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.