| Literature DB >> 34252782 |
Zhongchuang Liu1, Krzysztof Skowron2, Katarzyna Grudlewska-Buda2, Natalia Wiktorczyk-Kapischke2.
Abstract
Coronavirus disease 2019 (COVID-19) is the most influential infectious disease to emerge in the early 21st century. The outbreak of COVID-19 has caused a great many deaths and has had a negative impact on the world's economic development. The etiological agent of COVID-19 is severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). SARS-CoV-2, which is highly infectious and variable, can be transmitted through different environmental media (gaseous, liquid, and solid). There are many unanswered questions surrounding this virus. This review summarizes the current knowledge on the latest global COVID-19 epidemic situation, SARS-CoV-2 variants, the progress in SARS-CoV-2 vaccine use, and the existence and spread of SARS-CoV-2 in gaseous, liquid, and solid media, with particular emphasis on the prevention and control of further spread of the disease. This review aims to help people worldwide to become more familiar with the transmission characteristics of SARS-CoV-2 in environmental media, so as targeted measures to fight the epidemic, reduce deaths, and restore the economy can be implemented under the pressure of global SARS-CoV-2 vaccine shortages.Entities:
Keywords: COVID-19; Control measures; Different environmental media; Early warning; Transmission
Year: 2021 PMID: 34252782 PMCID: PMC8262394 DOI: 10.1016/j.scitotenv.2021.148949
Source DB: PubMed Journal: Sci Total Environ ISSN: 0048-9697 Impact factor: 7.963
Transmission models SARS-CoV-2 via gas media.
| Model | Propagation law | Risk transmission | References |
|---|---|---|---|
| Public transport model | high proportion of virus particles exhaled from patients infected with COVID-19 were deposited on the inner walls and seat surfaces of buses; the particle size and position of air vents affected aerosol diffusion, and small virus-containing aerosols had longer suspension times and diffusion distances in the air | Small virus-containing aerosols represented a substantial hazard to more distant passengers | |
| Indoor microenvironment model | high SARS-CoV-2 emission rates were associated with asymptomatic COVID-19 carriers performing vocalizations during light activities (i.e., walking slowly); symptomatic patients mostly had a low SARS-CoV-2 emission rates | High in contact with asymptomatic patients | |
| Box model | average outdoor concentrations of SARS-CoV-2 were very low in public areas (excluding crowded areas); theoretically, atmospheric particles cannot scavenge viral aerosols through inertial impact, interception, or Brownian diffusion; the probability of virus carrying aerosols condensing with pre-existing atmospheric particles is negligible for cumulative and coarse model particles | Low in public areas | |
| Restaurant model | there was a remarkably direct link between restaurants in regions with a high aerosol exposure index and reported infection patterns | High in indoor restaurants (correlated with a high number of COVID-19 cases in a given region) |
SARS-CoV-2 RNA found in wastewater or river water in different countries.
| Country | Samples | Sampling time | Detection method | Genome copies / mL or Positive rate (%) | References |
|---|---|---|---|---|---|
| Netherlands | Composite samples of raw sewage from WWTP | March 4/5/15/16/25, 2020 | RT-PCR | 2.6–1800 | |
| Australia | Composite samples of raw sewage from WWTP | March 27, April 1, 2020 | RT-qPCR | 1.9 × 10−2-12 × 10−2 | |
| USA | Composite samples of raw sewage from WWTP | March 18/22/23/24/25, 2020 | RT-qPCR | 57–303 (mean titer) | |
| Composite samples of raw sewage from WWTP | May 6/13, 2020 | RT-qPCR | 7.5–112 (mean titer) | ||
| Composite and grab samples of raw sewage from WWTP | April 8/29, 2020 | RT-qPCR | 3.1–7.5 | ||
| Spain | Influent and secondary treated water samples from WWTP | March 12/16/18/26, April 2/7/14, 2020 | RT-qPCR | 83% (influent), 11% (secondary treated water) | |
| Composite and frozen archival samples of raw sewage from WWTP | March 12, 2019; January 15, February 5, March 4/31, April 13/19/27,May 4/11/18/25, 2020 | RT-qPCR | <105 | ||
| Influent and outflow primary samples from WWTP | April 6/7/14/16/21, 2020 | RT-qPCR | 2.15–9.8 (influent) (mean titer), 4.2 (outflow primary) (mean titer) | ||
| Brazil | Urban raw sewage samples from a sewage system | November 27, December 11, 2019; February 20, March 4, 2020 | RT-qPCR | 5.49log10 × 10−3-6.68log10 × 10−3 | |
| Raw sewage samples from sewers network and WWTP | April 15, 2020 | RT-qPCR | 41.6% | ||
| France | Composite samples of raw sewage from WWTP | March 5–April 23, 2020 | RT-qPCR | 50–3000 | |
| Composite samples of raw sewage from WWTP | February 24/28, March 31, April 2, 2020 | Nested RT-PCR, RT-qPCR | 50% | ||
| Italy | Grab samples of raw sewage from WWTP and water from rivers | April 14/22, 2020 | RT-PCR | 50% (raw sewage), 66.7% (river water) | |
| China | Sewage samples from the inlet and outlet of preprocessing disinfection pool from isolation wards | February 19–24, 2020 | RT-PCR | 100% (inlet), 100% (outlet) | |
| Chile | Composite samples of influent and effluent from WWTP | May 25, June 15, 2020 | RT-qPCR | 354–4805 (influent), 10–167 (effluent) | |
| India | Raw sewage from WWTP and hospitals | May 4/20/26, June 8/12, 2020 | RT-PCR | 41.7% (raw sewage from WWTP), 20% (raw sewage from hospitals) | |
| Israel | Influent from WWTP | May 8/27, 2020 | RT-PCR | 56 × 10−3-350 × 10−3 (maximum titer) | |
| Raw sewage from WWTP and sewer network of hospitals | March 30, April 3/13/16/21, 2020 | RT-qPCR | 17.6% (WWTP), 77.8% (sewer network) | ||
| Turkey | Composite raw sewage from WWTP and grab raw sewage from manholes | April 21/25, 2020 | RT-qPCR | 2.89–18 (WWTP), 44.9–93.3 (manholes) | |
| Influent and effluent from WWTP | May–June 2020 | RT-qPCR | 2.7–8.2 × 103 (influent), 6–7.6 × 103 (effluent) | ||
| Czech Republic | Raw sewage from WWTP | April–June (week 18, week 19, week 20, week 22), 2020 | RT-qPCR | 11.6% | |
| Japan | Grab secondary-treated wastewater from WWTP | April 14, 2020 | Nested RT-PCR, RT-qPCR | 2.4 | |
| Ecuador | River water | June 5, 2020 | RT-qPCR | 207–3190 | |
| Iran | Influent and effluent from WWTP | June 30, July 10/21/31, 2020 | RT-qPCR | 100% (influent), 80% (effluent) | |
| United Arab Emirates | Untreated wastewater samples from pumping stations, cities and airports | April 22/28, May 4, May 7–July 7, 2020 | RT-PCR | 22.2% (pumping stations), 28.6% (cities), 13.6% (airports) | |
| Germany | Influent and effluent from WWTP | April 8, 2020 | RT-PCR | 3–20 (influent), 2.7–37 (effluent) | |
| Mexico | Influent from WWTP | April 30, May 14/21, June 4/18/25, July 3, 2020 | RT-PCR | 36% |
WWTP: Wastewater treatment plants. RT-PCR: Real-time polymerase chain reaction. RT-qPCR: Real-time quantitative polymerase chain reaction.
Fig. 1Possible transmission routes for SARS-CoV-2 in various environmental media.
Fig. 2Disinfection methods for SARS-CoV-2 in wastewater treatment plants and personal protective measures workers.
Fig. 3Disinfection methods for SARS-CoV-2 in waste treatment plants and protective measures for solid waste transfer workers.