| Literature DB >> 33655084 |
Nsikak U Benson1, David E Bassey2, Thavamani Palanisami3.
Abstract
Plastic products have played significant roles in protecting people during the COVID-19 pandemic. The widespread use of personal protective gear created a massive disruption in the supply chain and waste disposal system. Millions of discarded single-use plastics (masks, gloves, aprons, and bottles of sanitizers) have been added to the terrestrial environment and could cause a surge in plastics washing up the ocean coastlines and littering the seabed. This paper attempts to assess the environmental footprints of the global plastic wastes generated during COVID-19 and analyze the potential impacts associated with plastic pollution. The amount of plastic wastes generated worldwide since the outbreak is estimated at 1.6 million tonnes/day. We estimate that approximately 3.4 billion single-use facemasks/face shields are discarded daily as a result of COVID-19 pandemic, globally. Our comprehensive data analysis does indicate that COVID-19 will reverse the momentum of years-long global battle to reduce plastic waste pollution. As governments are looking to turbo-charge the economy by supporting businesses weather the pandemic, there is an opportunity to rebuild new industries that can innovate new reusable or non-plastic PPEs. The unanticipated occurrence of a pandemic of this scale has resulted in unmanageable levels of biomedical plastic wastes. This expert insight attempts to raise awareness for the adoption of dynamic waste management strategies targeted at reducing environmental contamination by plastics generated during the COVID-19 pandemic.Entities:
Keywords: Biomedical plastic waste; COVID-19; Effective; Plastic pollution; Single-use plastics; Waste management
Year: 2021 PMID: 33655084 PMCID: PMC7896824 DOI: 10.1016/j.heliyon.2021.e06343
Source DB: PubMed Journal: Heliyon ISSN: 2405-8440
Figure 1Types of plastic based biomedical wastes originated during COVID-19 pandemic.
Reported COVID-19 cases, deaths, and estimated total plastic waste generation by region, measured in tonnes.
| Region | Population | Total COVID-19 cases | Total COVID-19 deaths | Facemask acceptance rate by population (%) | Average Facemask/capita/day | Estimated daily facemask disposed | Estimated plastic waste generated (Tonnes) | Estimated plastic waste generated per day (Tonnes) |
|---|---|---|---|---|---|---|---|---|
| Africa | 1,340,598,147 | 212,271 | 5,718 | 70 | 1 | 411,814,854 | 100,544,861 | 275,465 |
| Asia | 4,641,054,775 | 1,470,640 | 37,222 | 80 | 1 | 1,875,181,681 | 348,079,108 | 953,641 |
| Europe | 747,636,026 | 2,149,248 | 181,138 | 80 | 1 | 445,022,934 | 56,072,702 | 153,623 |
| South America | 653,952,454 | 1,267,858 | 54,648 | 75 | 1 | 380,414,703 | 49,046,434 | 134,373 |
| North America | 368,869,647 | 2,361,458 | 140,399 | 80 | 1 | 244,335,150 | 27,665,223 | 75,795 |
| Oceania | 42,677,813 | 8,896 | 124 | 75 | 1 | 21,682,379 | 3,200,836 | 8,769 |
Data retrieved from https://www.worldometers.info/population/on June 02, 2020.
Data retrieved from https://www.worldometers.info/population/on June 11, 2020.
Hypothetical data.
Figure 2Estimated daily single-use facemasks (face shields) discarded by each continent.
Figure 3Estimated global share of face masks discarded as COVID-waste generated from a given. Country. Map created with mapchart.net©.
Estimated daily COVID-19 facemasks and global plastic waste generation by country prior to management.
| Rank | Country | Population | Urban Population (%) | Facemask acceptance rate by population (%) | Average facemask per capita per day | Estimated daily facemask discarded | Total estimated plastic waste (tonnes) |
|---|---|---|---|---|---|---|---|
| 1 | China | 1,439,323,776 | 61 | 80 | 1 | 702,390,002 | 107,949,283.20 |
| 2 | India | 1,380,004,385 | 35 | 80 | 1 | 386,401,228 | 103,500,328.90 |
| 3 | United States | 331,002,651 | 83 | 80 | 1 | 219,785,760 | 24,825,198.80 |
| 4 | Brazil | 212,559,417 | 88 | 75 | 1 | 140,289,215 | 15,941,956.30 |
| 5 | Indonesia | 273,523,615 | 56 | 80 | 1 | 122,538,579 | 20,514,271.10 |
| 6 | Japan | 126,476,461 | 92 | 80 | 1 | 93,086,675 | 9,485,734.58 |
| 7 | Russia | 145,934,462 | 74 | 80 | 1 | 86,393,201 | 10,945,084.70 |
| 8 | Mexico | 128,932,753 | 84 | 75 | 1 | 81,227,634 | 9,669,956.48 |
| 9 | Nigeria | 206,139,589 | 52 | 70 | 1 | 75,034,810 | 15,460,469.20 |
| 10 | Pakistan | 220,892,340 | 35 | 80 | 1 | 61,849,855 | 16,566,925.50 |
| 11 | Bangladesh | 164,689,383 | 39 | 80 | 1 | 51,383,087 | 12,351,703.70 |
| 12 | Turkey | 84,339,067 | 76 | 80 | 1 | 51,278,153 | 6,325,430.03 |
| 13 | Iran | 83,992,949 | 76 | 80 | 1 | 51,067,713 | 6,299,471.18 |
| 14 | Germany | 83,783,942 | 76 | 80 | 1 | 50,940,637 | 6,283,795.65 |
| 15 | United Kingdom | 67,886,011 | 83 | 80 | 1 | 45,076,311 | 5,091,450.83 |
| 16 | France | 65,273,511 | 82 | 80 | 1 | 42,819,423 | 4,895,513.33 |
| 17 | Philippines | 109,581,078 | 47 | 80 | 1 | 41,202,485 | 8,218,580.85 |
| 18 | South Korea | 51,269,185 | 82 | 80 | 1 | 33,632,585 | 3,845,188.88 |
| 19 | Italy | 60,461,826 | 69 | 80 | 1 | 33,374,928 | 4,534,636.95 |
| 20 | Argentina | 45,195,774 | 93 | 75 | 1 | 31,524,052 | 3,389,683.05 |
| 21 | Egypt | 102,334,404 | 43 | 70 | 1 | 30,802,655 | 7,675,080.30 |
| 22 | Colombia | 50,882,891 | 80 | 75 | 1 | 30,529,735 | 3,816,216.83 |
| 23 | Spain | 46,754,778 | 80 | 80 | 1 | 29,923,058 | 3,506,608.35 |
| 24 | Vietnam | 97,338,579 | 38 | 80 | 1 | 29,590,928 | 7,300,393.43 |
| 25 | DR Congo | 89,561,403 | 46 | 70 | 1 | 28,838,772 | 6,717,105.23 |
| 26 | Thailand | 69,799,978 | 51 | 80 | 1 | 28,478,391 | 5,234,998.35 |
| 27 | South Africa | 59,308,690 | 67 | 70 | 1 | 27,815,775 | 4,448,151.75 |
| 28 | Canada | 37,742,154 | 81 | 80 | 1 | 24,456,916 | 2,830,661.55 |
| 29 | Ukraine | 43,733,762 | 69 | 80 | 1 | 24,141,037 | 3,280,032.15 |
| 30 | Iraq | 40,222,493 | 73 | 80 | 1 | 23,489,935 | 3,016,686.98 |
| 31 | Saudi Arabia | 34,813,871 | 84 | 80 | 1 | 23,394,921 | 2,611,040.33 |
| 32 | Algeria | 43,851,044 | 73 | 70 | 1 | 22,407,883 | 3,288,828.30 |
| 33 | Malaysia | 32,365,999 | 78 | 80 | 1 | 20,196,383 | 2,427,449.93 |
| 34 | Peru | 32,971,854 | 79 | 75 | 1 | 19,535,824 | 2472889.05 |
| 35 | Poland | 37,846,611 | 60 | 80 | 1 | 18,166,373 | 2,838,495.83 |
Data retrieved from https://www.worldometers.info/population/on June 02, 2020.
Hypothetical data.
Figure 4Stability of SARS-CoV-2 on different environmental surfaces. Data sources: Doremalen et al. (2020), Chin et al. (2020).
Figure 5Components and treatment options for biomedical and domestic plastic wastes generated during SARS-CoV-2 pandemic.
Figure 6Supply and demand chain for medical waste during COVID 19 and relevant sectors for plastic waste generation (adapted from PlasticsEurope and Klemes et al., 2020. Brian Love and Julie Rieland, CC BY-ND).
Figure 7Proposed chart showing pathways for inputs of medical wastes (plastics) into freshwater and marine environments.