Predicting medical waste generation and associated factors using machine learning in the Kingdom of Bahrain.

Effective planning and managing medical waste necessitate a crucial focus on both the public and private healthcare sectors. This study uses machine learning techniques to estimate medical waste generation and identify associated factors in a representative private and a governmental hospital in Bahrain. Monthly data spanning from 2018 to 2022 for the private hospital and from 2019 to February 2023 for the governmental hospital was utilized. The ensemble voting regressor was determined as the best model for both datasets. The model of the governmental hospital is robust and successful in explaining 90.4% of the total variance.Similarly, for the private hospital, the model variables are able to explain 91.7% of the total variance. For the governmental hospital, the significant features in predicting medical waste generation were found to be the number of inpatients, population, surgeries, and outpatients, in descending order of importance. In the case of the private hospital, the order of feature importance was the number of inpatients, deliveries, personal income, surgeries, and outpatients. These findings provide insights into the factors influencing medical waste generation in the studied hospitals and highlight the effectiveness of the ensemble voting regressor model in predicting medical waste quantities.

Estimation of COVID-19 generated medical waste in the Kingdom of Bahrain.

Coronavirus disease 2019 (COVID-19) is not only a great matter of concern from a medical and health perspective, but it is a serious threat to the environment in terms of waste generated during the prevention and cure of COVID-19. The world has so far compromised more than 3 million human lives, and millions are being infected. Environmental threat is most serious because it can cause secondary complications. As per our knowledge, the amount of waste generated during the pandemic and its estimated quantity has not been assessed, thereby keeping the scientific community, Government authorities and public ignorant of its adverse effects. In this context, we have evaluated the waste generated by the Kingdom of Bahrain, estimated to be 35.480 kg/day (face masks), 1894 kg/day (PPEs) by the selected health facilities, 16,633.505 kg (vaccination-related) and 53,551.240 kg (related to tests conducted so far) in the Kingdom of Bahrain.