes clinical scrutiny along with disease detection and management in contrast to an advance warning signal to anticipate outbreaks