| Literature DB >> 33261988 |
Surindra Suthar1, Sukanya Das2, Ajay Nagpure3, Chaithanya Madhurantakam4, Satya Brat Tiwari5, Pallavi Gahlot5, Vinay Kumar Tyagi6.
Abstract
The COVID-19 pandemic caused by SARS-CoV-2 has emerged as a global issue of concern for public health, environment and socio-economic setup. This review addresses several aspects of epidemiology, and pathogenesis, environmental resource quality (air quality, hazardous waste management, and wastewater surveillance issues), and socio-economic issues worldwide. The accelerated research activity in the development of diagnostic kits for SARS-CoV-2 is in progress for the rapid sequencing of various strains of SARS-CoV-2. A notable reduction in air pollutants (NO2 and PM2.5) has been observed worldwide, but high air polluted cities showed intense mortalities in COVID-19 affected areas. The use of health safety equipment halted transportation, and work-from-home policy drastically impacted the quantity of solid and hazardous wastes management services. Wastewater appeared as another mode of enteric transmission of SARS-CoV-2. Thus, wastewater-based surveillance could act as a mode of the data source to track the virus's community spread. The pandemic also had a substantial socio-economic impact (health budget, industrial manufacturing, job loss, and unemployment) and further aggravated the countries' economic burden.Entities:
Keywords: Air pollution; COVID-19; Socio-economic aspects; Solid waste management; Wastewater surveillance
Year: 2020 PMID: 33261988 PMCID: PMC7687413 DOI: 10.1016/j.jenvman.2020.111700
Source DB: PubMed Journal: J Environ Manage ISSN: 0301-4797 Impact factor: 6.789
Fig. 1SARS-CoV-2 pictorial representation depicting structural and functional proteins (a) and genomic segments responsible for generation of a functional viral particle (b).
Fig. 2SARS-CoV-2: Modes of transmission and precautionary measures along with survival on various surfaces (Sources: Nghiem et al., 2020a; Steffens, 2020).
A global summary of coronavirus outbreaks, epidemiological statistics, and clinical manifestations.
| Characteristic feature | SARS-CoV (Severe Acute Respiratory Syndrome -Coronavirus) ( | MERS-CoV (Middle East Respiratory Syndrome- Coronavirus) ( | SARS-CoV-2 (Severe Acute Respiratory Syndrome -Coronavirus −2) ( | |
|---|---|---|---|---|
| Incidence and source | Disease | SARS | MERS | COVID-19 |
| Nature of the disease | Epidemic | Epidemic | Pandemic | |
| Origin | Bats, Palm Civets | Dromedary Camels | Bats | |
| Outbreak detected | February 2003 Guangdong, China | September 2012 Saudi Arabia | December 2019 Wuhan, China | |
| Transmission | Zoonotic, Nosocomial, Human to human | Zoonotic, Nosocomial, Human to Human | Zoonotic, Nosocomial, Human to Human | |
| Epidemiological statistics | Basic reproduction number (R0) | 0.19–1.08 ( | 2.0–5.0 ( | 2.2–2.7 ( |
| Incubation time (in days) | 2–7 | 2–6 | 2–14 | |
| Laboratory confirmed cases | 8098 | 2494 | 7,805,148 | |
| No. of deaths reported (fatality rate -%) | 774 (9.55) | 858 (34.4) | 431192 (5.52) | |
| No. of countries affected | 26 | 27 | 216 | |
| Clinical manifestations | Human angiotensin-converting enzyme 2 (ACE2) | Human dipeptidyl peptidase 4(DPP4 or CD26) | Human angiotensin-converting enzyme 2 (ACE2) | |
| Fever, malaise, myalgia, headache, diarrhea, and shivering (rigors) | Fever, chills/rigors, headache, non-productive cough, dyspnea, and myalgia | Fever, dry cough, and tiredness | ||
| Cough (initially dry), shortness of breath, and diarrhea | Sore throat, coryza, sputum production, nausea and vomiting, dizziness, diarrhea, and abdominal pain | Aches and pains, sore throat, diarrhea, conjunctivitis, headache, loss of taste or smell, a rash on the skin, or discoloration of fingers or toes | ||
| Pneumonia and respiratory failure, heart, and liver failure. | Febrile upper respiratory tract illness leading to pneumonia. Acute respiratory distress syndrome (ARDS), refractory hypoxemia, and extrapulmonary complications. | Difficulty breathing or shortness of breath, chest pain or pressure, loss of speech or movement. Viral pneumonia and ARDS | ||
| Diabetes and Hepatitis | Diabetes, renal failure, chronic lung disease, immunocompromised persons | Diabetes, chronic lung disease, immunocompromised persons, severe obesity, renal and heart problems |
Fig. 3NO2 concentration comparison between five-year average (2015–2019) and year 2020 for same months (January 2020 and June 2020) in three severally affected parts of the world by COVID-19 (a) USA, (b) Europe, and (c) Asia. Source: Global Nitrogen Dioxide Program (Source: NASA, 2020b).
Fig. 4PM2.5 reductions in 10 major cities worldwide during the period 23 March – 13 April 2020 of the COVID-19 (Source: IQAir, 2020).
Fig. 5Wastewater surveillance as an early warning system for COVID-19 (Randazzo et al., 2020a).
Findings of testing SARS-CoV-2 in Wastewater at Different WWTP during the year 2020.
| Country | Sampling | Outcomes | Reference | ||
|---|---|---|---|---|---|
| Location | Sample Type | Duration | |||
| Australia | WWTP Pumping station. | Raw wastewater | 7 days (February–April) | Monte Carlo simulation used to predict the median range of affected individuals in the WWTP catchment. Numbers similar to clinical observation. | |
| France | WWTP | Raw wastewater | 2 months (March–April) | RNA concentration in wastewater increased simultaneously with reported cases. Lockdown reduced the viral loading in wastewater. | |
| Israel | WWTP, Sewer network Hospitals | Raw wastewater | 10 days (March–April) | Presented a “dose-dependent” curve relating viral surveillance with number of infected persons (though more data warranted) | |
| Italy | WWTP | Raw wastewater | 8 days (February–April) | The first confirmation of viral RNA fragments in wastewater from Italy. The method is sensitive to even low infections. | |
WWTP Two rivers (receiving discharge from WWTP) | Raw and treated wastewater River water samples | 2 days (April) | Untreated sewage tested positive while treated were negative. Variations in RNA concentration followed the clinical trend. Some positive PCR signal was obtained in river water. | ||
| Netherlands | WWTPs (8 no.) | Raw wastewater | March: Before the outbreak, Outbreak started, Outbreak spread | First detection of SARS-CoV-2 fragments in wastewater, globally. WBE is useful even in low prevalence regions. Predicted the contagion even before clinical reporting of cases. | |
| Spain | WWTPs (6 no.) | Raw and treated wastewater | March–April | SARS-CoV-2 was circulating in the community even before cases were detected. RNA concentration decreased with subsequent treatment stages at the WWTPs. | |
WWTPs (3 no.) | Raw and treated wastewater | February–April | RNA fragments increased and plateaued in sewage faster than reported cases showing the sensitivity of WBE to the contagion. | ||
| Turkey | WWTPs (7 no.) Manholes near hospitals (2 no.) | Raw wastewater | April | The epidemy trend concurred not only with clinical surveillance but also wastewater surveillance. RNA concentration higher in manhole samples compared to WWTP samples. | |
WWTPs (9 no.) | Sludge: Primary and waste activated sludge | May | First study globally on the fate of SARS-CoV-2 in sludge. Detection of SARS-CoV-2 in primary sludge similar to waste activated sludge. | ||
| USA | WWTP | Raw wastewater | March | Viral concentration higher than clinical cases reported though the reason is unclear. It doesn't mean medical data flawed. Samples can be stored at 4C for more than a week without much loss of signal. | |
WWTP | Raw wastewater | March–April | Composite sampling may be the most reliable to get a daily trend of viral concentration in sewage. Viral RNA concentration decreased with time suggesting efficacy of social isolation measures. | ||
Fig. 6MSW collection in urban areas of developing countries and its possible role in COVID-19 dispersal.
Fig. 7Pseudo 3D plot.