Environmental survival of SARS-CoV-2 – A solid waste perspective

https://doi.org/10.1016/j.envres.2021.111015Get rights and content

Highlights

  • Countries are maximizing their efforts to combat the virus and minimize infection.

  • The PPM is hugely by the healthcare professionals as well as common man.

  • Disposal of these PPM remains huge question mark towards environmental impact.

  • Safe disposal of these PPM by using the safe and secure biological methods.

Abstract

The advent of COVID-19 has kept the whole world on their toes. Countries are maximizing their efforts to combat the virus and to minimize the infection. Since infectious microorganisms may be transmitted by variety of routes, respiratory and facial protection is required for those that are usually transmitted via droplets/aerosols. Therefore this pandemic has caused a sudden increase in the demand for personal protective equipment (PPE) such as gloves, masks, and many other important items since, the evidence of individual-to-individual transmission (through respiratory droplets/coughing) and secondary infection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). But the disposal of these personal protective measures remains a huge question mark towards the environmental impact. Huge waste generation demands proper segregation according to waste types, collection, and recycling to minimize the risk of infection spread through aerosols and attempts to implement measures to monitor infections. Hence, this review focuses on the impact of environment due to improper disposal of these personal protective measures and to investigate the safe disposal methods for these protective measures by using the safe, secure and innovative biological methods such as the use of Artificial Intelligence (AI) and Ultraviolet (UV) lights for killing such deadly viruses.

Keywords

COVID-19
Personnel protective equipment (PPE)
Biomedical waste
Environmental damage
Artificial intelligence
Biomedical waste management

Abbreviations

Adaptive Neurofuzzy Inference System
ANFIS
Antibiotic-resistance genes
ARGs
Antibiotic-resistant bacteria
ARB
Artificial Neural Network
ANN
Biomedical Waste
BMW
Central Pollution Control Board
CPCB
Coronavirus disease 2019
COVID-19
General Packet Radio Service
GPRS
Genetic Algorithm
GA
Geographic Information Systems
GIS
Global Positioning System
GPS
Internet of Things
IoT
Personal protective equipment
PPE
Radio frequency identification
RFID
Remote Sensing
RS
Severe acute respiratory syndrome coronavirus 2
SARS-CoV-2
Support Vector Machine
SVM
Ultraviolet
UV
Very high frequency radio
VHFR
Waste mismanagement
WM
World Health Organization
WHO

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1

Equal contribution.

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