Abstract
Coronavirus disease caused by the SARS-CoV-2 virus has emerged as a global challenge in terms of health and disease monitoring. COVID-19 infection is mainly spread through the SARS-CoV-2 infection leading to the development of mild to severe clinical manifestations. The virus binds to its cognate receptor ACE2 which is widely expressed among different tissues in the body. Notably, SARS-CoV-2 shedding in the fecal samples has been reported through the screening of sewage water across various countries. Wastewater screening for the presence of SARS-CoV-2 provides an alternative method to monitor infection threat, variant identification, and clinical evaluation to restrict the virus progression. Multiple cohort studies have reported the application of wastewater treatment approaches and epidemiological significance in terms of virus monitoring. Thus, the manuscript outlines consolidated and systematic information regarding the application of wastewater-based epidemiology in terms of monitoring and managing a viral disease outbreak like COVID-19.
1. Introduction
COVID-19 has emerged as a serious infectious disease emerged as a result ofSARS-CoV-2 virus (severe acute respiratory syndrome coronavirus 2) outbreak. COVID-19 infection was observed for the first time in Wuhan, the capital of Hubei Province, China [1]. Subsequently, the virus transmission led to a global outbreak casuing a pandemic situation as declared in March 2020 by the World Health Organization (WHO) [2,3]. The SARS-CoV-2 is mainly enveloped and harbors a positive-sense single-stranded RNA with agenome similarity of 82% on comparing with SARS-CoV- 1 [4]. COVID-19 covers a range of infection including asymptomatic, mild and/or severe pneumonia that might also cause severe organ malfunction [5,6]. The binding receptor for SARS-CoV-2 is ACE2 followed by receptor-mediated endocytosis leading the development of the infection [7]. Host receptor ACE2 is expressed in the gastrointestinal lining allowing the phenomenon of viral replication [8]. On clinical evaluation, the SARS-CoV-2 expression was reported in the gastrointestinal lining [[9], [10], [11]]. Clinical stool samples of GI infected patients were tested positive for SARS-CoV-2. Notably, the screening-detected significant positive cases in most of the patient samples with significant RNA copies in the late phase of the COVID-19 infection [[12], [13], [14]]. Mostly common source considering the pool screening of SARS-CoV-2 RNA is wastewater. Wastewater is a form of polluted water comprising the man-made generated waste particles and rainwater runoff leading to the formation of sewage. The classification of wastewater is based on the form of waste generation, specific source, domestic and industrial sewage. On separating the inactivated virus from the wastewater, low level of persistence might also lead to recurrence based on their survivability in the wastewater facilities, stormwater and contamination of drinking water [105]. Wastewater contains a wide range of contaminants/pollutants that are characterized on the basis of physical, chemical, and biological particles. Moreover, the concentrations and physicochemical characteristics of these substances are dependent on the source of origin. Domestic sewage is a heterogeneous mixture comprising water saturated with organic and inorganic entities and diverse pathogenic microbes (US EPA 2003). Moreover, the pathogenic microorganisms also include different strains of bacteria, viruses and parasites that can lead to the development of numerous diseases (see Fig. 1 ).
Fig. 1.
Schematic representation of workflow for screening of SARS-CoV-2 in waste water samples.
Wastewater-based epidemiology (WBE) an emerging approach has been under consideration for regulatory monitoring of pollutants and specific biomarkers accumulated in wastewater followed by the qualitative and quantitative analyses of the inhabitant's activity in a particular wastewater catchment. WBE is useful in determining the substance usage and exposure in case of environmental pollutants and estimated prevalence of a range of diseases based on the wastewater constituents including biomarkers and environmental pollutants [15]. Several studies have reported the persistence of SARS-CoV-2 in the clinical samples for a specific period of COVID-19 in the wastewater, including countries like USA, Australia, France, Spain, Italy, India and China [16,17,[19], [20], [21],118]. WBE application to screen the prevalence of SARS-CoV-2 has been investigated for dynamic monitoring and preventing community based outbreak of the virus infection. Earlier, WBE application has shown positive detection to screen the virus associated pathogens [22,23], including the WHO acute flaccid paralysis program (https://apps.who.int/iris/handle/10665/67854; https://www.who.int/wer/2015/wer9021/en/) [24]. The presence of SARS-CoV-2 RNA in wastewater with the support of multiple studies has highlighted the significance of viral circulation throughout the pandemic period, including the monitoring of pre-and post-lockdown phase. Mostly, the qualitative analysis reported the prevalence of the virus based on the site-specific incidences, proceeding from 7 to 21 days with a major outbreak of the new COVID-19 infection in the population. But, the quantitative evaluation for screening the virus was mainly dependent on clinical studies. Hence, clinical investigations were performed with the screening of fecal matter based on infection outbreaks and specific population sites. Incidence of gastrointestinal symptoms was reported in two independent cohort studies with 19.4% showing diarrhea-like symptoms in the initial phase [25]. Further, a cohort study confirmed half of the positively infected patients shed the virus in the fecal matter followed by wastewater screening [26]. Moreover, the virus was detected in both asymptomatic and symptomatic people, and further evaluation assessed the presence of the SARS-CoV-2 RNA copy in the feces compared to the negative respiratory swab test reports [27]. The confirmatory presence of virus RNA was reported in 10.1–82.0% patients based on clinical investigation of the fecal swabs [[28], [29], [30], [31]] compared to respiratory swabs which tested negative or undetected for SARS-CoV-2 [30]. Virus quantification of the clinical specimens revealed a high genome copy number (108 copies/swab) along with the high values at the end or late phase of infection [[32], [33], [34]]. The time period for determining the nucleic acid quantitatively varies among cohort, but prolonged RNA with respect to infection monitoring has been highlighted for a time period of 33 days after the onset of the infection manifestation [30,35,36]. On the contrary, some studies found that the quantitative estimation of virus in the fecal sample was not in proportionate with the infection distribution among the population considering the degree of infection [37,38]. Studies have provided the insights of virus RNA copies in the stool based on clinical sampling and testing [39,40], but many remained undetected even when the infection is positive for the individual. The survival period of the virus in the gastrointestinal system depends on facilitative persistence over the respiratory system based on the ACE2 expression in intestinal enterocytes and low viral clearance [41]. Further, the fate of SARS-CoV-2 in the treatment plants is crucial in terms of virus inactivation which includes different stages of water treatment to ensure effective control management and prevent further occurrence of the outbreak [97]. The screening of SARS-CoV-2 survivability in the wastewater, fecal and oral mode of transmission, and estimation of viral-titer will also improve the method of clinical evaluation. Hence, the application of WBE in determining the infection load can improve the health-based pandemic control and upscale preventive measures to restrict the spread of variant-based outbreaks in the community.
1.1. WBE application in SARS-CoV-2 surveillance
WBE monitoring is based on the detection of genome of SARS-CoV-2 especially the virus RNA in the wastewater in determining the virus presence and severity of infection in a particular population [42]. The feasibility of WBE is dependent on wastewater screening which is a composite source of biological samples restricted to an entire community. Several WBE studies have drawn the attention towards the prevalence of SARS-CoV-2 genomic copies in the wastewater in the preliminary phase of the virus infection [18,24,64]. WBE could be especially informative provided that asymptomatic and mild to moderate COVID-19 infections are unlikely to be tested positive in the clinical surveillance. In such case, evaluation of positive cases out of the total sample depends on mathematical calculations with specific models. The models are proved to be efficient in monitoring the dynamics of disease outbreak as well as management. Hence, WBE can be applied to estimate the load of undiagnosed infections at the community level with the help of mathematical models, and also refining the estimated case-fatality rates with respect to infection load in the community.
Based on clinical investigations and technological methods, WBE could play a significant role in regulatory assessment of SARS-CoV-2transmission based on community level monitoring in the initial phase, exponential, and re-emergence phase at epidemic level. This particular approach underscores the earlier measures in environmental monitoring, like poliovirus RNA, to delineate mechanistic models of pathogen transmission [119]. In WBE approach, the prevalence of SARS-CoV-2 infections in a population could be detected by enumerating the SARS-CoV-2 RNA confined to a particular sewage site followed by determination of mass balances based on virus shedding with the help of population and sewage flow rate data sets. Moreover, the specificity still requires to be modified based on the nature of the virus strain and target gene. Thus, the information can further be forwarded to public health responses to restrict or prevent the outbreak.
The current pandemic provides a practical opportunity to field-test the hypothesis of WBE application based testing and infection control to prevent further transmission in the population. Several research groups across the globe have implied the significance of WBE in controlled monitoring of the virus spread. Moreover, quantitative analyses of virus RNA in sewage and human infections are dependent on certain spatial and temporal variables. Significantly, the quantitative analyses should be examined in urban sites with centralized wastewater facilities rural sites and low-income zones with decentralized wastewater infrastructure. Assessment of variables and uncertainty in the diverse wastewater sites require the systematic approach and validation of methodologies across research groups. Moreover, to improve the potential WBE applications, a comprehensive effort to coordinate technological settings and data enumeration can be established to maximize the yield efficiency of WBE for the present and future outbreaks of infectious diseases.
Comparative analyses of WBE assessment is dependent on a standardized approach comprising a robust sample designing, techniques to improve viral recovery and estimation followed by virus RNA detection from the wastewater [64]. To delineate the viral recovery and significantly determine the prevalence of virus RNA in wastewater for WBE, a control for the recovery of virus is important. The control is mainly a non-SARS-CoV-2 virus introduced in a sample of wastewater with predetermined concentration before the screening of the sample. Further, evaluating the result of the virus recovery with respect to SARS-CoV-2 presence was performed with the technical support and laboratory procedures across different laboratories. The Water Research Foundation (WRF) further supported a cohort study comprising 32 different laboratories in the U.S. including a set of 36 individual standard operating procedures [59]. But, the recovery analyses prevailed insignificant on comparing due to the inclusion of different set of preparation procedures. Generally, multiple WBE preparation for SARS-CoV-2 analyses have not included control recovery group and data information related to the recovery based experiments. Kantor et al., 2021 further proposed the obstacles associated with the quantification of SARS-CoV-2 RNA recovery from the collected sample and highlighted the requirements for clinical investigations [58].
1.2. Survivability of SARS-CoV-2 and its transmission through wastewater
Individuals infected with SARS-CoV-2 progressively because the shedding of the virus during the recovery and/or post recovery period which is associated with the virus RNA concentrations in wastewater. The RNA concentration can be assessed as an indicator to determine the infection load particularly for monitoring purpose. However, the quantitative assessment of evaluating a community's viral load and the advantage to public-health policy and local governance decisions is strongly inclined towards constant sewer shed RNA level monitoring. On the basis of reduced RNA level concentrations, wastewater-based epidemiology can once again be applied as an indicator of a resurgence of the viral transmission. The SARS-CoV-2 virus shedding through fecal matter is known, but it is in still not known regarding the nature of the shedded virus i.e chances of infectious state and the period of retaining the infectious state in the wastewater. Reports have suggested that an individual infected with SARS-CoV-2 can shed more than million copies of viral genome per litre of the wastewater [16]. The virus is enveloped, quite unstable in water and susceptible to inactivation. Viability analyses have highlighted the presence of SARS-CoV-2 in the fecal sample for 2–6 hrs at room temperature and more than 48 hrs in the fecal matter of children [42]. Further, research studies have estimated the survival of SARS-CoV-2 i.e. survival up to 3–4 hrs in the urine sample was reported in COVID-19 infected individual [43]. The COVID-19 infection based on shedding of the virus along with water contamination implies the uncertain route of fecal-oral transmission of the virus [44]. But, estimation of infection requires specific mathematical models to delineate the trend in infections and proper monitoring of the outbreak. Krivoňáková et al., 2021 discussed the application of regression models like simple linear, double squared root, and square root-Y logarithmic-X to study the association of wastewater data with the data of SARS-CoV-2 infection [110]. Similarly, Ahmed et al., 2020a mentioned a mathematical approach to estimate the rate of infection based on wastewater screening [17]. The estimated number of viral RNA copies/g of feces was reported to be 107 [45,111]. Another approach was applied based on RNA copy number per litre of wastewater with respect to RNA copy numbers released per person to the sewage water [[112], [113]].Wastewater samples were tested for the presence of SARS-CoV-2 on different time periods by targeting the viral E and RdRp gene with the application of RT-qPCR which reported a high concentration of viral load was estimated in the study [18]. Survival quantification for the water site or zone of water-linked virus accumulation estimated 1.6–2.1 days at a standard temperature [45]. Notably, the viability of the virus in wastewater has been explored under the conditions of low temperature [46,47]. The virus RNA concentration based on different categories of water background determines the estimation of copy number in association with the trend in infection rates including the variants of concern. The viability depends on several factors including temperature, diverse pool of microorganisms, and organic matter in the wastewater. On evaluation, it was reported that the sludge from the wastewater can be primarily monitored for screening of the virus. For quantification the concentration of the virus was measured under different wastewater treatment conditions. Specifically, a high copy number was observed in both types of sludge including primary and thickened compared to the influent wastewater [48]. The survival of the virus subjected to different wastewater treatment methods can also act as a source of contamination and transmission depending upon the efficiency of the treatment approach. Hence, the virus load in the wastewater matrices should also be considered prior to and after the treatment to assess the specific survivability to determine the threat of virus infection in a particular zone or area. The World Health Organization has highlighted the importance of tap water treatment in virus inactivation, emphasizing the susceptibility of pathogens towards chlorination and ultraviolet based disinfection. Similar methods with improved filtering capacity can be applied to restrict the transmission of corona viruses through treatment plants. Multiple reports that have suggested the importance of different stages of waste water treatment approaches to limit the viral load compared to the initial concentrations. These approaches mainly includes anaerobic system, moving bed biofilm reactor, sequencing batch system, secondary treatment along with tertiary disinfection methods using peracetic acid, high-intensity UV lamps, or chlorine [89].These treatment methods reduced the concentration of viral copies from high copy load to an estimated level of 102–105 copies per litre. Moreover, chlorine based disinfection method is also recommended for effective elimination of the virus comprising the aqueous phase of the influent; however, the stool particles consisting the SARS-CoV-2 virus were considerably not susceptible to chlorine disinfection compared to aqueous phase [[49], [50], [51], [52], [53]]. In course of detecting the virus several concentration methods have been applied to target the virus genes and further estimate the virus copy number in the wastewater (Table 1, Table 2 ).
Table 1.
Application of different concentration methods to screen the SARS-CoV-2 virus in wastewater.
| Country | Type of Wastewater | Virus Concentration Method | Virus Target Gene | Copy Number/Concentration per Litre | References |
|---|---|---|---|---|---|
| India | Untreated Wastewater Untreated Wastewater |
PEG Precipitation PEG Precipitation |
ORF1 ab, N, S ORF1 ab, N, S, E, RdRP |
8.05 X 102 – |
[88,89] |
| China | Untreated and Treated Wastewater | PEG precipitation | ORF1, N | – | [85] |
| USA | Untreated Wastewater Untreated Wastewater |
PEG precipitation (PEG 8000) Ultrafiltration and Adsorption |
N1, N2, N3 ORF 1a, S |
60-300 copies 4 × 103–7 × 103 |
[35,122] |
| Australia | Untreated Wastewater | Ultrafiltration | N | 2 × 101–1.4 × 102 |
[86] |
| France | Untreated and Treated Wastewater | Ultracentrifugation | RdRP, E | 5 X 104 | [18] |
| Germany | Untreated Wastewater | Electronegative membrane filter | ORF1 ab, N, S | 3.9 X 1011–1.2 X 1015 | [123] |
| Spain | Untreated Wastewater Untreated Wastewater |
Aluminum hydroxide adsorption-precipitation Aluminium flocculation and precipitation |
N N |
1.4 × 105–3.5 × 105 104–105 |
[80,124] |
| Italy | Untreated Wastewater Untreated Wastewater |
PEG precipitation Ultrafiltration |
ORF 1 ab ORF ab, N |
– – |
[19,125] |
| Israel | Untreated Wastewater | PEG and Alum precipitation | E | – | [87] |
| Iran | Untreated Wastewater | PEG precipitation (PEG 6000) | ORF 1 ab, N | – | [126] |
Table 2.
Clinical evidence of SARS-CoV-2 screened from wastewater across different countries from the year 2020–2021.
| Country | Month/Year | Sample | Analysis | References |
|---|---|---|---|---|
| India | June/2020 | Wastewater from hospital |
|
|
| Brazil | May/2020 | Wastewater |
|
|
| USA | March/2020 | Urban treatment plant, wastewater from catchment points |
|
|
| Netherlands | March/2020 | Wastewater |
|
|
| France | July/2020 | Wastewater treatment plant |
|
|
| Germany | April/2020 | Wastewater treatment plant |
|
[81] |
| Italy | April/2020 | Wastewater |
|
|
| China | July/2020 | Septic tanks |
|
[85] |
| Bangladesh | August/2020 | Wastewater |
|
|
| Australia | April/2020 | Wastewater |
|
[86] |
| Israel | Not reported | Wastewater |
|
|
The approved guidelines for the disinfection of wastewater based on WHO or China Centers for Disease Control and Prevention recommendations may require to be improvised. According to the relative vulnerability of the virus, present wastewater procedures may require to improve in order to reduce the inefficiency in reducing the virus concentration to a protected virus copy numbers. Even after the application of wastewater treatment procedures, the remaining population of 1.8 billion still susceptible to the fecal-contaminants as a source for infection. For example, wastewater disinfection in India is only half compared to the volume of wastewater generated per day. In order to screen the wastewater for SARS-CoV-2 a standard method like RT-qPCR was practiced for detection and monitoring. The RT-qPCR based detection was mainly based on targeting the protein encoding genes including E, N, S, and also ORF1ab/RdRp [106].The cycle threshold (Ct) for targeted genes was less than 31 for most of the positive cases corresponding to the test of RT-qPCR [107]. Further, quarantining infected individuals may not reduce the mitigate risk based on improper disinfection of the wastewater [54]. Hence, clinical data related to WBE and its association with SARS-CoV- 2 has unfolded the significance of infection susceptibility and transmission through wastewater.
Comparatively, wastewater treatment has been mostly regulated with respect to the reduction of enteric viruses (non-enveloped) which also spreads through fecal-contamination, but stringent rule lack regarding enveloped virus treatments. However, non-enveloped viruses are associated with high risk compared to viruses like SARS-CoV- 2, which comprise an envelope. Wigginton et al., (2015) justified, “Based on the cumulative survivability data, it is plausible that an enveloped virus excreted in human feces or urine could survive in aqueous environments for periods of time that is relevant to the wastewater and prior to its treatment”. Higher levels of infective viruses would be expected in a wastewater treatment plant influent when there is a large incidence rate in the community and when wastewater temperatures are cooler” [55].
The susceptibility of SARS-CoV-2 infection based on the commercial application is also related to the persistence of the virus in the wastewater during the treatment process until the phase of water consumption by the humans. The detection of SARS-CoV-2 in feces depends on the duration of survival including the exposure period of the temperature and treatment conditions. Notably, the survivability of the virus is significantly higher until the wastewater treatment. Although the efficiency of wastewater treatment in reducing the virus concentration lack prominent evidences, clinical reports published indicate that the present treatment method reduces the viral load below the detectable concentrations. The discharge of treated wastewater into the open spaces or surface waters followed by the participation of human activities i.e drinking water usage improves the survival of the virus irrespective of the treatment process.
The risk of infection transmission before the arrival of the wastewater in the sewer lines lies in different sites including residential places, hospital areas, as well as the healthcare settings based on the interconnected pipelines of the plumbing system. Even aerosols harboring the virus can pass the building sites, without any barrier [56]. The contamination of surface runoffs or consumable water with SARS-CoV-2 can also be assessed for quantification and in application to indicate the risk of virus spread in the particular zone. Hence, the significance of wastewater with respect to SARS-CoV-2 transmission and effective disinfection approaches through wastewater treatment requires clinical studies for the recommendation of WBE for the monitoring purpose of COVID-19 infection.
1.3. WBE application in screening of SARS-CoV-2
Due to the limitation of well defined approaches, WBE linked SARS-CoV-2 monitoring is comprehensive and requires clinical and technological expertise [[57], [58], [59]]. The WBE approach requires wastewater sampling, extraction of viral RNA, viral load determination followed by data analysis. Generally, untreated wastewater and primary sludge are two sources for sampling and testing of wastewater. Investigations reported a higher virus RNA concentration by the two-three folds on the clinical sampling of primary sludge compared to untreated wastewater [57,60,61]. Hence, primary sludge can be screened for concentrating and detecting the virus based on reduced volume and low inhibitory factors which might hinder the concentration determination requirement for sampling purposes. The frequency of sampling further requires the estimated range to assess the virus detection through WBE approach. Moreover, screening the samples once or twice in a week for the screening of the virus SARS-CoV-2 in wastewater may be sufficient, while the dynamics in infection rate could indicate early warning of the infection. The dynamics in infection rate including the factors like virus RNA stability, persistence, the effect of temperature, and relative proportion after the lockdown was clinically evaluated [[98], [99]]. A study based on the application of wastewater screening highlighted change in virus concentration in association with the dynamics of epidemic stages [57,62].
According to the guidelines of Centers for Disease Control and Prevention (CDC) the clinical sample of the virus should be maintained at 4 °C and further the viral assays should be performed within 24hours. The viral aliquots should be maintained at −70 °C and limit the frequent cycles of freeze thaw. Few reports demonstrated the stability of virus RNA at 4 °C for a period of 14 days [63]. A study reported the decay of virus RNA through linear decay graph study at 4 °C within a period of 28 days in simulated wastewater samples comprising the virus from the nasopharyngeal swab of an infected patient [120]. Hence, it is highly recommended to process the sample in a period of 48–72 hrs to prevent the degradation viral RNA in wastewater [64].
Wastewater consists of a heterogeneous mixture of chemical and biological compounds, which not only reduces the viral recovery but also leads to poor reproducibility leading to the hindrance of efficient screening and quantification of virus RNA from the wastewater samples. External matters and dissolved constituents that forms the concentrated part of the sludge through water way reduces the efficiency of downstream process of viral RNA extraction and detection. The concentration procedures should be simple, rapid, effective and inexpensive and should be able to filter out enormous amounts of wastewater. For example, precipitation through polyethylene glycol, aqueous two-phase partitioning (PEG-Dextran system), application of electronegative membranes (EM), ultrafiltration, and ultracentrifugation are all common concentration procedures for SARS-CoV-2 by WBE. Clinical evaluations were performed with the help of ultracentrifugation by targeting the inactivated SARS-CoV-2 virus. For example, the Amicon Ultra-15 method was applied to screen inactivated SARS-CoV-2 virus [104], murine hepatitis virus [101], and bovine coronavirus [102]. Similarly, Centricon Plus-70 was applied to screen inactivated SARS-CoV-2 [104], F- specific RNA phage [79], and bovine coronavirus [103]. Further, precipitation and membrane adsorption with AlCl3 and MgCl2 was performed to recover the inactivated SARS-CoV-2 virus [104]. Also, PEGylated precipitation was performed to recover the inactivated SARS-CoV-2 virus, bovine coronavirus, gamma-irradiated SARS-CoV-2 virus [104].
1.4. SARS-CoV-2 RNA extraction from wastewater
The RNA extraction from the SARS-CoV-2 virus involves major steps including envelope disintegration followed by extraction and purification of RNA from DNA and proteins [65]. The envelope disintegration can be achieved through different approaches like mechanical, chemical, or enzymatic methods [[65], [66], [67]]. Further, the stability of the genome also depends on the pH, ionic strength, and RNA degrading enzymes like RNAses. Hence, the purification step is crucial with respect to RNA integrity and preventing RNA degradation. Notably, the phenol-chloroform method and/or solid-phase extraction process are significantly implemented for virus RNA purification from the samples of wastewater.
1.5. Application of PCR method to screen SARS-CoV-2 RNA and proteins
Screening of the virus RNA can be achieved with the application of exponential amplification studies. Zheng et al., (2020) proposed the application of molecular biology approaches like PCR specifically, RT-qPCR for the detection of SARS-CoV-2 [68]. TheRT-qPCR method mainly targets the structural protein encoding genes like envelope, nucleocapsid, spike and RNA-dependent RNA polymerase along with other regions, for example open reading frame 1ab (ORFab). A protocol has been recommended to screen the SARS-CoV-2 virus based on the recommendations of WHO (https://www.who.int/docs/default-source/coronaviruse/whoinhouseassays.pdf). Notably, the E and N genes are mainly targeted for the virus detection based on their conserved sequence in many corona viruses. Nevertheless, the S and RdRp genes are specific to the virus. Hence, both or single gene screening may be significant for the detection of the SARS-CoV-2 RNA from the rest of the corona viruses [69].
Further, screening of different genes may also improve the viral assay specificity and efficiency with a reduction in the errors for the identification of uncharacterized virus genome or the virus. Subsequently, with the rise of new SARS-CoV-2 variants comprising alpha, beta, gamma, and delta, it is important for wide application RT-qPCR method based on its property of quality detection and to differentiate different SARS-CoV-2 variants at the scale of community surveillance. But, still significant improvements are required in RT-qPCR assays in terms of sensitivity and specificity in differentiating the predominating variants compared to other viruses in the wastewater. An alternative to RT-qPCR research groups have demonstrated the sensitivity of droplet digital PCR for SARS-CoV-2 screening. A cohort study with digital PCR reported low assay limit of detection compared to RT-qPCR [108]. In addition, the performance of ddPCR was not affected by the potential PCR inhibitors present in the wastewater sample, and demonstrated higher analytical output with limited false reports compared to RT-qPCR [94]. Heijnen et al., 2021 has shown the efficiency of ddPCR in SARS-CoV-2 detection based on a single amino acid substitution. The mutation resulted in asparagine to tyrosine substitution at 501 position resulted in higher binding affinity of SARS-CoV-2 towards ACE2 receptor, and the variant further came to known as B.1.351 [95]. The study included a differential detection of the B.1.351 variant from the wild type, and finally, ddPCR efficiently detected the low concentration (0.5%) of B.1.351 variant from the heterogenous mixture of the wastewater sample [95]. Similar test was performed to detect the B.1.1.7 variant proportion in the wastewater collected from cities like Amsterdam and Utrecht. Further, ddPCR was applied to detect different variants of SARS-CoV-2, and to the analysis it was proved to be better and efficient compared to the RT-qPCR based SARS-CoV-2 screening. Subsequently, a comparative study between ddPCR and RT-qPCR with the SARS-CoV-2 positive patients was performed after taking the swabs from the rhino-pharyngeal site. The sample dilution for RT-qPCR was 1:10 and sequenced against CDC-validated SARS-CoV_N1 primers. Comparatively, samples for ddPCR were 1000 fold diluted which was higher than RT-qPCR. Subsequently, ddPCR was found to be highly sensitive and robust than RT-qPCR. Notably, the linear regression study highlighted the less susceptibility of ddPCR (r2 = 0.9420) towards inhibitory factors of PCR compared to RT-qPCR (r2 = 0.0919) [96]. The ddPCR reported positive for SARS-CoV-2 in the undiluted as well as the samples with tenfold dilutions, which was not observed in RT-qPCR [96]. Hence, the accuracy and efficiency of ddPCR based approaches can be applied to quantify the SARS-CoV2 rapidly.
1.6. Interpretation
In clinical studies, the rate of viral shedding and associated parameters are significant because any kind of change in a variable factor might provide error-prone data-based sampling, specific stages of infection, rate of transmission, viral load, calibration of virus genome copy numbers, infection threshold and difference in a particular or combined community. The calibration of genome copies of SARS-CoV-2 per litre in the sample wastewater, the significant proportion of affected individuals or the prevalence of the infection can be estimated. Further, calibration of genome copies of SARS-CoV-2 per litre in the sample wastewater including variable factors should be considered for screening and clinical evaluation of the infection. But, the calibration curve determination for viral studies is should be independent of the recovery rate. Moreover, the percentage of viral infection in a certain population depends on the estimated viral loads, rate of transmission, and the significant RNA concentration in the fecal matter of the affected population as well as the measured regular generation or collected pool of stool per capita.
Once the virus genome is quantified with the application of RT-qPCR, specific Ct value can be further assessed for estimating the virus titer per unit of sample wastewater or even samples taken from sludge output based against a specific standardized curve. The template volume of the template used for amplification is calculated considering the conversion factor and also the RNA recovery. The quantification of the RNA copy number per unit of wastewater sample was mainly determined by RT-qPCR. The virus concentration estimated by comparing the Ct value of the pool sample against a standardized curve with respect to a specific assay on comparing with a positive control provided the specific dilution required for amplification. Further, a standardized curve is prepared by using a control with six times dilution for the determination of minimum detection limits (MDL) per unit amplification reaction followed by the evaluation of the efficiency of the reaction.
1.7. Protein based SARS-CoV-2 screening
The SARS-CoV-2 virus screening can also be performed by targeting specific proteins based on the concentration and stability of the proteins [70]. Mainly, the structural proteins along with other nonstructural proteins can act as a plausible target for viral detection. The nucleoprotein can be considered for clinical testing, but it is also limited due to the common nature of the gene throughout the corona virus family. The alternative target can be the S protein based on its sequence divergence among the viruses of the family. Specifically, the S protein is important for the virus to enter the host via the ACE2 receptors. Hence, it facilitates the virus infection and acts as clinical target for vaccine development [121]. Although protein-based detection is limited because of the change in the nucleic acid sequence which can be advanced through primers or targeted regions, but not similar to antibodies for protein detection.
Application of affinity ligands bearing high specificity and sensitivity can be implied for screening, like, ELISA based detection method. Rapid antigen based method to detect the virus in the clinical samples. Moreover, antibodies were tested against the viral nucleoprotein through Western Blots in order to create a multiplex paired-antibody amplified detection (MPAD) assay for detecting the virus [71]. But, still more evidences are required to design the target specific ligands with optimum specificity and affinity for screening the persistence of SARS-CoV-2 in the wastewater.
1.8. International surveillance on WBE based screening of SARS-CoV-2
Virus shedding and screening through WBE method has been practiced on different time periods of the pandemic waves as well as lockdown episodes. The genome copy numbers were detected in the catchment points comprising drain outlets and sewage water. Notably, the majority of the countries initiated the monitoring of WBE in the first quarter of 2020. A first clinical surveillance study showed the prevalence of the virus RNA in the wastewater sample upon investigation in Niteroi municipality of Rio de Janeiro, Brazil. The screening of wastewater reported a viral load of 41.7% in the sample pool which later showed higher prevalence with 100% RNA load during the period of April to May 2020 [72]. Similarly, positive cases were observed in the wastewater collected from six major six cities of the Netherlands, targeting three nucleo capsid genes followed by the gene encoding envelope protein. The RT-qPCR reported significant expression of targeted genes in the sample validating the presence of positive cases in the particular zonal region [79]. In Australia, viral RNA quantification revealed a positive rate of 22.2% in the wastewater collected from Queensland in the month of March and April [86]. The wastewater samples collected from the urban treatment plant of Massachusetts were screened to detect the virus RNA by targeting the N gene with the help of RT-qPCR followed by the S gene validation. Significant expression of the viral RNA was reported during the period of March 2020 validating the sequential event of higher positive cases clinically reported in Massachusetts [75]. In the USA, the WBE was conducted within a population of 2 million confined to some selected cities. Further, high gene expression was reported in the wastewater samples collected from the outlets of water treatment sites, influent catchments, and interceptor points. The RT-qPCR results revealed a 40% positive case of virus genome which showed significant association with the high incidence of virus infection cases including Syracuse and other locations like Onondaga County in May 2020 [76].Similarly, primary sludge in the urban treatment plant of New Haven, Connecticut was tested for the viral load. The virus RNA concentration per unit volume was reported to be 1.7 to 4.6 x 103where approximately 96.5% of all CT values were less than 38 for the primer sets against specific nucleoprotein as well as both replicates [77]. Further, WBE was also performed within a range of 74 days in the City of Bozeman, Montana. The virus RNA concentration was tested based on the onset of positive cases and post incidence of infection cases. A clinically relevant surge was not reported in the period of April to May 2020, but a specific surveillance system based on RT-qPCR was reported in the study [78].
WBE method of surveillance for SARS-CoV-2 RNA was also conducted in different parts of the European continent. In France, significantly higher expression of virus genome was found in the wastewater collected from the treatment sites of Paris and Montpellier. Notably, a high copy number of RNA was reported in the study, but a significant correlation was not present including the period of the pandemic surge and post-lockdown [100].
Similar application of WBE in Germany demonstrated the trend of high RNA concentration by screening the wastewater collected from treatment plants of nine different cities during the onset of first wave of COVID-19. Based on sequencing and statistical analyses a strong correlation was reported between high virus genome copies and incidences of COVID-19 infection from specific collection catchment points [81]. Further, half of the clinical sample collected from different parts of Milan and Rome presented higher number of virus RNA copies [82]. Also, molecular epidemiological studies validated the prevalence of the virus by screening the wastewater for the genome expression collected from Milan, Turin, and Bologna in the early phase of the pandemic [83]. WBE studies conducted in China showed varied survivability of SARS-CoV-2. A surge in copy number of RNA was reported in aerosols and wastewaters near hospital zone restricted for treating COVID-19 patients. The surge in RNA was a result of viral spillover from the hospital environment in the form of respiratory droplets and significant patient load near the water sites of the hospital [84]. Also, elevated virus load of (0.5–18.7) × 103 copies/L was reported in the septic tanks of Wuchang Cabin Hospital even after disinfection [85]. The Noakhali district in Bangladesh bearing the highest load of infection reported the prevalence of higher virus RNA copy numbers during the period of July to August 2020. A preliminary study with the hospital wastewater from Tel Aviv and Jerusalem reported 38.4% of samples harboring the virus RNA with respect to the infection rates and patient hospitalization [70].
1.9. National surveillance on waste-water based epidemiology of SARS-CoV-2
WBE based virus screening was conducted with the help of wastewater samples collected from the hospitals in India. Mainly, the study was performed between May to June 2020. Notably, high genome copy number was reported from the samples of untreated wastewater during the initial phase of lockdown. The prevalence of viral RNA copy number was 100% on screening the clinical samples, and significant correlation was observed with the high incidence of the virus infection [88]. In addition, an investigation demonstrated the RNA concentration to be ten-fold higher along with a two-fold increase in the infection rate in the month of May 2020 [89]. WBE method for virus monitoring was successfully conducted from with the samples collected from the fragmented sewerage system in Jaipur. The study reported the presence of genes encoding for envelope, RNA dependent RNA polymerase, nucleocapsid, and ORF1ab gene where the nucleocapsid gene number was higher compared to other genes. Genome concentration in the effluent was determined under different treatment conditions of the wastewater [90]. Further, the newly emerged different strains of the virus marked as variants of concern (VOCs) were also monitored across 11 distinct water treatment plants in Jaipur. Successful validation reported the prevalence of different strains specifically B.1 and B.1.617.2 in the consecutive weeks of wastewater sampling [91]. The clinical validation of the virus genome was further accepted as a monitoring parameter in association with the emergence of COVID-19 cases. Moreover, a large-scale implication of WBE-based virus monitoring still requires significant advancement in India. Thus, an effective method can be practiced with respect to COVID-19 monitoring based on the emergence of new variants, and restricting the recurrence ofCOVID-19 infections considering the geographical and diverse population groups.
1.10. Opportunities for further research
Application of WBE can be an alternative approach in terms of screening and advancing the detection of SARS-CoV-2 based on community level and geographical based monitoring and prevention. On considering the limitations, still WBE needs technical modifications for further application in terms of pandemic surveillance. The importance of WBE has been demonstrated through retrospective studies for early warning of the infection, but real time application still requires frequent sampling, effective collection of samples, technical application, and clinical investigation. The wastewater samples including the sludge is highly heterogeneous along with the clinically relevant virus load is minimal, specifically log phase of the infection spead, the suggested methodology requires the screening and isolation of viral components from the heterogeneous mixture followed by purification and complete recovery including molecular analyses with highly efficient and sensitive approach. Hence, technical improvements are required better efficiency in terms of virus screening as well as analytical study.
Subsequently, quantification methods require improvements for monitoring the infection rate, prevalence or consistent clinical screening of the virus including multiple variables. Several reports based on WBE approach conducted controlled experiments to closely determine SARS-CoV-2 prevalence and regulation by screening the limiting factors associated with RT-qPCR. Many studies associated with the WBE approach for the screening of the virus lack important experiments for the virus recovery required for determining the estimation and collection efficiency, virus load, and virus genome extraction. Hence, improved technical systems with standardized protocols are required for specifically WBE based detection of the virus RNA.
Currently, majority of the approaches are suitable to test the viruses lacking envelope compared to the analyses of enveloped viruses in the water [52,64]. The COVID-19 virus has been significantly screened in the wastewater with respect to significant concentration along with the application of ultrafiltration, polyethylene glycol (PEG) precipitation, electronegative membrane adsorption, or combinations of these. On comparison with WBE, it still requires technical improvement in order to determine the threshold concentration of virus RNA in the clinical sample when compared with the incidence of COVID-19 infection and thus define the severity of outbreak.
We still lack much clinical information regarding the susceptibility of SARS-CoV-2 infection through wastewater. Clinical evidences are crucial to highlight the significant role of limiting elements responsible for viral transmission, particularly places with poor sanitation [92,93]. Multiple evidences have supported the importance of virus RNA surveillance as an applicable method for the detection of pathogenic variants and track the patterns of viral transmission. In addition, variants are also evolving with new mutations which can further lead to re-emergence of pathogenic variants. A state of emergence as well as re-emergence along with genetic shift in the viruses requires an urgent method to specifically detect the strain of concern from a mixed pool of wastewater samples. We need to perform more clinical as well as fundamental studies to elucidate the paradigm of wastewater based virus monitoring and COVID-19 transmission which can correspond to early preventive measures to restrict the outbreak of enveloped viruses. The study should include variables like diverse transmission dynamics, multiple geographic areas and different solids collection methods at wastewater treatment facilities. Also, it will be relevant to compare influent and sludge from the specific treatment plant to determine and establish the efficient and sensitive approach to reduce the infection load in a particular community or population.
Moreover, studies are required for developing standardized methods to evaluate the load of enveloped viruses like SARS-CoV-2 from the wastewater samples to understand the pattern of virus infection and spread in a population. In order to overcome the limitations of SARS-CoV-2 screening in wastewater multiple mathematical models have been studied and analyzed. One such method is based on flow fluctuations at the inlet of wastewater treatment plant and Kalman smoothing with RT-qPCR screening [114]. Further, SIER model approach was applied to study the SARS-CoV-2 dynamics with respect to infection and disease transmission [115].A mathematical model was applied with population based transmission and virus concentration in the wastewater for studying trend in the virus infection [116]. Li et al., 2022 applied longitudinal monitoring approach for determining the SARS-CoV-2 infection and transmission dynamics [117]. Further, techniques are required to develop machine learning and AI programs to determine the significant association between virus load and rate of positive infection cases in a marked locality or community. But, sufficient reports are still required for successful application of WBE. However, sampling wastewater even in the absence of preliminary information based on the evidences of positive cases or infection shift the technique is still applicable to examine the association of virus infection with the waves of COVID-19. The sample screening from wastewater alo requires standard protocols with respect to SARS-CoV-2 detection and analyses. In the mean time of advancing the WBE approach, tested for sampling from the wastewater can be performed as a practice model for the surveillance of the infection. Studies have also highlighted the significance of overall environment monitoring along with up scaled network of laboratories for clinical testing to prioritize the health based requirements of middle- and low-income countries.
In terms of health management, wastewater epidemiology has emerged as a comprehensive, low-cost, economical, and rapid method for assessing the health condition of the infected population both quantitatively and qualitatively. The WBE method is quite effective in consolidating clinical samples that comprise the health status against the infection transmission in local population groups across the world. Due to the difference in wastewater treatment ranging from developing to developed countries, the WBE approach could be beneficial in monitoring underprivileged geographical zones, which lack proper health assessment facilities and are unaffordability to the major population of people. However, the potential of wastewater in determining the coronavirus spread still needs multiple routine sampling, but the representative data from various studies can be applied as a baseline to monitor the virus load, and track the public health data comprising a broad range of health complications and infection recurrence threats. Notably, the developed countries have applied the WBE system to incorporate the clinical data covering most of the intrinsic and extrinsic parameters for assessing the health status and virus infection. But, the limitations or poor infrastructure of wastewater treatment restricts the clinical investigations required to gather information and take prior action to prevent the further spread of the virus. Further, wastewater treatment facilities are a structural part of maintaining the ecosystem as well as health conditions. Thus, wastewater-based epidemiology can provide an alternative way in terms of health and disease management comprising low to high-income countries around the globe.
2. Conclusion
Wastewater-based epidemiology of SARS-CoV-2 implementation is advantageous on the basis of infection monitoring and spread control on a community scale. The WBE approach in monitoring the viral load will be helpful in following the dynamics of virus progression and ensuring timely response to prevent further spread of the virus in a particular containment zone and/or globally. With limitations, implementation of WBE in indistinct sewage systems lacking centralized facilities for sewage treatment and monitoring would be an obstacle in determining the viral load. However, improving the system with current techniques and equipment as per the WBE approach of screening might shed light on assessing the early identification and monitoring of SARS-CoV-2. Hence, the application of WBE can prove to be advantageous in terms of SARS-CoV-2 detection, monitoring, and prevention based on geographical location and/or globally.
Declaration of competing interest
The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Dr. Jayavel Sridhar reports financial support from RUSA phase 2.0 for sponsoring “Centre of Excellences in Computational Intelligence and Data Analytics”. JS also thank Madurai Kamaraj University for providing infrastructure. Rahul Parit reports a relationship with Madurai Kamaraj University that includes: non-financial support. Govindaraju Boopalakrishnan reports a relationship with Madurai Kamaraj University that includes: non-financial support. Johni Rexliene reports a relationship with Madurai Kamaraj University that includes: non-financial support. Researchers previously worked in Madurai Kamaraj University for Ph.D and waiting for defense. Rajkumar Praveen reports a relationship with Madurai Kamaraj University that includes: non-financial support. Viswanathan Balaji reports a relationship with Madurai Kamaraj University that includes: non-financial support.
Acknowledgements
The authors thank RUSA phase 2.0 for sponsoring “Centre of Excellences in Computational Intelligence and Data Analytics” in Madurai Kamaraj University, Madurai.
References
- 1.Wu F., Zhao S., Yu B., Chen Y.M., Wang W., Song Z.G., Hu Y., Tao Z.W., Tian J.H., Pei Y.Y., Yuan M.L., Zhang Y.L., Dai F.H., Liu Y., Wang Q.M., Zheng J.J., Xu L., Holmes E.C., Zhang Y.Z. A new coronavirus associated with human respiratory disease in China. Nature. 2020 Mar;579(7798):265–269. doi: 10.1038/s41586-020-2008-3. Epub 2020 Feb 3. Erratum in: Nature. 2020 Apr;580(7803):E7. PMID: 32015508; PMCID: PMC7094943. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Zhou P., Yang X.L., Wang X.G., Hu B., Zhang L., Zhang W., Si H.R., Zhu Y., Li B., Huang C.L., Chen H.D., Chen J., Luo Y., Guo H., Jiang R.D., Liu M.Q., Chen Y., Shen X.R., Wang X., Zheng X.S., Zhao K., Chen Q.J., Deng F., Liu L.L., Yan B., Zhan F.X., Wang Y.Y., Xiao G.F., Shi Z.L. A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature. 2020 Mar;579(7798):270–273. doi: 10.1038/s41586-020-2012-7. Epub 2020 Feb 3. PMID: 32015507; PMCID: PMC7095418. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Cucinotta D., Vanelli M. WHO declares COVID-19 a pandemic. Acta Biomed. 2020 Mar 19;91(1):157–160. doi: 10.23750/abm.v91i1.9397. PMID: 32191675; PMCID: PMC7569573. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Ludwig S., Zarbock A. Coronaviruses and SARS-CoV-2: a brief overview. Anesth. Analg. 2020 Jul;131(1):93–96. doi: 10.1213/ANE.0000000000004845. PMID: 32243297; PMCID: PMC7173023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Di Gennaro F., Pizzol D., Marotta C., Antunes M., Racalbuto V., Veronese N., Smith L. Coronavirus diseases (COVID-19) current status and future perspectives: a narrative review. Int. J. Environ. Res. Publ. Health. 2020 Apr 14;17(8):2690. doi: 10.3390/ijerph17082690. PMID: 32295188; PMCID: PMC7215977. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Ge H., Wang X., Yuan X., Xiao G., Wang C., Deng T., Yuan Q., Xiao X. The epidemiology and clinical information about COVID-19. Eur. J. Clin. Microbiol. Infect. Dis. 2020 Jun;39(6):1011–1019. doi: 10.1007/s10096-020-03874-z. Epub 2020 Apr 14. PMID: 32291542; PMCID: PMC7154215. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Yan R., Zhang Y., Li Y., Xia L., Guo Y., Zhou Q. Structural basis for the recognition of SARS-CoV-2 by full-length human ACE2. Science. 2020 Mar 27;367(6485):1444–1448. doi: 10.1126/science.abb2762. Epub 2020 Mar 4. PMID: 32132184; PMCID: PMC7164635. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.D'Amico F., Baumgart D.C., Danese S., Peyrin-Biroulet L. Diarrhea during COVID-19 infection: pathogenesis, epidemiology, prevention, and management. Clin. Gastroenterol. Hepatol. 2020 Jul;18(8):1663–1672. doi: 10.1016/j.cgh.2020.04.001. Epub 2020 Apr 8. PMID: 32278065; PMCID: PMC7141637. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Lamers M.M., Beumer J., van der Vaart J., Knoops K., Puschhof J., Breugem T.I., Ravelli R.B.G., Paul van Schayck J., Mykytyn A.Z., Duimel H.Q., van Donselaar E., Riesebosch S., Kuijpers H.J.H., Schipper D., van de Wetering W.J., de Graaf M., Koopmans M., Cuppen E., Peters P.J., Haagmans B.L., Clevers H. SARS-CoV-2 productively infects human gut enterocytes. Science. 2020 Jul 3;369(6499):50–54. doi: 10.1126/science.abc1669. Epub 2020 May 1. PMID: 32358202; PMCID: PMC7199907. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Xiao F., Tang M., Zheng X., Liu Y., Li X., Shan H. Evidence for gastrointestinal infection of SARS-CoV-2. Gastroenterology. 2020 May;158(6):1831–1833. doi: 10.1053/j.gastro.2020.02.055. e3. Epub 2020 Mar 3. PMID: 32142773; PMCID: PMC7130181. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Lin L., Jiang X., Zhang Z., Huang S., Zhang Z., Fang Z., Gu Z., Gao L., Shi H., Mai L., Liu Y., Lin X., Lai R., Yan Z., Li X., Shan H. Gastrointestinal symptoms of 95 cases with SARS-CoV-2 infection. Gut. 2020 Jun;69(6):997–1001. doi: 10.1136/gutjnl-2020-321013. Epub 2020 Apr 2. PMID: 32241899; PMCID: PMC7316116. [DOI] [PubMed] [Google Scholar]
- 12.Lescure F.X., Bouadma L., Nguyen D., Parisey M., Wicky P.H., Behillil S., Gaymard A., Bouscambert-Duchamp M., Donati F., Le Hingrat Q., Enouf V., Houhou-Fidouh N., Valette M., Mailles A., Lucet J.C., Mentre F., Duval X., Descamps D., Malvy D., Timsit J.F., Lina B., van-der-Werf S., Yazdanpanah Y. Clinical and virological data of the first cases of COVID-19 in Europe: a case series. Lancet Infect. Dis. 2020 Jun;20(6):697–706. doi: 10.1016/S1473-3099(20)30200-0. Epub 2020 Mar 27. Erratum in: Lancet Infect Dis. 2020 May 19;: Erratum in: Lancet Infect Dis. 2020 Jun;20(6):e116. PMID: 32224310; PMCID: PMC7156120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Wölfel R., Corman V.M., Guggemos W., et al. Virological assessment of hospitalized patients with COVID-2019. Nature. 2020;581:465–469. doi: 10.1038/s41586-020-2196-x. [DOI] [PubMed] [Google Scholar]
- 14.Zheng S., Fan J., Yu F., Feng B., Lou B., Zou Q., Xie G., Lin S., Wang R., Yang X., Chen W., Wang Q., Zhang D., Liu Y., Gong R., Ma Z., Lu S., Xiao Y., Gu Y., Zhang J., Yao H., Xu K., Lu X., Wei G., Zhou J., Fang Q., Cai H., Qiu Y., Sheng J., Chen Y., Liang T. Viral load dynamics and disease severity in patients infected with SARS-CoV-2 in Zhejiang province, China, January-March 2020: retrospective cohort study. BMJ. 2020 Apr 21;369:m1443. doi: 10.1136/bmj.m1443. PMID: 32317267; PMCID: PMC7190077. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Lai F.Y., Lympousi K., Been F., Benaglia L., Udrisard R., Delémont O., Esseiva P., Thomaidis N.S., Covaci A., van Nuijs A.L. Levels of 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK) in raw wastewater as an innovative perspective for investigating population-wide exposure to third-hand smoke. Sci. Rep. 2018;8(1):1–9. doi: 10.1038/s41598-018-31324-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Hart O.E., Halden R.U. Computational analysis of SARS-CoV-2/COVID-19 surveillance by wastewater-based epidemiology locally and globally: feasibility, economy, opportunities and challenges. Sci. Total Environ. 2020;730 doi: 10.1016/j.scitotenv.2020.138875. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Ahmed W., Angel N., Edson J., Bibby K., Bivins A., O'Brien J.W.…Mueller J.F. First confirmed detection of SARS-CoV-2 in untreated wastewater in Australia: a proof of concept for the wastewater surveillance of COVID-19 in the community. Sci. Total Environ. 2020;728 doi: 10.1016/j.scitotenv.2020.138764. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Wurtzer S., Marechal V., Mouchel J.M., Maday Y., Teyssou R., Richard E., Almayrac J.L., Moulin L. MedRxiv; 2020. Evaluation of Lockdown Impact on SARS-CoV-2 Dynamics through Viral Genome Quantification in Paris Wastewaters. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.La Rosa G., Iaconelli M., Mancini P., Ferraro G.B., Veneri C., Bonadonna L., Lucentini L., Suffredini E. First detection of SARS-CoV-2 in untreated wastewaters in Italy. Sci. Total Environ. 2020;736 doi: 10.1016/j.scitotenv.2020.139652. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Kumar M., Patel A.K., Shah A.V., Raval J., Rajpara N., Joshi M., Joshi C.G. First proof of the capability of wastewater surveillance for COVID-19 in India through detection of genetic material of SARS-CoV-2. Sci. Total Environ. 2020;746 doi: 10.1016/j.scitotenv.2020.141326. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Wang J., Feng H., Zhang S., Ni Z., Ni L., Chen Y., Zhuo L., Zhong Z., Qu T. SARS-CoV-2 RNA detection of hospital isolation wards hygiene monitoring during the Coronavirus Disease 2019 outbreak in a Chinese hospital. Int. J. Infect. Dis. 2020;94:103–106. doi: 10.1016/j.ijid.2020.04.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.La Rosa G., Della Libera S., Iaconelli M., Ciccaglione A.R., Bruni R., Taffon S.…Muscillo M. Surveillance of hepatitis A virus in urban sewages and comparison with cases notified in the course of an outbreak, Italy 2013. BMC Infect. Dis. 2014;14(1):1–11. doi: 10.1186/1471-2334-14-419. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Prevost B., Lucas F.S., Goncalves A., Richard F., Moulin L., Wurtzer S. Large scale survey of enteric viruses in river and waste water underlines the health status of the local population. Environ. Int. 2015;79:42–50. doi: 10.1016/j.envint.2015.03.004. [DOI] [PubMed] [Google Scholar]
- 24.Medema G., Been F., Heijnen L., Petterson S. Implementation of environmental surveillance for SARS-CoV-2 virus to support public health decisions: opportunities and challenges. Curr. Opin. Environ. Sci. Health. 2020;17:49–71. doi: 10.1016/j.coesh.2020.09.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Singer A., Wray R. Detection and survival of SARS-coronavirus in human stool, urine, wastewater and sludge. Preprints. 2020 doi: 10.20944/preprints202006.0216.v2. [DOI] [Google Scholar]
- 26.Park S.K., Lee C.W., Park D.I., Woo H.Y., Cheong H.S., Shin H.C., Ahn K., Kwon M.J., Joo E.J. Detection of SARS-CoV-2 in fecal samples from patients with asymptomatic and mild COVID-19 in Korea. Clin. Gastroenterol. Hepatol. 2021 Jul;19(7):1387–1394. doi: 10.1016/j.cgh.2020.06.005. e2. Epub 2020 Jun 10. PMID: 32534042; PMCID: PMC7286243. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Cahill N., Morris D. Recreational waters - a potential transmission route for SARS-CoV-2 to humans? Sci. Total Environ. 2020 Oct 20;740 doi: 10.1016/j.scitotenv.2020.140122. Epub 2020 Jun 11. PMID: 32540743; PMCID: PMC7287419. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Park S.K., Lee C.W., Park D.I., Woo H.Y., Cheong H.S., Shin H.C.…Joo E.J. Detection of SARS-CoV-2 in fecal samples from patients with asymptomatic and mild COVID-19 in Korea. Clin. Gastroenterol. Hepatol. 2021;19(7):1387–1394. doi: 10.1016/j.cgh.2020.06.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Wu F., Zhang J., Xiao A., Gu X., Lee W.L., Armas F.…Alm E.J. SARS-CoV-2 titers in wastewater are higher than expected from clinically confirmed cases. mSystems. 2020;5(4):e00614–e00620. doi: 10.1128/mSystems.00614-20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Xing Y.H., Ni W., Wu Q., Li W.J., Li G.J., Wang W.D.…Xing Q.S. Prolonged viral shedding in feces of pediatric patients with coronavirus disease 2019. J. Microbiol. Immunol. Infect. 2020;53(3):473–480. doi: 10.1016/j.jmii.2020.03.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Wang J., Feng H., Zhang S., Ni Z., Ni L., Chen Y., Zhuo L., Zhong Z., Qu T. SARS-CoV-2 RNA detection of hospital isolation wards hygiene monitoring during the Coronavirus Disease 2019 outbreak in a Chinese hospital. Int. J. Infect. Dis. 2020;94:103–106. doi: 10.1016/j.ijid.2020.04.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Lescure F.X., Bouadma L., Nguyen D., Parisey M., Wicky P.H., Behillil S.…Yazdanpanah Y. Clinical and virological data of the first cases of COVID-19 in Europe: a case series. Lancet Infect. Dis. 2020;20(6):697–706. doi: 10.1016/S1473-3099(20)30200-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Wolfel R., Corman V.M., Guggemos W., Seilmaier M., Zange S., Müller M.A.…Wendtner C. Author Correction: virological assessment of hospitalized patients with COVID-2019. Nature. 2020;588(7839) doi: 10.1038/s41586-020-2984-3. E35-E35. [DOI] [PubMed] [Google Scholar]
- 34.Zheng S., Fan J., Yu F., Feng B., Lou B., Zou Q.…Liang T. Viral load dynamics and disease severity in patients infected with SARS-CoV-2 in Zhejiang province, China, January-March 2020: retrospective cohort study. BMJ. 2020:369. doi: 10.1136/bmj.m1443. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Wang W., Xu Y., Gao R., Lu R., Han K., Wu G., Tan W. Detection of SARS-CoV-2 in different types of clinical specimens. JAMA. 2020;323(18):1843–1844. doi: 10.1001/jama.2020.3786. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Xu Y., Li X., Zhu B., Liang H., Fang C., Gong Y.…Gong S. Characteristics of pediatric SARS-CoV-2 infection and potential evidence for persistent fecal viral shedding. Nat. Med. 2020;26(4):502–505. doi: 10.1038/s41591-020-0817-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Xiao F., Sun J., Xu Y., Li F., Huang X., Li H., Zhao J., Huang J., Zhao J. Infectious SARS-CoV-2 in feces of patient with severe COVID-19. Emerg. Infect. Dis. 2020 Aug;26(8):1920–1922. doi: 10.3201/eid2608.200681. Epub 2020 May 18. PMID: 32421494; PMCID: PMC7392466. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Wang W., Xu Y., Gao R., Lu R., Han K., Wu G., Tan W. Detection of SARS-CoV-2 in different types of clinical specimens. JAMA. 2020 May 12;323(18):1843–1844. doi: 10.1001/jama.2020.3786. PMID: 32159775; PMCID: PMC7066521. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Ianiro G., Mullish B.H., Kelly C.R., Sokol H., Kassam Z., Ng S.C., Fischer M., Allegretti J.R., Masucci L., Zhang F., Keller J., Sanguinetti M., Costello S.P., Tilg H., Gasbarrini A., Cammarota G. Screening of faecal microbiota transplant donors during the COVID-19 outbreak: suggestions for urgent updates from an international expert panel. Lancet Gastroenterol. Hepatol. 2020 May;5(5):430–432. doi: 10.1016/S2468-1253(20)30082-0. Epub 2020 Mar 17. Erratum in: Lancet Gastroenterol Hepatol. 2020 Jun;5(6):e5. PMID: 32192627; PMCID: PMC7104244. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Zhang Y., Chen C., Zhu S., Shu C., Wang D., Song J., Song Y., Zhen W., Feng Z., Wu G., Xu J., Xu W. Isolation of 2019-nCoV from a stool specimen of a laboratory-confirmed case of the coronavirus disease 2019 (COVID-19) China CDC Wkly. 2020 Feb 21;2(8):123–124. PMID: 34594837; PMCID: PMC8392928. [PMC free article] [PubMed] [Google Scholar]
- 41.Qi F., Qian S., Zhang S., Zhang Z. Single cell RNA sequencing of 13 human tissues identify cell types and receptors of human coronaviruses. Biochem. Biophys. Res. Commun. 2020 May 21;526(1):135–140. doi: 10.1016/j.bbrc.2020.03.044. Epub 2020 Mar 19. PMID: 32199615; PMCID: PMC7156119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Sun J., Zhu A., Li H., Zheng K., Zhuang Z., Chen Z., Shi Y., Zhang Z., Chen S.B., Liu X., Dai J., Li X., Huang S., Huang X., Luo L., Wen L., Zhuo J., Li Y., Wang Y., Zhang L., Zhang Y., Li F., Feng L., Chen X., Zhong N., Yang Z., Huang J., Zhao J., Li Y.M. Isolation of infectious SARS-CoV-2 from urine of a COVID-19 patient. Emerg. Microb. Infect. 2020 Dec;9(1):991–993. doi: 10.1080/22221751.2020.1760144. PMID: 32342724; PMCID: PMC7301718. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Liu Y., Li T., Deng Y., Liu S., Zhang D., Li H., Wang X., Jia L., Han J., Bei Z., Li L., Li J. Stability of SARS-CoV-2 on environmental surfaces and in human excreta. J. Hosp. Infect. 2021 Jan;107:105–107. doi: 10.1016/j.jhin.2020.10.021. Epub 2020 Nov 1. PMID: 33137445; PMCID: PMC7603996. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Heller L., Mota C.R., Greco D.B. COVID-19 faecal-oral transmission: are we asking the right questions? Sci. Total Environ. 2020 Aug 10;729 doi: 10.1016/j.scitotenv.2020.138919. Epub 2020 Apr 25. PMID: 32353720; PMCID: PMC7182518. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Bivins A., Greaves J., Fischer R., Yinda K.C., Ahmed W., Kitajima M., Munster V.J., Bibby K. Persistence of SARS-CoV-2 in water and wastewater. Environ. Sci. Technol. Lett. 2020 Oct;7 doi: 10.1021/acs.estlett.0c00730. acs.estlett.0c00730. PMCID: PMC7553037. [DOI] [PubMed] [Google Scholar]
- 46.Wang X.W., Li J.S., Guo T.K., Zhen B., Kong Q.X., Yi B., Li Z., Song N., Jin M., Xiao W.J., Zhu X.M., Gu C.Q., Yin J., Wei W., Yao W., Liu C., Li J.F., Ou G.R., Wang M.N., Fang T.Y., Wang G.J., Qiu Y.H., Wu H.H., Chao F.H., Li J.W. Concentration and detection of SARS coronavirus in sewage from Xiao Tang Shan hospital and the 309th hospital. J Virol Method. 2005 Sep;128(1–2):156–161. doi: 10.1016/j.jviromet.2005.03.022. Erratum in: J Virol Methods. 2005 Dec;130(1-2):210. PMID: 15964082; PMCID: PMC7112879. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Casanova L., Rutala W.A., Weber D.J., Sobsey M.D. Survival of surrogate coronaviruses in water. Water Res. 2009 Apr;43(7):1893–1898. doi: 10.1016/j.watres.2009.02.002. Epub 2009 Feb 10. PMID: 19246070; PMCID: PMC7112071. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Balboa S., Mauricio-Iglesias M., Rodriguez S., Martínez-Lamas L., Vasallo F.J., Regueiro B., Lema J.M. The fate of SARS-COV-2 in WWTPS points out the sludge line as a suitable spot for detection of COVID-19. Sci. Total Environ. 2021 Jun 10;772 doi: 10.1016/j.scitotenv.2021.145268. Epub 2021 Feb 2. PMID: 33556806; PMCID: PMC7980226. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Rimoldi S.G., Stefani F., Gigantiello A., Polesello S., Comandatore F., Mileto D., Maresca M., Longobardi C., Mancon A., Romeri F., Pagani C. Presence and infectivity of SARS-CoV-2 virus in wastewaters and rivers. Sci. Total Environ. 2020;744 doi: 10.1016/j.scitotenv.2020.140911. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Guerrero-Latorre L., Ballesteros I., Villacrés-Granda I., Granda M.G., Freire-Paspuel B., Ríos-Touma B. SARS-CoV-2 in river water: implications in low sanitation countries. Sci. Total Environ. 2020;743 doi: 10.1016/j.scitotenv.2020.140832. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Wang X.W., Li J.S., Guo T.K., Zhen B., Kong Q.X., Yi B.…Li J.W. Concentration and detection of SARS coronavirus in sewage from Xiao Tang Shan hospital and the 309th hospital. J. Virol Methods. 2005;128(1–2):156–161. doi: 10.1016/j.jviromet.2005.03.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Arora S., Nag A., Sethi J., Rajvanshi J., Saxena S., Shrivastava S.K., Gupta A.B. Sewage surveillance for the presence of SARS-CoV-2 genome as a useful wastewater based epidemiology (WBE) tracking tool in India. Water Sci. Technol. 2020;82(12):2823–2836. doi: 10.2166/wst.2020.540. [DOI] [PubMed] [Google Scholar]
- 53.Zhang D., Ling H., Huang X., Li J., Li W., Yi C., Zhang T., Jiang Y., He Y., Deng S., Qu J. Potential spreading risks and disinfection challenges of medical wastewater by the presence of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) viral RNA in septic tanks of Fangcang Hospital. Sci. Total Environ. 2020;741 doi: 10.1016/j.scitotenv.2020.140445. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Bhowmick G.D., Dhar D., Nath D., Ghangrekar M.M., Banerjee R., Das S., Chatterjee J. Coronavirus disease 2019 (COVID-19) outbreak: some serious consequences with urban and rural water cycle. NPJ Clean Water. 2020;3(1):1–8. [Google Scholar]
- 55.Wigginton K.R., Ye Y., Ellenberg R.M. Emerging investigators series: the source and fate of pandemic viruses in the urban water cycle. Environ. Sci. J. Integr. Environ. Res.: Water Res. Technol. 2015;1(6):735–746. [Google Scholar]
- 56.Gormley M., Aspray T.J., Kelly D.A. COVID-19: mitigating transmission via wastewater plumbing systems. Lancet Global Health. 2020;8(5):e643. doi: 10.1016/S2214-109X(20)30112-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Peccia J., Zulli A., Brackney D.E., Grubaugh N.D., Kaplan E.H., Casanovas-Massana A.…Omer S.B. Measurement of SARS-CoV-2 RNA in wastewater tracks community infection dynamics. Nat. Biotechnol. 2020;38(10):1164–1167. doi: 10.1038/s41587-020-0684-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Kantor R.S., Nelson K.L., Greenwald H.D., Kennedy L.C. Challenges in measuring the recovery of SARS-CoV-2 from wastewater. Environ. Sci. Technol. 2021;55(6):3514–3519. doi: 10.1021/acs.est.0c08210. [DOI] [PubMed] [Google Scholar]
- 59.Pecson B.M., Darby E., Haas C.N., Amha Y.M., Bartolo M., Danielson R.…SARS-CoV-2 Interlaboratory Consortium Reproducibility and sensitivity of 36 methods to quantify the SARS-CoV-2 genetic signal in raw wastewater: findings from an interlaboratory methods evaluation in the US. Environ. Sci.: Water Res. Technol. 2021;7(3):504–520. doi: 10.1039/d0ew00946f. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Graham K.E., Loeb S.K., Wolfe M.K., Catoe D., Sinnott-Armstrong N., Kim S., Boehm A.B. SARS-CoV-2 RNA in wastewater settled solids is associated with COVID-19 cases in a large urban sewershed. Environ. Sci. Technol. 2020;55(1):488–498. doi: 10.1021/acs.est.0c06191. [DOI] [PubMed] [Google Scholar]
- 61.Carrillo-Reyes J., Barragán-Trinidad M., Buitrón G. Surveillance of SARS-CoV-2 in sewage and wastewater treatment plants in Mexico. J. Water Proc. Eng. 2021;40 doi: 10.1016/j.jwpe.2020.101815. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Michael-Kordatou I., Karaolia P., Fatta-Kassinos D. Sewage analysis as a tool for the COVID-19 pandemic response and management: the urgent need for optimised protocols for SARS-CoV-2 detection and quantification. J. Environ. Chem. Eng. 2020;8(5) doi: 10.1016/j.jece.2020.104306. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Ahmed W., Bertsch P.M., Bibby K., Haramoto E., Hewitt J., Huygens F., Bivins A. Decay of SARS-CoV-2 and surrogate murine hepatitis virus RNA in untreated wastewater to inform application in wastewater-based epidemiology. Environ. Res. 2020;191 doi: 10.1016/j.envres.2020.110092. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Ahmed W., Bivins A., Bertsch P.M., Bibby K., Choi P.M., Farkas K., Mueller J.F. Surveillance of SARS-CoV-2 RNA in wastewater: methods optimization and quality control are crucial for generating reliable public health information. Curr. Opin. Environ. Sci. Health. 2020;17:82–93. doi: 10.1016/j.coesh.2020.09.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Lever M.A., Torti A., Eickenbusch P., Michaud A.B., Šantl-Temkiv T., Jørgensen B.B. A modular method for the extraction of DNA and RNA, and the separation of DNA pools from diverse environmental sample types. Front. Microbiol. 2015;6:476. doi: 10.3389/fmicb.2015.00476. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Tan S.C., Yiap B.C. DNA, RNA, and protein extraction: the past and the present. J. Biomed. Biotechnol. 2009 doi: 10.1155/2009/574398. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Shehadul Islam M., Aryasomayajula A., Selvaganapathy P.R. A review on macroscale and microscale cell lysis methods. Micromachines. 2017;8(3):83. [Google Scholar]
- 68.Zheng S., Fan J., Yu F., Feng B., Lou B., Zou Q., Liang T. Viral load dynamics and disease severity in patients infected with SARS-CoV-2 in Zhejiang province, China, January-March 2020: retrospective cohort study. BMJ. 2020;369 doi: 10.1136/bmj.m1443. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Zhou P., Yang X.L., Wang X.G., Hu B., Zhang L., Zhang W.…Shi Z.L. A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature. 2020;579(7798):270–273. doi: 10.1038/s41586-020-2012-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Bar-On Y.M., Flamholz A., Phillips R., Milo R. Science forum: SARS-CoV-2 (COVID-19) by the numbers. Elife. 2020;9 doi: 10.7554/eLife.57309. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Neault N., Baig A.T., Graber T.E., D'Aoust P.M., Mercier E., Alexandrov I.…Delatolla R. medRxiv; 2020. SARS-CoV-2 Protein in Wastewater Mirrors COVID-19 Prevalence. [Google Scholar]
- 72.Prado Tatiana, et al. vol. 115. Memorias do Instituto Oswaldo Cruz; 2020. (Preliminary results of SARS-CoV-2 detection in sewerage system in Niterói municipality, Rio de Janeiro, Brazil). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Secretaria Estadual de Saúde do Rio Grande do Sul Centro Estadual de Vigilância em Saúde do Estado do Rio Grande do Sul Monitoramento ambiental de SARS-CoV-2. Boletim de acompanhamento no 2 2020. https://cevsadmin.rs.gov.br/upload/arquivos/202009/21115806-boletim-informativo-n-2- final.pdf Available online:
- 74.Agência Nacional de Águas; Instituto Nacional de Ciência e Tecnologia em Estações Sustentáveis de Tratamento de Esgoto Companhia de Saneamento de Minas Gerais (Copasa); Instituto Mineiro de Gestão das Águas (Igam); Secretaria de Estado de Saúde de Minas Gerais Detecção e quantificação do novo coronavírus em amostras de esgoto nas cidades de Belo Horizonte e Contagem— monitoramento COVID Esgotos. Boletim de Acompanhamento No. 12 2020. https://www.ana.gov.br/panorama-das-aguas/qualidade-da-agua/boletins-monitoramento-covid-esgotos/boletim-de-acompanhamento-no-122020.pdf Available online:
- 75.Wu F., Zhang J., Xiao A., Gu X., Lee W.L., Armas F., Kauffman K., Hanage W., Matus M., Ghaeli N., Endo N., Duvallet C., Poyet M., Moniz K., Washburne A.D., Erickson T.B., Chai P.R., Thompson J., Alm E.J. SARS-CoV-2 titers in wastewater are higher than expected from clinically confirmed cases. mSystems. 2020 Jul 21;5(4):e00614–e00620. doi: 10.1128/mSystems.00614-20. PMID: 32694130; PMCID: PMC7566278. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Wilder Maxwell, Collins Mary, Fenty Ariana, Gentile Karen, Kmush Brittany L., Zeng Teng, Frank A., Middleton, Larsen David A. Quantification of SARS-CoV-2 and cross-assembly phage (crAssphage) from wastewater to monitor coronavirus transmission within communities Hyatt Green. medRxiv. 2020;21 doi: 10.1101/2020.05.21.20109181. 05. [DOI] [Google Scholar]
- 77.Peccia Jordan, Zulli Alessandro, Brackney Doug E., Grubaugh Nathan D., Kaplan Edward H., Casanovas-Massana Arnau, Ko Albert I., Malik Amyn A., Wang Dennis, Wang Mike, Joshua L., Warren, Weinberger Daniel M., Saad B. SARS-CoV-2 RNA concentrations in primary municipal sewage sludge as a leading indicator of COVID-19 outbreak dynamics. Omer medRxiv. 2020 doi: 10.1101/2020.05.19.20105999. 05.19.20105999. [DOI] [Google Scholar]
- 78.Nemudryi A., Nemudraia A., Wiegand T., Surya K., Buyukyoruk M., Cicha C., Vanderwood K.K., Wilkinson R., Wiedenheft B. Temporal detection and phylogenetic assessment of SARS-CoV-2 in municipal wastewater. Cell Rep. Med. 2020 Sep 22;1(6) doi: 10.1016/j.xcrm.2020.100098. Epub 2020 Aug 31. PMID: 32904687; PMCID: PMC7457911. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Medema G., Heijnen L., Elsinga G., Italiaander R., Brouwer A. Presence of SARS-coronavirus-2 RNA in sewage and correlation with reported COVID-19 prevalence in the early stage of the epidemic in The Netherlands. Environ. Sci. Technol. Lett. 2020 May 20 doi: 10.1021/acs.estlett.0c00357. acs.estlett.0c00357. PMCID: PMC7254611. [DOI] [PubMed] [Google Scholar]
- 80.Randazzo W., Cuevas-Ferrando E., Sanjuán R., Domingo-Calap P., Sánchez G. Metropolitan wastewater analysis for COVID-19 epidemiological surveillance. Int. J. Hyg Environ. Health. 2020 Sep;230 doi: 10.1016/j.ijheh.2020.113621. Epub 2020 Sep 1. PMID: 32911123; PMCID: PMC7462597. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Westhaus S., Weber F.A., Schiwy S., Linnemann V., Brinkmann M., Widera M., Greve C., Janke A., Hollert H., Wintgens T., Ciesek S. Detection of SARS-CoV-2 in raw and treated wastewater in Germany - suitability for COVID-19 surveillance and potential transmission risks. Sci. Total Environ. 2021 Jan 10;751 doi: 10.1016/j.scitotenv.2020.141750. Epub 2020 Aug 18. PMID: 32861187; PMCID: PMC7434407. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.First detection of sars-cov-2 in untreated wastewaters in Italy. Giuseppina La rosa, marcello iaconelli, pamela mancini, giusy bonanno ferraro, carolina veneri, lucia bonadonna, luca lucentini. Elisabetta Suffredini medRxiv. 2020 doi: 10.1101/2020.04.25.20079830. 04.25.20079830. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Zehender G., Lai A., Bergna A., Meroni L., Riva A., Balotta C., Tarkowski M., Gabrieli A., Bernacchia D., Rusconi S., Rizzardini G., Antinori S., Galli M. Genomic characterization and phylogenetic analysis of SARS-COV-2 in Italy. J. Med. Virol. 2020 Sep;92(9):1637–1640. doi: 10.1002/jmv.25794. Epub 2020 Apr 10. PMID: 32222993; PMCID: PMC7228393. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Zhang D., Zhang X., Yang Y., Huang X., Jiang J., Li M., Ling H., Li J., Liu Y., Li G., Li W., Yi C., Zhang T., Jiang Y., Xiong Y., He Z., Wang X., Deng S., Zhao P., Qu J. SARS-CoV-2 spillover into hospital outdoor environments. J. Hazard Mater. Lett. 2021 Nov;2 doi: 10.1016/j.hazl.2021.100027. Epub 2021 May 19. PMID: 34977842; PMCID: PMC8132549. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Zhang D., Ling H., Huang X., Li J., Li W., Yi C., Zhang T., Jiang Y., He Y., Deng S., Zhang X., Wang X., Liu Y., Li G., Qu J. Potential spreading risks and disinfection challenges of medical wastewater by the presence of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) viral RNA in septic tanks of Fangcang Hospital. Sci. Total Environ. 2020 Nov 1;741 doi: 10.1016/j.scitotenv.2020.140445. Epub 2020 Jun 23. PMID: 32599407; PMCID: PMC7308756. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Ahmed W., Angel N., Edson J., Bibby K., Bivins A., O'Brien J.W., Choi P.M., Kitajima M., Simpson S.L., Li J., Tscharke B., Verhagen R., Smith W.J.M., Zaugg J., Dierens L., Hugenholtz P., Thomas K.V., Mueller J.F. First confirmed detection of SARS-CoV-2 in untreated wastewater in Australia: a proof of concept for the wastewater surveillance of COVID-19 in the community. Sci. Total Environ. 2020 Aug 1;728 doi: 10.1016/j.scitotenv.2020.138764. Epub 2020 Apr 18. PMID: 32387778; PMCID: PMC7165106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Bar-Or I., Yaniv K., Shagan M., Ozer E., Weil M., Indenbaum V., Elul M., Erster O., Mendelson E., Mannasse B., Shirazi R., Kramarsky-Winter E., Nir O., Abu-Ali H., Ronen Z., Rinott E., Lewis Y.E., Friedler E., Bitkover E., Paitan Y., Berchenko Y., Kushmaro A. Regressing SARS-CoV-2 sewage measurements onto COVID-19 burden in the population: a proof-of-concept for quantitative environmental surveillance. Front. Public Health. 2022 Jan 3;9 doi: 10.3389/fpubh.2021.561710. PMID: 35047467; PMCID: PMC8762221. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Arora Sudipti, Nag Aditi, Sethi Jasmine, Rajvanshi Jayana, Saxena Sonika, Shrivastava Sandeep K., Gupta A.B. Sewage surveillance for the presence of SARS-CoV-2 genome as a useful wastewater based epidemiology (WBE) tracking tool in India. Water Sci. Technol. 2020;82(12):2823–2836. doi: 10.2166/wst.2020.540. [DOI] [PubMed] [Google Scholar]
- 89.Kumar M., Patel A.K., Shah A.V., Raval J., Rajpara N., Joshi M., Joshi C.G. First proof of the capability of wastewater surveillance for COVID-19 in India through detection of genetic material of SARS-CoV-2. Sci. Total Environ. 2020 Dec 1;746 doi: 10.1016/j.scitotenv.2020.141326. Epub 2020 Jul 28. PMID: 32768790; PMCID: PMC7386605. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Arora Sudipti, Nag Aditi, Kalra Aakanksha, Sinha Vikky, Meena Ekta, Saxena Samvida, Sutaria Devanshi, Kaur Manpreet, Pamnani Tamanna, Sharma Komal, Saxena Sonika, Shrivastava Sandeep K., Gupta A.B., Li Xuan. Successful application of wastewater-based epidemiology in prediction and monitoring of the second wave of COVID-19 in India with fragmented sewerage systems- A case study of Jaipur (India) Guangming Jiang medRxiv. 2021 doi: 10.1101/2021.09.11.21263417. 09.11.21263417. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Nag A., Arora S., Sinha V., Meena E., Sutaria D., Gupta A.B., Medicherla K.M. Monitoring of SARS-CoV-2 variants by wastewater-based surveillance as a sustainable and pragmatic approach—a case study of Jaipur (India) Water. 2022;14:297. doi: 10.3390/w14030297. [DOI] [Google Scholar]
- 92.Han J., He S. Urban flooding events pose risks of virus spread during the novel coronavirus (COVID-19) pandemic. Sci. Total Environ. 2021;755 doi: 10.1016/j.scitotenv.2020.142491. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Carducci A., Federigi I., Liu D., Thompson J.R., Verani M. Making waves: coronavirus detection, presence and persistence in the water environment: state of the art and knowledge needs for public health. Water Res. 2020;179 doi: 10.1016/j.watres.2020.115907. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Ciesielski M., Blackwood D., Clerkin T., Gonzalez R., Thompson H., Larson A., Noble R. Assessing sensitivity and reproducibility of RT-ddPCR and RT-qPCR for the quantification of SARS-CoV-2 in wastewater. J Virol Method. 2021 Nov;297 doi: 10.1016/j.jviromet.2021.114230. Epub 2021 Jul 9. PMID: 34252511; PMCID: PMC8267102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95.Heijnen L., Elsinga G., de Graaf M., Molenkamp R., Koopmans M.P.G., Medema G. Droplet digital RT-PCR to detect SARS-CoV-2 signature mutations of variants of concern in wastewater. Sci. Total Environ. 2021 Dec 10;799 doi: 10.1016/j.scitotenv.2021.149456. Epub 2021 Aug 4. PMID: 34371414; PMCID: PMC8332926. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Falzone L., Musso N., Gattuso G., Bongiorno D., Palermo C.I., Scalia G., Libra M., Stefani S. Sensitivity assessment of droplet digital PCR for SARS-CoV-2 detection. Int. J. Mol. Med. 2020;46(3):957–964. doi: 10.3892/ijmm.2020.4673. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Saawarn B., Hait S. Occurrence, fate and removal of SARS-CoV-2 in wastewater: current knowledge and future perspectives. J. Environ. Chem. Eng. 2021 Feb;9(1) doi: 10.1016/j.jece.2020.104870. Epub 2020 Dec 1. PMID: 33282675; PMCID: PMC7706426. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Wurtzer S., Waldman P., Ferrier-Rembert A., Frenois-Veyrat G., Mouchel J.M., Boni M., Maday Y., OBEPINE consortium. Marechal V., Moulin L. Several forms of SARS-CoV-2 RNA can be detected in wastewaters: implication for wastewater-based epidemiology and risk assessment. Water Res. 2021 Jun 15;198 doi: 10.1016/j.watres.2021.117183. Epub 2021 Apr 22. PMID: 33962244; PMCID: PMC8060898. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Neault Nafisa, Baig Aiman Tariq, Graber Tyson E., D'Aoust Patrick M., Mercier Elisabeth, Alexandrov Ilya, Crosby Daniel, Baird Stephen, Mayne Janice, Pounds Thomas, MacKenzie Malcolm, Figeys Daniel, MacKenzie Alex, Delatolla Robert. SARS-CoV-2 protein in wastewater mirrors COVID-19 prevalence. medRxiv. 2020 doi: 10.1101/2020.09.01.20185280. 09.01.20185280. [DOI] [Google Scholar]
- 100.Trottier Julie, Darques Regis, Mouheb Nassim Ait, Partiot Emma, Bakhache William, Deffieu Maika S., Gaudin Raphael. Post-lockdown detection of SARS-CoV-2 RNA in the wastewater of Montpellier, France. medRxiv. 2020 doi: 10.1101/2020.07.08.20148882. 07.08.20148882. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Ahmed W., Bertsch P.M., Bivins A., Bibby K., Farkas K., Gathercole A., Haramoto E., Gyawali P., Korajkic A., McMinn B.R., Mueller J.F., Simpson S.L., Smith W.J.M., Symonds E.M., Thomas K.V., Verhagen R., Kitajima M. Comparison of virus concentration methods for the RT-qPCR-based recovery of murine hepatitis virus, a surrogate for SARS-CoV-2 from untreated wastewater. Sci. Total Environ. 2020 Oct 15;739 doi: 10.1016/j.scitotenv.2020.139960. Epub 2020 Jun 5. PMID: 32758945; PMCID: PMC7273154. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102.LaTurner Z.W., Zong D.M., Kalvapalle P., Gamas K.R., Terwilliger A., Crosby T., Ali P., Avadhanula V., Santos H.H., Weesner K., Hopkins L., Piedra P.A., Maresso A.W., Stadler L.B. Evaluating recovery, cost, and throughput of different concentration methods for SARS-CoV-2 wastewater-based epidemiology. Water Res. 2021 Jun 1;197 doi: 10.1016/j.watres.2021.117043. Epub 2021 Mar 15. PMID: 33784608; PMCID: PMC7957301. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Gerrity D., Papp K., Stoker M., Sims A., Frehner W. Early-pandemic wastewater surveillance of SARS-CoV-2 in Southern Nevada: methodology, occurrence, and incidence/prevalence considerations. Water Res. X. 2021 Jan 1;10 doi: 10.1016/j.wroa.2020.100086. Epub 2020 Dec 31. PMID: 33398255; PMCID: PMC7774458. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Zheng X., Deng Y., Xu X., Li S., Zhang Y., Ding J., On H.Y., Lai J.C.C., In Yau C., Chin A.W.H., Poon L.L.M., Tun H.M., Zhang T. Comparison of virus concentration methods and RNA extraction methods for SARS-CoV-2 wastewater surveillance. Sci. Total Environ. 2022 Jun 10;824 doi: 10.1016/j.scitotenv.2022.153687. Epub 2022 Feb 5. PMID: 35134418; PMCID: PMC8816846. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105.Kitajima M., Ahmed W., Bibby K., Carducci A., Gerba C.P., Hamilton K.A., Haramoto E., Rose J.B. SARS-CoV-2 in wastewater: state of the knowledge and research needs. Sci. Total Environ. 2020 Oct 15;739 doi: 10.1016/j.scitotenv.2020.139076. Epub 2020 Apr 30. PMID: 32758929; PMCID: PMC7191289. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106.Van Kasteren P.B., van der Veer B., van den Brink S., Wijsman L., de Jonge J., van den Brandt A., Molenkamp R., Reusken C.B.E.M., Meijer A. Comparison of seven commercial RT-PCR diagnostic kits for COVID-19. J. Clin. Virol. 2020 Jul;128 doi: 10.1016/j.jcv.2020.104412. Epub 2020 May 8. PMID: 32416600; PMCID: PMC7206434. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107.Aranha C., Patel V., Bhor V., Gogoi D. Cycle threshold values in RT-PCR to determine dynamics of SARS-CoV-2 viral load: an approach to reduce the isolation period for COVID-19 patients. J. Med. Virol. 2021 Dec;93(12):6794–6797. doi: 10.1002/jmv.27206. Epub 2021 Jul 23. PMID: 34264527; PMCID: PMC8426941. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108.Suo T., Liu X., Feng J., Guo M., Hu W., Guo D., Ullah H., Yang Y., Zhang Q., Wang X., Sajid M., Huang Z., Deng L., Chen T., Liu F., Xu K., Liu Y., Zhang Q., Liu Y., Xiong Y., Chen G., Lan K., Chen Y. ddPCR: a more accurate tool for SARS-CoV-2 detection in low viral load specimens. Emerg. Microb. Infect. 2020 Dec;9(1):1259–1268. doi: 10.1080/22221751.2020.1772678. PMID: 32438868; PMCID: PMC7448897. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109.Ahmed F., Islam M.A., Kumar M., Hossain M., Bhattacharya P., Islam M.T., Hossen F., Hossain M.S., Islam M.S., Uddin M.M., Islam M.N., Bahadur N.M., Didar-Ul-Alam M., Reza H.M., Jakariya M. First detection of SARS-CoV-2 genetic material in the vicinity of COVID-19 isolation Centre in Bangladesh: variation along the sewer network. Sci. Total Environ. 2021 Jul 1;776 doi: 10.1016/j.scitotenv.2021.145724. Epub 2021 Feb 9. PMID: 33652314; PMCID: PMC7870435. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110.Krivoňáková N., Šoltýsová A., Tamáš M., Takáč Z., Krahulec J., Ficek A., Gál M., Gall M., Fehér M., Krivjanská A., Horáková I., Belišová N., Bímová P., Škulcová A.B., Mackuľak T. Mathematical modeling based on RT-qPCR analysis of SARS-CoV-2 in wastewater as a tool for epidemiology. Sci. Rep. 2021 Sep 30;11(1) doi: 10.1038/s41598-021-98653-x. PMID: 34593871; PMCID: PMC8484274. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111.Foladori P., Cutrupi F., Segata N., Manara S., Pinto F., Malpei F., Bruni L., La Rosa G. SARS-CoV-2 from faeces to wastewater treatment: what do we know? A review. Sci. Total Environ. 2020 Nov 15;743 doi: 10.1016/j.scitotenv.2020.140444. Epub 2020 Jun 24. PMID: 32649988; PMCID: PMC7311891. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 112.Bivins A., North D., Ahmad A., Ahmed W., Alm E., Been F., Bhattacharya P., Bijlsma L., Boehm A.B., Brown J., Buttiglieri G., Calabro V., Carducci A., Castiglioni S., Cetecioglu Gurol Z., Chakraborty S., Costa F., Curcio S., de Los Reyes F.L., 3rd, Delgado Vela J., Farkas K., Fernandez-Casi X., Gerba C., Gerrity D., Girones R., Gonzalez R., Haramoto E., Harris A., Holden P.A., Islam M.T., Jones D.L., Kasprzyk-Hordern B., Kitajima M., Kotlarz N., Kumar M., Kuroda K., La Rosa G., Malpei F., Mautus M., McLellan S.L., Medema G., Meschke J.S., Mueller J., Newton R.J., Nilsson D., Noble R.T., van Nuijs A., Peccia J., Perkins T.A., Pickering A.J., Rose J., Sanchez G., Smith A., Stadler L., Stauber C., Thomas K., van der Voorn T., Wigginton K., Zhu K., Bibby K. Wastewater-based epidemiology: global collaborative to maximize contributions in the fight against COVID-19. Environ. Sci. Technol. 2020 Jul 7;54(13):7754–7757. doi: 10.1021/acs.est.0c02388. Epub 2020 Jun 12. PMID: 32530639; PMCID: PMC7299382. [DOI] [PubMed] [Google Scholar]
- 113.Hellmér M., Paxéus N., Magnius L., Enache L., Arnholm B., Johansson A., Bergström T., Norder H. Detection of pathogenic viruses in sewage provided early warnings of hepatitis A virus and norovirus outbreaks. Appl. Environ. Microbiol. 2014 Nov;80(21):6771–6781. doi: 10.1128/AEM.01981-14. Epub 2014 Aug 29. PMID: 25172863; PMCID: PMC4249052. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 114.Cluzel Nicolas, Courbariaux Marie, Wang Siyun, Moulin Laurent, Wurtzer Sébastien, Bertrand Isabelle, Laurent Karine, Monfort Patrick, consortium Obépine, Le Guyader Soizick, Mickaël Boni, Mouchel Jean-Marie, Maréchal Vincent, Nuel Grégory, Yvon Maday. Mathematical modeling and adequate environmental sampling plans are essential for the public health assessment of COVID-19 pandemics : development of a monitoring indicator for SARS-CoV-2 in wastewater. medRxiv. 2021 doi: 10.1101/2021.09.01.21262877. 09.01.21262877. [DOI] [Google Scholar]
- 115.McMahan C.S., Self S., Rennert L., Kalbaugh C., Kriebel D., Graves D., Colby C., Deaver J.A., Popat S.C., Karanfil T., Freedman D.L. COVID-19 wastewater epidemiology: a model to estimate infected populations. Lancet Planet. Health. 2021 Dec;5(12):e874–e881. doi: 10.1016/S2542-5196(21)00230-8. PMID: 34895497; PMCID: PMC8654376. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 116.Nourbakhsh S., Fazil A., Li M., Mangat C.S., Peterson S.W., Daigle J., Langner S., Shurgold J., D'Aoust P., Delatolla R., Mercier E., Pang X., Lee B.E., Stuart R., Wijayasri S., Champredon D. A wastewater-based epidemic model for SARS-CoV-2 with application to three Canadian cities. Epidemics. 2022 Apr 8;39 doi: 10.1016/j.epidem.2022.100560. Epub ahead of print. PMID: 35462206; PMCID: PMC8993419. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 117.Li L., Mazurowski L., Dewan A., Carine M., Haak L., Guarin T.C., Dastjerdi N.G., Gerrity D., Mentzer C., Pagilla K.R. Longitudinal monitoring of SARS-CoV-2 in wastewater using viral genetic markers and the estimation of unconfirmed COVID-19 cases. Sci. Total Environ. 2022 Apr 15;817 doi: 10.1016/j.scitotenv.2022.152958. Epub 2022 Jan 10. PMID: 35016937; PMCID: PMC8743272. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118.Chavarria-Miró Gemma, Anfruns-Estrada Eduard, Guix Susana, Paraira Miquel, Galofré Belén, Sánchez Gloria, Pintó Rosa M., Bosch Albert. Sentinel surveillance of SARS-CoV-2 in wastewater anticipates the occurrence of COVID-19 cases. medRxiv. 2020 doi: 10.1101/2020.06.13.20129627. 06.13.20129627. [DOI] [Google Scholar]
- 119.Begon M., Hazel S.M., Baxby D., Bown K., Cavanagh R., Chantrey J., Jones T., Bennett M. Transmission dynamics of a zoonotic pathogen within and between wildlife host species. Proc. Biol. Sci. 1999 Oct 7;266(1432):1939–1945. doi: 10.1098/rspb.1999.0870. PMID: 10584336; PMCID: PMC1690313. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120.Hokajärvi A.M., Rytkönen A., Tiwari A., Kauppinen A., Oikarinen S., Lehto K.M., Kankaanpää A., Gunnar T., Al-Hello H., Blomqvist S., Miettinen I.T., Savolainen-Kopra C., Pitkänen T. The detection and stability of the SARS-CoV-2 RNA biomarkers in wastewater influent in Helsinki, Finland. Sci. Total Environ. 2021 May 20;770 doi: 10.1016/j.scitotenv.2021.145274. Epub 2021 Jan 21. PMID: 33513496; PMCID: PMC7825999. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 121.Ou X., Liu Y., Lei X., Li P., Mi D., Ren L., Guo L., Guo R., Chen T., Hu J., Xiang Z., Mu Z., Chen X., Chen J., Hu K., Jin Q., Wang J., Qian Z. Characterization of spike glycoprotein of SARS-CoV-2 on virus entry and its immune cross-reactivity with SARS-CoV. Nat. Commun. 2020 Mar 27;11(1):1620. doi: 10.1038/s41467-020-15562-9. Erratum in: Nat Commun. 2021 Apr 1;12(1):2144. PMID: 32221306; PMCID: PMC7100515. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 122.Sherchan S.P., Shahin S., Ward L.M., Tandukar S., Aw T.G., Schmitz B., Ahmed W., Kitajima M. First detection of SARS-CoV-2 RNA in wastewater in North America: a study in Louisiana, USA. Sci. Total Environ. 2020 Nov 15;743 doi: 10.1016/j.scitotenv.2020.140621. Epub2020.Jun.30. PMID: 32758821; PMCID: PMC7833249. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123.Agrawal S., Orschler L., Lackner S. Long-term monitoring of SARS-CoV-2 RNA in wastewater of the Frankfurt metropolitan area in Southern Germany. Sci. Rep. 2021 Mar 8;11(1):5372. doi: 10.1038/s41598-021-84914-2. PMID: 33686189; PMCID: PMC7940401. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124.Randazzo W., Truchado P., Cuevas-Ferrando E., Simón P., Allende A., Sánchez G. SARS-CoV-2 RNA in wastewater anticipated COVID-19 occurrence in a low prevalence area. Water Res. 2020 Aug 15;181 doi: 10.1016/j.watres.2020.115942. Epub 2020 May 16. PMID: 32425251; PMCID: PMC7229723. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 125.Baldovin T., Amoruso I., Fonzo M., Buja A., Baldo V., Cocchio S., Bertoncello C. SARS-CoV-2 RNA detection and persistence in wastewater samples: an experimental network for COVID-19 environmental surveillance in Padua, Veneto Region (NE Italy) Sci. Total Environ. 2021 Mar 15;760 doi: 10.1016/j.scitotenv.2020.143329. Epub 2020 Nov 2. PMID: 33187717; PMCID: PMC7605742. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 126.Nasseri S., Yavarian J., Baghani A.N., Azad T.M., Nejati A., Nabizadeh R., Hadi M., Jandaghi N.Z.S., Vakili B., Vaghefi S.K.A., Baghban M., Yousefi S., Nazmara S., Alimohammadi M. The presence of SARS-CoV-2 in raw and treated wastewater in 3 cities of Iran: Tehran, Qom and Anzali during coronavirus disease 2019 (COVID-19) outbreak. J. Environ. Health Sci. Eng. 2021 Feb 24;19(1):573–584. doi: 10.1007/s40201-021-00629-6. PMID: 33643658; PMCID: PMC7903026. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 127.Fongaro G., Hermes Stoco P., Sobral Marques Souza D., Grisard E.C., Magri M.E., Rogovski P., Schorner M.A., Hartmann Barazzetti F., Christo A.P., de Oliveira L.F.V., et al. SARS-CoV-2 in human sewage in santa catalina, Brazil, November 2019. Sci. Total Environ. 2021;778 doi: 10.1016/j.scitotenv.2021.146198. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 128.Lodder W., de Roda Husman A.M. SARS-CoV-2 in wastewater: potential health risk, but also data source. Lancet Gastroenterol. Hepatol. 2020 Jun;5(6):533–534. doi: 10.1016/S2468-1253(20)30087-X. Epub 2020 Apr 1. PMID: 32246939; PMCID: PMC7225404. [DOI] [PMC free article] [PubMed] [Google Scholar]

