ABSTRACT
The COVID-19 pandemic is not over yet. The Coronavirus Disease 19 Pandemic due to the SARS-CoV-2 virus is spreading very quickly in almost every country in the world because of its human-to-human nature. The first COVID-19 case in Indonesia was detected in Depok, West Java, on March 2, 2020. To deal with this, the government must decide on an efficient policy by observing the atmosphere and situation in each region. In this research, we aim to determine the risk status of COVID-19 transmission in the East Java region using Tsukamoto Fuzzy Inference System. The data used are 38 district data groups consisting of four variables. The input variables are COVID-19 positive cases, suspect cases, and probable cases. The output variable is the risk status of COVID-19 transmission data. The results of this study, the Fuzzy Inference System Tsukamoto method, can be used to determine the risk status of COVID-19 transmission in all areas in East Java with an accuracy value of 95.51%. We implement the model of this research in Banten. The results of model calculations in Banten Province show that the model can be used to determine the zone status of each region in Banten with an accuracy rate above 97%. Therefore, the parameter values for each input and output variable in this study can be used in decision-making in areas that have the same zoning policy. © 2022 IEEE.
ABSTRACT
The new epidemic of coronavirus disease-19 outbreak has caused rapid morbidity and mortality rates worldwide, and health parameters have been proposed to influence disease progression. Among these parameters are index of body mass (BMI) and D vitamin. 86 patients with same number of control were studied(case-control) to find the relationship between the BMI, vitamin D and risk of COVID-19. Vitamin D (25-hydroxyvitamin D) serum level was estimated by ELISA. Results revealed that the age mean value was elevated significantly in cases compared to normal persons, and 50% of patients were 50 years of age or older. patients BMI were higher significantly in comparison with controls, and most of patients were overweight/obese (76.7%). The Vitamin D level decreased in patients significantly compared to control, and most of patients were severely-deficient (75.6%). Logistic-regression-analysis depicted a high risk of COVID-19 in obese cases (OR= 26.39;95% interval of confidence [CI]: 7.02-99.24;p < 0.001), and in patients with severe deficient in vitamin D (OR = 13.34;95% CI: 6.32-28.19;< 0.001). Moreover, overweight/obese patients severely deficient in vitamin D were at high risk of developing COVID-19 infection (OR = 230.55;95% CI: 43.98-1208.67;p < 0.001). Curve analysis of ROC(Receiver-operating-characteristic) showed that BMI and vitamin D occupied under curve significant area (0.770 and 0.864, respectively). In conclusions, the study indicated that individuals who were overweight/obese and severely deficient in vitamin D were more susceptible to develop COVID-19. © 2022 American Institute of Physics Inc.. All rights reserved.
ABSTRACT
Coronavirus (COVID-19) pandemic has a massive impact on economic growth and the stock market. Due to COVID-19's high transmission rate, a movement control order (MCO) was enforced by the Malaysian government in four stages. Consequently, this situation has affected the stability and the relationship of stocks listed on Bursa Malaysia. Thus, this study is motivated to investigate and visualize a correlation of securities listed on FTSE Bursa Malaysia KLCI by employing a network analysis approach. The limitation of correlation analysis is that it only provides the strength and direction of the association, which is not visually shown in the graph. As a result, the network analysis technique is used to highlight the correlations between the stocks. The input of the network is based on the rate of return of each stock. The data is divided into two parts. The first duration is the period before implementation of MCO which is from 17th December 2020 to 17th March 2020. The second duration is during four stages of MCO which cover from 18th March 2020 to 3rd May 2020. There are changes in the interconnection between stocks in which seventeen stocks increased in the correlation measure during MCO. The importance of stocks is determined by applying centrality measures to disclose a topological structure of a network. This study finds that the stock with the highest connectivity based on the degree centrality before the MCO was unable to maintain the status as the central hub during the MCO. The results can assist the market participant to strategize the asset allocation to obtain well diversified portfolio. selection.
ABSTRACT
Quarantine place perimeter breach COVID-19 patients that required to do self-isolate and self-quarantine from public is usually occur when the patient is not following the SOP and regulations drawn by government. This will lead to possibly spread of the COVID-19 virus into the community. These persons need to be closely monitored their movement or location online in order to prevent further spread of COVID-19 to public within their surrounding area. In view of this situation, the research project proposed to develop Quarantine Perimeter Breach Monitoring System (QPBMS) that can detect and alert the authority when the COVID-19 patient commit the offence of perimeter breach from their isolation place. A smartphone GPS and HERE Tracker apps are used in the system for the detection and notification alert. The impact of this monitoring system will enable authority or health official to locate and closely monitored the COVID-19 adhered to their self-isolation period. With the accurate and stable tracing of the HERE tracker, the health officer law enforcer can be notified with a precise info about any quarantine period violation. © 2022 IEEE.
ABSTRACT
Universiti Teknologi MARA (UiTM) has taken an approach of Open and Distance Learning (ODL) system as a way to ensure the continuity of its education during the COVID-19 pandemic. This transformation leads to various challenges in teaching and learning. Hence, this study aimed to describe the ODL in terms of university students' learning experiences and their academic achievements during the COVID-19 pandemic. This study involved a total of 3283 students during March-August 2020 semester in UiTM Negeri Sembilan. Data were collected via online surveys and were descriptively and statistically analysed using Statistical Package for the Social Sciences (SPSS). Findings showed that students were given sufficient information regarding the assessments of the course (mean=3.64) and the delivery of the course content (mean=3.65). The success factors on the students' academic achievements were due to the support from lecturers (mean=2.78), peers (mean=2.79) and family (mean=2.55). Thus, it can be concluded that the majority of the students are satisfied with their ODL learning experiences and academic achievements. This study suggests that academic management should continue to provide effective support in the form of resources and services to increase performances by their students. © 2022. All Rights Reserved.
ABSTRACT
In March 2020, the government had announced for the Movement Control Order due to the outbreak of Covid-19 in Malaysia. COVID-19 is an infectious disease caused by a newly discovered coronavirus. People that infected with COVID-19 will experience mild to moderate respiratory illness and recover without requiring special treatment. As the covid-19 had affected over millions of people across the world, the media have been working overtime in make sure the communities are updated with the news regarding Movement Control Order information to the public. The study aims to identify the effectiveness of media in creating awareness towards the understanding of Movement Control Order (MCO) during Covid-19. The study involves 440 respondents from different backgrounds across Malaysia. The data are collected through Statistical Package of Social Science (SPSS) Version 23. Findings from the SPSS indicated that television has significantly impact on promoting Movement Control Order awareness. © 2021 Author(s).
ABSTRACT
Background: A case-control study was performed to examine age, gender, and ABO blood groups in 1014 Iraqi hospitalized cases with Coronavirus disease 2019 (COVID-19) and 901 blood donors (control group). The infection was molecularly diagnosed by detecting coronavirus RNA in nasal swabs of patients. Results: Mean age was significantly elevated in cases compared to controls (48.2 ± 13.8 vs. 29.9 ± 9.0 year;probability [p] < 0.001). Receiver operating characteristic analysis demonstrated the predictive significance of age in COVID-19 evolution (Area under curve = 0.858;95% CI: 0.841 – 0.875;p < 0.001). Males outnumbered females in cases (60.4 vs. 39.6%) and controls (56 vs. 44%). Stratification by age group (< 30, 30 – 39, 40 – 49 and ≥ 50 years) revealed that 48.3% of cases clustered in the age group ≥ 50 years. ABO blood group analysis showed that group A was the most common among cases, while group O was the most common among controls (35.5 and 36.7%, respectively). Blood groups A (35.5 vs. 32.7;corrected p [pc] = 0.021), A+AB (46.3 vs. 41.7%;pc = 0.021) and A+B+AB (68.0 vs. 63.3%;pc = 0.007) showed significantly elevated frequencies in cases compared to controls. Logistic regression analysis estimated odds ratios (ORs) of 1.53 (95% confidence interval [CI]: 1.16 - 2.02), 1.48 (95% CI: 1.14 - 1.93) and 1.50 (95% CI: 1.17 - 1.82) for blood groups A, A+AB and A+B+AB, respectively. Blood group frequencies showed no significant differences between age groups of cases or controls. Regarding gender, male cases were marked with increased frequency of group A (39.9 vs. 28.9%) and decreased frequency of group O (25.9 vs. 41.0%) compared to female cases. Independent re-analysis of ABO blood groups in male and female cases demonstrated that group A was increased in male cases compared to male controls (39.9 vs. 33.1%;OR = 1.65;95% CI: 1.24 - 2.21;pc = 0.006). On the contrary, no significant differences were found between females of cases and controls. Conclusions: The study results indicated that blood group A may be associated with an increased risk of developing COVID-19, particularly in males.