ABSTRACT
Background: coronaviral pandemic (COVID-19) induced by severe acute coronaviral syndrome 2 has imminent consequences for COVID-19 patients. To determine the effect of this pandemic on oncological treatment, Netherlands cancer patients performed a national study . Method(s): From 11 April 2020 to 11 Jan 2021, the oncological care perspective was discussed by an online study. The survey included 20 questions on four topics: patient characteristics, hospital engagement, COVID-19 and COVID-19 problems. Result(s): A total of 2418 (64.53%) patients were female and the remainder (57.5%) were <50 years of age. The most prevalent cancer diagnosis were haematological malignancies (26.1%), breast cancer (22.8%) and other cancers (19.2%). Depending on their illness environment, 34.7% of patients had incurable conditions while 21.6% and 31.8% had curable or healed diseases. The (expected) result of their illness was 'unknown' for 11.9% of patients. According to outpatient environment, 1691 (45.1%) patients have been oncologically examined and have taken follow-up, contrasted with 529 (14.1%) and 1527 (40.8%) patients presently or pending for therapy. Conclusion(s): This is the first research exploring cancer patients' experiences after the COVID-19 pandemic in Iraq. The research indicates the major effect of COVID-19 on oncological treatment, showing the need for psycho-oncological assistance during this pandemic.Copyright © 2020 Ubiquity Press. All rights reserved.
ABSTRACT
Accurate prediction of domestic waste generation is a challenging task for municipalities to implement sustainable waste management strategies. In the present study, domestic waste generation in the Kingdom of Bahrain, representing a Small Island Developing State (SIDS) case study, has been investigated during successive COVID-19 lockdowns due to the pandemic in 2020. Temporal trends of daily domestic waste generation between 2019 and 2020 and their statistical analyses exhibited remarkable variations highlighting the impact of consecutive COVID-19 lockdowns on domestic waste generation. Machine learning has great potential for predicting solid waste generation rates, but only a few studies utilized deep learning approaches. The state-of-the-art Bidirectional Long Short-Term Memory (BiLSTM) network model as a deep learning method is applied to forecast daily domestic waste data in 2020. Bayesian optimization algorithm (BOA) was hybridized with BiLSTM to generate a super learner approach. The performance of the BOA-BiLSTM super learner model was further compared with the statistical ARIMA model. Performance indicators of the developed models using ARIMA and BiLSTM showed that the latter yielded superior performance for short-term forecasts of domestic waste generation. The MAE, RMSE, MAPE, and R2 were 47.38, 60.73, 256.43, and 0.46, respectively, for the ARIMA model, compared to 3.67, 12.57, 0.24, and 0.96, respectively, for the BiLSTM model. Additionally, the relative errors for the BiLSTM model were lower than those of the ARIMA model. This study highlights that the BiLSTM can be a reliable forecasting tool for solid waste management policymakers during public health emergencies. © 2022 Elsevier B.V.
ABSTRACT
Background: coronaviral pandemic (COVID-19) induced by severe acute coronaviral syndrome 2 has imminent consequences for COVID-19 patients. To determine the effect of this pandemic on oncological treatment, Netherlands cancer patients performed a national study . Methods: From 11 April 2020 to 11 Jan 2021, the oncological care perspective was discussed by an online study. The survey included 20 questions on four topics: patient characteristics, hospital engagement, COVID-19 and COVID-19 problems. Results: A total of 2418 (64.53%) patients were female and the remainder (57.5%) were <50 years of age. The most prevalent cancer diagnosis were haematological malignancies (26.1%), breast cancer (22.8%) and other cancers (19.2%). Depending on their illness environment, 34.7% of patients had incurable conditions while 21.6% and 31.8% had curable or healed diseases. The (expected) result of their illness was 'unknown' for 11.9% of patients. According to outpatient environment, 1691 (45.1%) patients have been oncologically examined and have taken follow-up, contrasted with 529 (14.1%) and 1527 (40.8%) patients presently or pending for therapy. Conclusion: This is the first research exploring cancer patients' experiences after the COVID-19 pandemic in Iraq. The research indicates the major effect of COVID-19 on oncological treatment, showing the need for psycho-oncological assistance during this pandemic.