Though Municipal Solid Waste (MSW) is a worldwide problem, the collected wastes are dumped in open
dumping at landfilling sites while the uncollected wastes remain strewn on the roadside, many-a-time clogging
drainage. Such unsafe and inadequate management of MSW causes spread of bacteria, viruses, particulate matter,
dioxins and other harmful pollutants in the surroundings and atmosphere. Hence, due to the repeated exposure of
population to these pollutants can lead to serious health problems such as Diarrhea/Dysentery, Acute Respiratory
Infection (ARI), and Asthma/Chronic Respiratory Diseases (CRD). Therefore, two-phase study included secondary
data on diseases caused due to environmental pollution and primary data on MSW and lack of MSW management
from 127 households in urban Patna, India. The random sampling method was used for collection of primary
survey data, conducted during 2015–16 in selected areas of Patna. Logistic regression model odds ratios and
their 95% confidence intervals were used to show the strength of the associations among segregation of wastes
at source, segregation behavior, collection bins in the area, distance of collection bins from a residential area,
and transportation of MSW. The ROC is a statistical technique to validate the logistic regression method that
predicts the occurrence of an event through the comparison of probability picture of an event occurrence observed
by probability and the predicted probability of the same event. The area under the ROC curve is up to 0.889
extent, which reveals that the ‘segregation of waste at source’ has a very strong scope to accomplish sustainable
recycling at urban Patna in order to manage waste with the overall accuracy of 92.126%, which proves a better
fi t logistic regression model. Hence, this paper concludes that ‘segregation of waste at source’ helps to attain
sustainable recycling which would be the most viable approach to manage MSW in Patna and would eventually
reduce environmental pollutants for the public health safety.
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