| Literature DB >> 33092831 |
Sanjeeb Mohapatra1, N Gayathri Menon2, Gayatree Mohapatra3, Lakshmi Pisharody4, Aryamav Pattnaik5, N Gowri Menon6, Prudhvi Lal Bhukya7, Manjita Srivastava7, Meenakshi Singh8, Muneesh Kumar Barman9, Karina Yew-Hoong Gin10, Suparna Mukherji11.
Abstract
The contagious SARS-CoV-2 virus, responsible for COVID-19 disease, has infected over 27 million people across the globe within a few months. While literature on SARS-CoV-2 indicates that its transmission may occur predominantly via aerosolization of virus-laden droplets, the possibility of alternate routes of transmission and/or reinfection via the environment requires considerable scientific attention. This review aims to collate information on possible transmission routes of this virus, to ascertain its fate in the environment. Concomitant with the presence of SARS-CoV-2 viral RNA in faeces and saliva of infected patients, studies also indicated its occurrence in raw wastewater, primary sludge and river water. Therefore sewerage system could be a possible route of virus outbreak, a possible tool to assess viral community spread and future surveillance technique. Hence, this review looked into detection, occurrence and fate of SARS-CoV-2 during primary, secondary, and tertiary wastewater and water treatment processes based on published literature on SARS-CoV and other enveloped viruses. The review also highlights the need for focused research on occurrence and fate of SARS-CoV-2 in various environmental matrices. Utilization of this information in environmental transmission models developed for other enveloped and enteric viruses can facilitate risk assessment studies. Preliminary research efforts with SARS-CoV-2 and established scientific reports on other coronaviruses indicate that the threat of virus transmission from the aquatic environment may be currently non-existent. However, the presence of viral RNA in wastewater provides an early warning that highlights the need for effective sewage treatment to prevent a future outbreak of SARS-CoV-2.Entities:
Keywords: Faecal-oral transmission; SARS-CoV-2; Transmission; Wastewater; Water treatment
Year: 2020 PMID: 33092831 PMCID: PMC7536135 DOI: 10.1016/j.scitotenv.2020.142746
Source DB: PubMed Journal: Sci Total Environ ISSN: 0048-9697 Impact factor: 7.963
Fig. 1Schematic representation of the possible transport processes and fate of SARS-CoV-2 in the environment.
Fig. 2Interaction of SARS-CoV-2 with the host cell membrane at ACE2 membrane receptor.
Fig. 3Known and possible modes of human-to-human transmission of SARS-CoV-2.
The red arrows indicate those transmission modes that are hitherto scientifically and medically validated and constitute a known threat of transmission. The black arrows indicate possible transmission mechanisms that need more scientific evidence for confirmation as threats.
1. The virus is shed via small droplets or aerosols generated by sneezing, coughing or exhalation by a sick person.
2. Evaporation of the droplets lead to viruses remaining suspended in the air, infecting healthy individuals.
3. Further, from air, the virus can settle on inanimate surfaces, including wood, plastic or metal surfaces, where they survive for long periods.
4. Shedding of SARS-CoV-2 virus is observed in faeces, urine and saliva of infected individuals, thus leading to entry of the virus into the sewer systems and sewage treatment plants.
5. Aerosolization of water containing the virus during toilet flushes or during wastewater collection and aeration can again lead to transmission of COVID19 disease via droplets.
6. Viral particles in the saliva and stools of patients can lead to nosocomial infections as the viral load increases with increase in number of infected patients.
7. While there are no evidences of infection hitherto available, viral contamination can occur via sewage treatment plant effluents, which enter surface waters and/or non-potable water sources. This pathway can also indirectly affect healthy individuals who are engaged in recreational activities, such as, swimming or gardening utilizing contaminated water resources.
Fig. 4Steps involved in droplet mode of transmission of SARS-CoV-2 virus.
The vertical arrows are used to pictorially illustrate the evaporation of droplets, leading to suspension of viruses in air. The term ‘risk’ in the figure denotes the risk of transmission from one point to another and not the risk of infection. The mean droplet size values were obtained from Chattopadhyay and Taft, (2018) and Liu et al. (2020b).
Studies indicating the presence of SARS-CoV-2 virus in gastrointestinal samples.
| Sample | Country | No. of patients tested | No. of patients positive for oral-faecal shedding | Type of virus detected | Concentration of detected in the study | Total number of days of faecal-oral shedding | Reference |
|---|---|---|---|---|---|---|---|
| RT-PCR of rectal swabs | China | 10 | 8 (including 1 asymptomatic case) | Viral RNA | – | 27 | |
| RT-PCR of stool | USA | 1 | 1 | Viral RNA | ~ 2.2 × 103 copies/mL | – | |
| RT-PCR of urine and stool | China | 73 | 39 (+ in faeces), 0 (+ in urine) | Viral RNA and nucleocapsids | – | 1–12 days during disease period, up to 17 days after symptoms subsided | |
| RT-PCR of urine and stools | China | 153 | 44 (+ in faeces), 0 (+ in urine) | Viral RNA and live, infectious viruses (using imaging) | <2.6 × 104 copies/mL | 47 days (cumulative) | |
| RT-PCR of oral (saliva) and anal swabs | China | 39 (15 after medical treatment) | 8 (+ in saliva), 4 (+ in anal swabs), 2 (+ in both) | Viral RNA | ~4.7 × 103 copies/mL (in saliva) | – | |
| RT-PCR of stool samples | China | 9 | 6 (5 were readmitted after discharge due to prolonged faecal shedding) | Viral RNA | – | – | |
| RT-PCR of stool samples | China | 14 | 5 | Viral RNA | – | – | |
| RT-PCR of stool samples | China | 74 | 41 | Viral RNA | Mean of 27.9 days after first symptom onset | ||
| RT-PCR of stool samples | Hong Kong | 59 | 9 | Viral RNA | 5.1 × 105 copies/mL in patients with diarrhea | – | |
| RT-PCR of stool and urine samples | China | 42 | 28 (+ for faeces), 0 (+ for urine) | Viral RNA | – | 6–10 days after nasal samples were negative | |
| RT-PCR of stool | China | 3 | 3 | Viral RNA | ~7.9 × 103 copies/mL in 1 patient on 20th day after negative throat swab | 8–20 days after throat swab negative | |
| RT-PCR of urine, faecal or anal swab and gastric fluid samples | China | 16 | 1 (+ in urine), 6 (+ in gastric fluid), 11 (+in faeces), 4 (+ in anal swabs) | Viral RNA | – | – | |
| RT-PCR of anal swabs | China | 69 discharged patients | 4 | Viral RNA and nucleocapsid protein RNA | 255 copies/mL of viral RNA, 1.3 × 103 copies/mL of nucleocapsid protein RNA | 9–25 days after discharge |
From date of admission or initial testing.
The studies were conducted in 4 patient samples that had a high concentration of viral RNA.
Some patients tested positive in more than one sample drawn but were reported as independent cases in the study.
Details of sample collection, analysis and concentration of SARS-CoV-2 and other enveloped viruses.
| Country | Sewage or hospital wastewater | Sampling (grab or composite) | Sample pre-processing steps | Concentration method | Amount of sample (mL) | Quantitative technique used | Recovery | Concentration (copies/L) | Limit of quantification (copies/L) | Target virus | References |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Australia | Sewage | Composite | a) pH adjustment, | a) Electronegative membrane filter | 100–200 | RT-qPCR | – | 0–120 | – | SARS Cov-2 | |
| USA | Sewage | Composite and grab | Centrifugation | Ultrafiltration/electronegative filter | 1000 | RT PCR | 54–56% | 0–103 | 102 | SARS-CoV-2 | |
| USA | Sewage | Grab and composite | – | NanoCeram | 18,000 | RT PCR | – | 104–105 | – | SARS-CoV-2 | |
| USA | Sewage | Grab and composite | Membrane filtration | Ultrafiltration | 500 | RT PCR | – | 10–104 | – | SARS Cov-2 | |
| USA | Sewage | Composite | Membrane filtration | Polyethylene glycol (PEG) precipitation | 40 | RT PCR | – | 0–105 | – | SARS Cov-2 | |
| Brazil | Sewage | Composite | – | Ultracentrifugation | 40 | RT PCR | – | Qualitative | – | SARS-CoV-2 | |
| Spain | Sewage | Composite | – | Aluminum hydroxide adsorption-precipitation | 200 | RT PCR | – | 0–5.5 | 4.45 | SARS Cov-2 | |
| France | Sewage | Composite | Centrifugation & filtration | 50 kDa MWCO filter membrane | 50 | RT PCR | – | 0–103 | – | SARS-CoV-2 | |
| France | Sewage | Composite | Not available | Ultracentrifugation | 11 | RT PCR | – | >106 | 103 | SARS Cov-2 | |
| Italy | Sewage | Composite | Filtration | PEG/dextran | 250 | Nested PCR | – | Qualitative | – | SARS-CoV-2 | |
| Germany | Sewage | Composite | Centrifugation | Ultrafiltration | 45 | RT PCR | – | 2.7×103 to 3.7×104 | – | SARS-CoV-2 | |
| Switzerland | Sewage | Composite | Membrane filtration | a) Electronegative membrane filter | 500 | RT PCR | 12–71% | 0–106 | 104 | Hepatitis E virus, adenovirus and norovirus | |
| Netherlands | Sewage | Composite | Centrifugation | Ultrafiltration | 250 | RT PCR | 70 ± 50% | Qualitative | – | SARS Cov-2 | |
| India | Sewage | Composite | Centrifugation & filtration | PEG precipitation | 50 | RT PCR | – | 0–8.05 × 102 | – | SARS Cov-2 | |
| Turkey | Sewage | Composite | Centrifugation | Ultrafiltration and PEG precipitation | 250 | RT PCR | – | 0–9.33 × 104 | – | SARS Cov-2 | |
| Israel | Sewage | Composite | Filtration | PEG/alum precipitation | 250–1000 | RT PCR | – | Qualitative | – | SARS Cov-2, Adenovirus, MS2 | |
| Australia (aircraft and cruise) | Sewage | Grab | – | Ultrafiltration/electronegative filter | 1000 | RT PCR | – | 0–8.8 ∗ 103 | – | SARS-CoV-2 | |
| Japan | Sewage and river water | Grab | – | Electronegative membrane-vortex (EMV) and membrane adsorption | 200–5000 | qPCR and nested PCR | – | 0–104 | – | SARS-CoV-2 | |
| Italy | Sewage, river | Composite and grab | – | – | 500 | RT PCR | – | Qualitative | – | SARS Cov-2 | |
| Ecuador | River water | Grab | Preconditioning with 1 N HCl | Skimmed milk flocculation | 2000 | RT PCR | – | 105–106 | – | SARS-CoV-2 and Adenovirus | |
| Turkey | Sludge | Grab | Centrifugation & filtration | PEG 8000 adsorption | 250 | RT PCR | – | 1.17×104 to 4.02×104 | – | SARS-CoV-2 | |
| USA | Primary sludge | – | – | – | 2.5 | RT PCR | – | 1.7 × 106–4.6 × 108 | – | SARS-CoV-2 | |
| USA | Sewage, sludge, soil and pond water | Composite | – | Aluminum Flocculation | 5000–20,000 | PCR | – | Qualitative | – | HIV | |
| Saudi Arabia | Surface water samples | Composite | – | Glass wool (VIRADEL) | 10,000 | RT PCR | 4.5%–5.1% | 101–104 | – | Hepatitis A virus and coronavirus | |
| South Africa | Sewage | Composite | Filtration | HA filter | 1000 | qPCR | – | 0–105 | 104 | Hepatitis A virus, adenovirus norovirus, and coliforms | |
| China | Hospital effluent | Composite | – | Electropositive filter media | 100 | RT PCR | – | Qualitative | 103 | SARS Coronavirus |
Fig. 5Schematic representation of sample preparation steps of SAR-CoV-2 RNA in wastewater.
Fig. 6Persistence of MHV and SARS-CoV-2 genetic material in various sample matrices at varying temperature.
The error bars represent standard deviation. t90 represents the time required for 1 log10 unit reduction. MHV refers to murine hepatitis virus
Fig. 7Effect of chlorination, UV irradiation and heat treatment on SARS-CoV-2 viral structure.