| Literature DB >> 33614408 |
Nsikak U Benson1, Omowunmi H Fred-Ahmadu1, David E Bassey2, Aderemi A Atayero3.
Abstract
The threat of plastic waste pollution in African countries is increasing exponentially since the World Health Organisation declared the coronavirus infection as a pandemic. Fundamental to this growing threat are multiple factors, including the increased public consumption for single-use plastics, limited or non-existence of adequate plastic waste management infrastructures, and urbanisation. Plastics-based personal protective equipment including millions of surgical masks, medical gowns, face shields, safety glasses, protective aprons, sanitiser containers, plastics shoes, and gloves have been widely used for the reduction of exposure risk to Severe Acute Respiratory Syndrome (SARS) Coronavirus 2 (SARS-CoV-2). This paper estimates and elucidates the growing plethora of plastic wastes in African countries in the context of the current SARS-CoV-2 pandemic. A Fourier transform infrared (FTIR) spectral fingerprint indicates that face masks were characterised by natural and artificial fibres including polyester fibres, polypropylene, natural latex resin. Our estimate suggests that over 12 billion medical and fabric face masks are discarded monthly, giving the likelihood that an equivalent of about 105,000 tonnes of face masks per month could be disposed into the environment by Africans. In general, 15 out of 57 African countries are significant plastic waste contributors with Nigeria (15%), Ethiopia (8.6%), Egypt (7.6%), DR Congo (6.7%), Tanzania (4.5%), and South Africa (4.4%) topping the list. Therefore, this expert insight is an attempt to draw the attention of governments, healthcare agencies, and the public to the potential risks of SARS-CoV-2-generated plastics (COVID plastic wastes), and the environmental impacts that could exacerbate the existing plastic pollution epidemic after the COVID-19 pandemic.Entities:
Keywords: COVID plastic wastes; SARS-CoV-2; SDG 11; SDG 14; SDG 3; plastic pollution; single-used plastics
Year: 2021 PMID: 33614408 PMCID: PMC7881289 DOI: 10.1016/j.jece.2021.105222
Source DB: PubMed Journal: J Environ Chem Eng ISSN: 2213-2929
Fig. 1Coronavirus-19 generated PPEs and single-use plastics littered or inappropriately discarded along Atlantic Ocean coast and dumpsites in Nigeria (Photo credits: Nsikak Benson).
Fig. 2Representative spectra and absorption bands for surgical-grade (SG), homemade (HM) and Filtering facepiece 2 (FFP2) face masks polymers: polyester fibres (PE), natural latex resin (NL), and polypropylene (PP).
Estimated face masks disposal and plastic waste generation by African countries.
| Algeria | 43,854,590 | 73 | 15,941 | 952 | 3497 | 70 | 1 | 22,409,695 | 190,482 | 3289,094 |
| Angola | 32,863,687 | 67 | 346 | 19 | 219 | 70 | 1 | 15,413,069 | 131,011 | 2464,777 |
| Benin | 12,123,248 | 48 | 1199 | 21 | 845 | 70 | 1 | 4073,411 | 34,624 | 909,244 |
| Botswana | 2351,786 | 73 | 277 | 1 | 247 | 70 | 1 | 1201,763 | 10,215 | 176,384 |
| Burkina Faso | 20,902,979 | 31 | 987 | 53 | 80 | 70 | 1 | 4535,946 | 38,556 | 1567,723 |
| Burundi | 11,890,146 | 14 | 191 | 1 | 72 | 70 | 1 | 1165,234 | 9904 | 891,761 |
| Cabo Verde | 556,036 | 68 | 1421 | 16 | 751 | 70 | 1 | 264,673 | 2250 | 41,703 |
| Cameroon | 26,546,427 | 56 | 12,592 | 313 | 2179 | 70 | 1 | 10,406,199 | 88,453 | 1990,982 |
| Central African Rep. | 4830,173 | 43 | 3969 | 48 | 3007 | 70 | 1 | 1453,882 | 12,358 | 362,263 |
| Chad | 16,425,296 | 23 | 871 | 74 | 10 | 70 | 1 | 2644,473 | 22,478 | 1231,897 |
| Comoros | 869,652 | 29 | 309 | 7 | 61 | 70 | 1 | 176,539 | 1501 | 65,224 |
| Congo | 5518,223 | 70 | 1557 | 44 | 1012 | 70 | 1 | 2703,929 | 22,983 | 413,867 |
| Côte d′Ivoire | 26,378,877 | 51 | 10,462 | 72 | 5583 | 70 | 1 | 9417,259 | 80,047 | 1978,416 |
| Djibouti | 988,091 | 79 | 4736 | 55 | 101 | 70 | 1 | 546,414 | 4645 | 74,107 |
| DR Congo | 89,555,575 | 46 | 7379 | 182 | 4236 | 70 | 1 | 28,836,895 | 245,114 | 6716,668 |
| Egypt | 102,342,235 | 43 | 74,035 | 3280 | 50,652 | 70 | 1 | 30,805,013 | 261,843 | 7675,668 |
| Equatorial Guinea | 1402,824 | 73 | 3071 | 51 | 2178 | 70 | 1 | 716,843 | 6093 | 105,212 |
| Eritrea | 3546,748 | 63 | 215 | – | 159 | 70 | 1 | 1564,116 | 13,295 | 266,006 |
| Eswatini | 1160,266 | 30 | 988 | 13 | 428 | 70 | 1 | 243,656 | 2071 | 87020 |
| Ethiopia | 114,966,205 | 21 | 5846 | 103 | 3313 | 70 | 1 | 16,900,032 | 143,650 | 8622,465 |
| Gabon | 2225,815 | 87 | 5620 | 44 | 3021 | 70 | 1 | 1355,521 | 11,522 | 166,936 |
| Gambia | 2416,608 | 59 | 57 | 2 | 28 | 70 | 1 | 998,059 | 8484 | 181,246 |
| Ghana | 31,074,883 | 57 | 20,085 | 122 | 5093 | 70 | 1 | 12,398,878 | 105,390 | 2330,616 |
| Guinea | 13,132,670 | 39 | 5570 | 34 | 1040 | 70 | 1 | 3585,219 | 30,474 | 984,950 |
| Guinea-Bissau | 1968,072 | 45 | 1765 | 25 | 1064 | 70 | 1 | 619,943 | 5270 | 147,605 |
| Kenya | 53,774,120 | 28 | 7886 | 160 | 5439 | 70 | 1 | 10,539,728 | 89,588 | 4033,059 |
| Lesotho | 2142,413 | 31 | 79 | – | 68 | 70 | 1 | 464,904 | 3952 | 160,681 |
| Liberia | 5057,871 | 53 | 869 | 37 | 463 | 70 | 1 | 1876,470 | 15,950 | 379,340 |
| Libya | 6871,927 | 78 | 989 | 27 | 704 | 70 | 1 | 3752,072 | 31,893 | 515,395 |
| Madagascar | 27,691,313 | 39 | 2941 | 32 | 1801 | 70 | 1 | 7559,728 | 64,258 | 2076,848 |
| Malawi | 19,130,121 | 18 | 1613 | 17 | 1279 | 70 | 1 | 2410,395 | 20,488 | 1434,759 |
| Mali | 20,250,095 | 44 | 2303 | 118 | 669 | 70 | 1 | 6237,029 | 53,015 | 1518,757 |
| Mauritania | 4649,671 | 57 | 4827 | 129 | 2893 | 70 | 1 | 1855,219 | 15,769 | 348,725 |
| Mauritius | 1271,795 | 41 | 341 | 10 | 1 | 70 | 1 | 365,005 | 3103 | 95,385 |
| Mayotte | 272,823 | 46 | 2661 | 35 | 251 | 70 | 1 | 87,849 | 747 | 20,462 |
| Morocco | 36,913,924 | 64 | 14,215 | 235 | 4255 | 70 | 1 | 16,537,438 | 140,568 | 2768,544 |
| Mozambique | 31,254,703 | 38 | 987 | 8 | 723 | 70 | 1 | 8313,751 | 70,667 | 2344,103 |
| Namibia | 2541,110 | 55 | 412 | – | 387 | 70 | 1 | 978,327 | 8316 | 190,583 |
| Niger | 24,201,945 | 17 | 1088 | 68 | 55 | 70 | 1 | 2880,031 | 24,480 | 1815,146 |
| Nigeria | 206,144,243 | 52 | 28,167 | 634 | 16,071 | 70 | 1 | 75,036,504 | 637,810 | 15,460,818 |
| Réunion | 895,376 | 100 | 536 | 2 | 62 | 70 | 1 | 626,763 | 5327 | 67,153 |
| Rwanda | 12,952,510 | 18 | 1092 | 3 | 566 | 70 | 1 | 1632,016 | 13,872 | 971,438 |
| Sao Tome & Principe | 219,176 | 74 | 719 | 13 | 439 | 70 | 1 | 113,533 | 965 | 16,438 |
| Senegal | 16,743,956 | 49 | 7400 | 133 | 2397 | 70 | 1 | 5743,177 | 48,817 | 1255,797 |
| Seychelles | 98,353 | 56 | 81 | – | 70 | 70 | 1 | 38,554 | 328 | 7376 |
| Sierra Leone | 7977,515 | 43 | 1533 | 62 | 420 | 70 | 1 | 2401,232 | 20,410 | 598,314 |
| Somalia | 15,892,879 | 47 | 2961 | 92 | 1896 | 70 | 1 | 5228,757 | 44,444 | 1191,966 |
| South Africa | 59,314,150 | 67 | 187,977 | 3026 | 93,724 | 70 | 1 | 27,818,336 | 236,456 | 4448,561 |
| South Sudan | 11,194,743 | 25 | 2021 | 38 | 1650 | 70 | 1 | 1959,080 | 16,652 | 839,606 |
| Sudan | 43,850,981 | 35 | 9767 | 608 | 4486 | 70 | 1 | 10,743,490 | 91,320 | 3288,824 |
| Tanzania | 59,732,362 | 37 | 509 | 21 | 305 | 70 | 1 | 15,470,682 | 131,501 | 4479,927 |
| Togo | 8279,041 | 43 | 676 | 15 | 229 | 70 | 1 | 2491,991 | 21,182 | 620,928 |
| Tunisia | 11,819,657 | 70 | 1186 | 50 | 90 | 70 | 1 | 5791,632 | 49,229 | 886,474 |
| Uganda | 45,736,977 | 26 | 939 | – | 48 | 70 | 1 | 8324,130 | 70,755 | 3430,273 |
| Western Sahara | 597,354 | 87 | 10 | 1 | 1 | 70 | 1 | 363,789 | 3092 | 44,802 |
| Zambia | 18,383,527 | 45 | 1632 | 30 | 254 | 70 | 1 | 5790,811 | 49,222 | 1378,765 |
| Zimbabwe | 14,864,287 | 38 | 698 | 8 | 509 | 70 | 1 | 3953,900 | 33,608 | 1114,822 |
Data retrieved from https://www.worldometers.info/population/ on July 05, 2020.
Hypothetical data.
Fig. 3Projected share of face masks generated daily per country Map created with mapchart.net©.
Fig. 4Major contributors of plastic waste that is inadequately managed in 2020 Map created with mapchart.net©.
Fig. 5Continental percent share of plastic waste generation per country measured in metric tonnes per year.
Fig. 6Total confirmed COVID-19 cases per million people in African countries.
Fig. 7Epidemiological data on the stability of COVID-19 on contaminated surfaces.