ABSTRACT
Introduction: The extent of burnout among clinical and non-clinical academics during the COVID-19 pandemic is not well gauged and necessitates further attention. This study was designed to determine the prevalence of burnout among academics in the International Islamic University Malaysia (IIUM), Kuantan campus, and the associated sociodemographic and occupational-related factors. Methods: We conducted a cross-sectional study between March and May 2021 using questionnaires adapted from Copenhagen Burnout Inventory and General Stressor Questionnaire at the IIUM, Kuantan campus. Results: 57 clinical and 93 non-clinical academics responded to the survey. The prevalence of significant burnout was 49%. Compared to non-clinical academics, clinical academics had a significantly higher proportion of burnout with a p-value of <0.001, particularly in work-related, student-related, and superior-related burnout domains, with a p-value of 0.004, <0.001, and 0.006, respectively. Factors significantly associated with burnout among our cohort were clinical work, chronic illness, and gender, each with an odds ratio of 2.72 (95% CI = 1.01,7.34), 2.81 (95% CI = 1.14, 6.92), and 4.86 (95% CI = 2.15, 10.9). Conclusion: Burnout was highly prevalent among academics in the IIUM Kuantan campus, particularly among clinical academics during the COVID-19 pandemic and the implementation of remote teaching and learning policy. © 2022 UPM Press. All rights reserved.
ABSTRACT
This research presents a study on the existence of chaotic behaviour in COVID-19 time series data using the Largest Lyapunov Exponent (LLE) and forecasts the outcome of the new daily cases of infected people until 2023 by chaos indicators tools, Logistic Map. The study also chooses another mathematical model, Linear Regression, to verify the accuracy of the Logistic Map by comparing both methods. The comparison between these methods is analyzed by using Mean Square Error (MSE). The data was collected from the end of January until early December 2020 involving Malaysia, China, Singapore, the USA and Italy. The result shows the countries tested have the existence of chaotic behaviour. Meanwhile, forecasting depicts some countries whose cases are declining and some are increasing. © 2022 Author(s).
ABSTRACT
The coronavirus disease 2019 (COVID-19) pandemic is still ongoing, and respirology associations globally are updating and releasing guidelines to provide appropriate care for health care workers and patients. The virus can become airborne if aerosol-generating procedures (AGPs) are performed. Interventional pulmonology procedures were performed on 63 patients within the period of March-May 2020. During this pandemic, personnel involved per procedure is limited, personal protective equipment level 3 is utilized in AGPs, and level 2 personal protective equipment is used in non-AGPs. The majority of patients were male (54%) and were aged 30-49 years (35%). Bronchoscopy was the most frequent procedure performed (62%). The most common pulmonary conditions in these patients were pneumonia, pleural effusion, and lung mass/consolidation (all 24%). There were seven (11%) patients diagnosed as having probable COVID-19. Interventional pulmonology procedures can still be performed in the era of COVID-19 pandemic.
ABSTRACT
Multiphase flow meters (MPFM) have been known save costs for new installations, are compact and as effective as a test separator. Field "F" is a green field with 2 wells and has been producing since 2018 from the same reservoir. The test facilities consist of an MPFM, and F flows to a hub called Field "G". Towards Q2 of 2019, there was a significant increase in production rates from both wells without any changes to surface choke size and without enhancement jobs performed. Added to that, reservoir pressure showed steady depletion. Daily production allocation for F showed lower than usual reconciliation factor when combined with G hub production. This suboptimal allocation raised doubts about the MPFM well test readings which launched a full investigation into the accuracy of the meter. From the offshore remote monitoring system, the first suspect was the increased inlet pressure causing parameters to be out of the MPFM operating envelope range. However, after further checking, there were other pressing issues such as faulty transmitter, and low range sensors. As these issues were being dealt with amidst the COVID-19 pandemic, the process to fix the meter was longer than usual. Rectification involved troubleshooting the MPFM post performing Multi Rate Tests, back allocation check to hub production and PROSPER/GAP model matching to check on the credibility of the well tests. These efforts were made due to budget cuts, as there was no advantage to bring onboard an entire well test package (separator) to test the F wells. Post several rectifications, the liquid, gas and oil rates were within 10% difference from allocation meter back allocation and PROSPER model calculation. Reconciliation factor for field G has also increased to normal range of 0.92 to 0.95. However, the rectification also showed a significant drop in metered rates, proving that the MPFM was indeed generating incorrect well tests since Q2 2019. The drop was higher than 30% in gross production rates which lead to a better understanding of the reservoir, and corrections to be made to dynamic models for any future development projects. This hence proves that even with the similar reservoir properties in both wells, the MPFM well tests still require vigorous checking and should not be treated in the same way as a test separator. This paper will describe the efforts by surface and subsurface faculties to ensure the quality of well tests from the MPFM. For future projects considering the MPFM installation, best to frequently quality check the MPFM well test figures with a test separator. However, if that option is not feasible, the efforts in this paper can act as a guide for the field. © 2021, Society of Petroleum Engineers.