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Hospital waste generation during the first wave of COVID-19 pandemic: a case study in Delhi

Environmental Science and Pollution Research 2022 25 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 40 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Mayank Singh, Nima Karimi, Kelvin Tsun Wai Ng, Derek Mensah, Derek Mensah, Denise Stilling, Denise Stilling, Kelvin Tsun Wai Ng, Kelvin Tsun Wai Ng, Kenneth K. Adusei

Summary

Researchers tracked hospital waste generation across 11 Delhi hospitals during the first COVID-19 wave, finding that a one-month lockdown reduced overall waste volumes while bio-contaminated and disposable medical product waste consistently comprised 70–80% of total hospital waste by weight.

In this study, the hospital waste generation rates and compositions in Delhi were examined temporally and spatially during the first COVID-19 wave of April 2020. A total of 11 representative hospitals located in five districts were considered. The pre-COVID hospital waste generation rates were relatively consistent among the districts, ranging from 15 to 23 tonne/month. It is found that the number of hospital beds per capita may not be a significant factor in the hospital waste quantity. Strong seasonal variations were not observed. All districts experienced a drastic decrease in generation rates during the 1-month lockdown. The average rates during the COVID period ranged from 12 to 24 tonne/month. Bio-contaminated and disposable medical product wastes were the most common waste in Delhi's hospitals, representing 70-80% by weight. The changes in waste composition were however not spatially consistent. The lockdown appeared to have had a higher impact on hospital waste generation rate than on waste composition. The findings are important as the design and operation of a waste management system are sensitive to both waste quantity and quality. Waste records at source helped to minimize waste data uncertainties and allowed a closer examination of generation trends.

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