Wastewater-Based Epidemiology of SARS-CoV-2: Assessing Prevalence and Correlation with Clinical Cases

Wastewater monitoring of SARS-CoV-2 gene for COVID-19 epidemiological surveillance in Tucumán, Argentina

Wastewater-based epidemiology provides temporal and spatial information about the health status of a population. The objective of this study was to analyze and report the epidemiological dynamics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the province of Tucumán, Argentina during the second and third waves of coronavirus disease 2019 (COVID-19) between April 2021 and March 2022. The study aimed to quantify SARS-CoV-2 RNA in wastewater, correlating it with clinically reported COVID-19 cases. Wastewater samples (n = 72) were collected from 16 sampling points located in three cities of Tucumán (San Miguel de Tucumán, Yerba Buena y Banda del Río Salí). Detection of viral nucleocapsid markers (N1 gene) was carried out using one-step reverse transcription-quantitative polymerase chain reaction (RT-qPCR). Viral loads were determined for each positive sample using a standard curve. A positive correlation (p < 0.05) was observed between viral load (copies/mL) and the clinically confirmed COVID-19 cases reported at specific sampling points in San Miguel de Tucumán (SP4, SP7, and SP8) in both months, May and June. Indeed, the high viral load concurred with the peaks of COVID-19 cases. This method allowed us to follow the behavior of SARS-CoV-2 infection during epidemic outbreaks. Thus, wastewater monitoring is a valuable epidemiological indicator that enables the anticipation of increases in COVID-19 cases and tracking the progress of the pandemic. SARS-CoV-2 genome-based surveillance should be implemented as a routine practice to prepare for any future surge in infections.

Critical Needs for Integrated Surveillance: Wastewater-Based and Clinical Epidemiology in Evolving Scenarios with Lessons Learned from SARS-CoV-2

During the COVID-19 pandemic, wastewater-based epidemiology (WBE) and clinical surveillance have been used as tools for analyzing the circulation of SARS-CoV-2 in the community, but both approaches can be strongly influenced by some sources of variability. From the challenging perspective of integrating environmental and clinical data, we performed a correlation analysis between SARS-CoV-2 concentrations in raw sewage and incident COVID-19 cases in areas served by medium-size wastewater treatment plants (WWTPs) from 2021 to 2023. To this aim, both datasets were adjusted for several sources of variability: WBE data were adjusted for factors including the analytical protocol, sewage flow, and population size, while clinical data adjustments considered the demographic composition of the served population. Then, we addressed the impact on the correlation of differences among sewerage networks and variations in the frequency and type of swab tests due to changes in political and regulatory scenarios. Wastewater and clinical data were significantly correlated when restrictive containment measures and limited movements were in effect (ρ = 0.50) and when COVID-19 cases were confirmed exclusively through molecular testing (ρ = 0.49). Moreover, a positive (although weak) correlation arose for WWTPs located in densely populated areas (ρ = 0.37) and with shorter sewerage lengths (ρ = 0.28). This study provides methodological approaches for interpreting WBE and clinical surveillance data, which could also be useful for other infections. Data adjustments and evaluation of possible sources of bias need to be carefully considered from the perspective of integrated environmental and clinical surveillance of infections.

Occurrence of F-Specific Bacteriophages in Untreated and Treated Wastewaters in Mumbai

F + coliphages are considered as potential enteric viral indicators in water systems as a tool for on-site validation of wastewater treatment processes. The present study evaluated the occurrence of F + coliphages in wastewaters collected from three wastewater treatment plants (WWTPs) in Mumbai city, to assess this potential. The detection and enumeration of F + coliphages was carried out from WWTPs Z1, Z3 and Z5 using the ISO 10705-1 and U.S EPA 1601 methods. F + coliphages were majorly detected in untreated wastewater samples followed by a few secondary treated samples in WWTP-Z1 and Z3 and one tertiary treated sample from Z1, these differences were found to be statistically significant. The difference in F + coliphage levels between the treatment stages highlight their potential as indicators for monitoring the efficiency of wastewater treatment. The overall positivity of F + coliphage was 35.09% for Salmonella. typhimurium WG49 host (as per ISO 10705-1), was higher by 10.52% for Escherichia coli Famp HS host (as per U.S EPA 1601) (45.61%), highlighting the efficiency of the latter host over the former in F + coliphage detection. Significant difference in F + coliphage counts using the two bacterial hosts were observed in WWTP-Z3 (p = 0.001) and WWTP-Z1 (p = 0.047) but not in WWTP-Z5 (p = 0.332).

Supplementary Information

The online version contains supplementary material available at 10.1007/s12088-023-01181-7.

Lack of detection of SARS-CoV-2 in wildlife from Kerala, India in 2020-21

Spillover of SARS-CoV-2 into a variety of wild and domestic animals has been an ongoing feature of the human pandemic. The establishment of a new reservoir in white-tailed deer in North America and increasing divergence of the viruses circulating in them from those circulating in the human population has highlighted the ongoing risk this poses for global health. Some parts of the world have seen more intensive monitoring of wildlife species for SARS-CoV-2 and related coronaviruses but there are still very large gaps in geographical and species-specific information. This paper reports negative results for SARS-CoV-2 PCR based testing using a pan coronavirus end point RDRP PCR and a Sarbecovirus specific E gene qPCR on lung and or gut tissue from wildlife from the Indian State of Kerala. These animals included: 121 Rhinolophus rouxii (Rufous Horsehoe Bat), six Rhinolophus bedommei (Lesser Woolly Horseshoe Bat), 15 Rossettus leschenaultii (Fulvous Fruit Bat), 47 Macaca radiata (Bonnet macaques), 35 Paradoxurus hermaphroditus (Common Palm Civet), five Viverricula indica (Small Indian Civet), four Herpestes edwardsii (Common Mongoose), ten Panthera tigris (Bengal Tiger), eight Panthera pardus fusca (Indian Leopard), four Prionailurus bengalensis (Leopard cats), two Felis chaus (Jungle cats), two Cuon alpinus (Wild dogs) and one Melursus ursinus (sloth bear).