ABSTRACT
The COVID-19 pandemic highlighted a major flaw in the current medical oxygen supply chain and inventory management system. This shortcoming caused the deaths of several patients which could have been avoided by accurate prediction of the oxygen demand and the distribution of oxygen cylinders. To avoid such calamities in the future, this paper proposes an Internet of Everything (IoE) based solution which forecasts the demand for oxygen with 80-85% accuracy. The predicted variable of expected patients enables the system to calculate the requirement of oxygen up to the next 30 days from the initiation of data collection. The system is scalable and if implemented on a city or district level, will help in the fair distribution of medical oxygen resources and will save human lives during extreme load on the supply chain. © 2023 IEEE.
ABSTRACT
Data visualization is a very important step in data analysis as it provides insight into the data in a more effective manner that is interesting, simple, and understandable to every-one without any language barrier. It can also represent a huge amount of data in a small space very easily. In the previous two years, the whole world has suffered from a very terrifying nightmare known as COVID-19. Known to be starting from the country of China, the pandemic affected not only the health and well-being of mankind, but also had serious impacts on the economies of various countries. Hence, a visualization of the data set of the pandemic might provide beneficial insights for finding a possible solution and can help in overcoming the impacts of the pandemic. Microsoft Power BI is a very famous tool for analyzing data. Power BI provides a different way to visualize the data. This paper has been analyzed the covid-19 data by using Power BI to understand the trends and patterns of the Pandemic. With the help of visualizing the data, it can be represented in stacked column charts, tables, and maps. These three ways are easy and simple to understand the patterns of the pandemic. It also helps to understand how covid impact the world. This research with power BI dashboard by using a dashboard feature that connects different pieces of visual graphs. © 2023 IEEE.
ABSTRACT
Background Coronavirus disease 2019 (COVID-19) presents clinically a variety of pathological and clinical organ dysfunctions, ranging in severity from asymptomatic to fatal. The care and monitoring of COVID-19 patients may benefit from the use of biochemical and hematological markers. Objective To observe the alteration of serum biochemical and hematological parameters in COVID-19 positive patients, attending a Tertiary Care Hospital. Method A descriptive cross-sectional study was conducted on all COVID-19 positive patients attending Nobel Medical College Teaching Hospital, Biratnagar, Nepal from 15th December 2021 to 15th February 2022. The test results of different serum biochemical and hematological parameters done for these patients were recorded in clinical laboratory services and obtained retrospectively for the analysis. The data were entered in MS excel and analyzed by SPSS version 20. Result Out of 1537 COVID-11699 declared positive patients, 712 (46.32%) were male and 825 (53.68%) female. Mean age of COVID positive patients was 40.03±20.08 years. The level of serum SGOT, SGPT, ALP and GGT was significantly elevated in 39.9%, 42.8%, 32.3% and 47.2% of COVID positive patients respectively. Blood Urea, creatinine, uric acid and sugar level were significantly elevated in 63%, 56.1%, 33.1% and 47.6% patients respectively. The serum level of LDH, D-dimer, CRP and procalcitonin (PCT) were significantly increased in 52.1%, 75.9%, 71.6% and 61.2% of patients respectively. The serum value of total cholesterol, triglyceride, HDL and LDL were significantly lowered in 52.2%, 43.8%, 70.1% and 60.3% of patients respectively. RBC concentration and level of hemoglobin was reduced in 56.6% and 53.6% of COVID positive patients respectively whereas total leukocyte count was elevated in 80.7% with increase in neutrophil in 87.9% and decrease in lymphocyte in 79.4%. Conclusion A portion of COVID-19 positive patients showed drastically altered test results for various serum biochemical and hematological markers, although many of them had normal findings.
Subject(s)
COVID-19 , Humans , Male , Female , Young Adult , Adult , Middle Aged , SARS-CoV-2 , Tertiary Care Centers , Retrospective Studies , Cross-Sectional StudiesABSTRACT
During the COVID-19 pandemic, elderly people have been more prone to depression, anxiety and stress. During these trying times, they require more attention and support for their mental health. This cross-sectional study was performed with the duration of 06 months from March 2021 to August 2021 in AIIMS, Bhopal in the state of Madhya Pradesh, in central India. And the participants recruited by systematic random sampling from a population aged more than 60 years, those who were able to read and write Hindi or English and having at least one family member; who reported to AIIMS, Bhopal during the second wave of COVID-19 in India. Those who were confirmed COVID-19 cases and undergoing treatment for the same, with diagnosed mental health disorders and who didn't give consent were excluded. A Google form based online semi-structured questionnaire along with DASS-21 scale was completed by participants. Elderly (>=60 years) will be selected. Of the 690 participants 7.25% reported mild to moderate depression, whereas 0.58 percent had severe or extremely severe depression. Mild to moderate anxiety were found in 9.56% of people, while 2.46% had severe or extremely severe anxiety. Mildly or moderately were stressed 4.78%, while 0.42% was severely or extremely anxious. Alcoholism and depression were found to have a statistically significant relationship (p=0.028). During the COVID-19 pandemic, elderly subjects who napped during the day were substantially less depressed (p=0.033). The older the respondents were, the more nervous they were during the pandemic (p=0.042). There is a link between alcohol consumption and stress (p=0.043) and it was seen that females were more stressed as compared to males (p=0.045). There was a strong correlation between participants' alcohol addiction and depressive symptoms. Psychological therapies for the elderly are thought to be necessary to enhance their psychological resilience and mental health. We need to tackle the stigma related to the COVID-19 and mental health issues.