2022
DOI: 10.1371/journal.pone.0259207
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Assessment of medical waste generation, associated environmental impact, and management issues after the outbreak of COVID-19: A case study of the Hubei Province in China

Abstract: COVID-19 greatly challenges the human health sector, and has resulted in a large amount of medical waste that poses various potential threats to the environment. In this study, we compiled relevant data released by official agencies and the media, and conducted data supplementation based on earlier studies to calculate the net value of medical waste produced in the Hubei Province due to COVID-19 with the help of a neural network model. Next, we reviewed the data related to the environmental impact of medical w… Show more

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Cited by 34 publications
(29 citation statements)
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References 52 publications
(57 reference statements)
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“…Based on the predicted medical waste production in the Province from January to April 2020 (M = 0.5), the medical waste production from January 23 to April 28, 2020 under normal conditions can be calculated (as shown in the Table 1). Based on the actual production value of MW from the pandemic in Hubei Province and the total normal production from Table 1, we can obtain the net production value of new MW (during the pandemic) to be 3366.99 tons, which is 16.04% higher than that under the normal conditions in the same period which was at the rate of 0.4 kg/bed/day or 0.6 kg/bed/day (Ye J, 2022). Table 1.…”
Section: Medical Waste Generation During Covid-19mentioning
confidence: 99%
See 2 more Smart Citations
“…Based on the predicted medical waste production in the Province from January to April 2020 (M = 0.5), the medical waste production from January 23 to April 28, 2020 under normal conditions can be calculated (as shown in the Table 1). Based on the actual production value of MW from the pandemic in Hubei Province and the total normal production from Table 1, we can obtain the net production value of new MW (during the pandemic) to be 3366.99 tons, which is 16.04% higher than that under the normal conditions in the same period which was at the rate of 0.4 kg/bed/day or 0.6 kg/bed/day (Ye J, 2022). Table 1.…”
Section: Medical Waste Generation During Covid-19mentioning
confidence: 99%
“…The estimation of MW generation differs from region to region, however, according to a study conducted in China's Hubei province it alludes that the province generally uses internationally accepted empirical formulas. Where the quantity of medical waste is calculated from the values of the variables of number of visits, bed utilization, and number of beds (Ye J, 2022) (Adu RO, 2020). Therefore, under the empirical estimation method, the study assumed that the daily MW production in Hubei Province is the same in each month under normal conditions as shown in figure 3.…”
Section: Medical Waste Generation During Covid-19mentioning
confidence: 99%
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“…Moreover, waste management for energy production is another alternative tool that can generate value added products by combustion and pyrolysis of healthcare waste [20] . However, subsequent generation of hazardous gases such as CO 2 , carbon monoxide, nitrogen oxides, sulphur oxide, dioxins, and other volatile organic compounds (VOCs) not only pollutes the air, but also enters into water and soil [21] , [22] . Among all other toxic gases, dioxins are more poisonous and reportedly their concentration in flue gases form medical waste incineration is extremely higher than domestic waste combustion [23] .…”
Section: Current Investigation On Coronavirus Vaccine Wastementioning
confidence: 99%
“…Photodegradation due to sunlight, interaction by ocean currents, mobilization of materials due to differences in the waters, effects of salinity, consequences arising from temperature differences, and collisions between materials due to tidal movements in coastal areas are natural processes of the sea that occur continuously [17]. The occurrence of these events in marine ecosystems enriches the production of components with diverse marine biological and non-biological materials [33][34][35][36][37].…”
Section: Introductionmentioning
confidence: 99%