ABSTRACT
Coronavirus Disease-2019 (COVID-19) cases are still increasing, while the epidemiology data is still limited. This study's purpose is to delineate characteristics of 31,407 COVID-19 patients in Central Java. This research involved secondary data acquired from the Health Office of Central Java, which was analysed univariately. The majority of the patients were 19-44-year-old (43.57%), females (50.81%), and private employees (10.53%). The most frequent symptoms were fever (18.85%), cough (18.19%), and shortness of breath (13.71%). Most of the cases were from Semarang City (17.2%), Kudus (6%), Jepara (6%), Demak (5.5%), and Kendal (4.3%), with an Incidence Rate (per 10,000) of 42.79;14.53;14.99;14.90;and 13.84 respectively. Furthermore, most of the patients had no transit history (87.11%), while out of 25 of the foreign transit histories, the United States of America and China contributed 24% and 20%, sequentially. Three-fourths of the domestic transit history was in Central Java, whereas the Special Capital Region of Jakarta, South Sulawesi, and East Java shared 9.79%, 5.99%, and 3.08%. The most common transit history in Central Java was in Semarang City (19.28%) and Kudus (13.91%). In conclusion, the characteristics of COVID-19 cases were varied, and local transmission has occurred, which has spread to 35 cities/districts. © The Authors, published by EDP Sciences.
ABSTRACT
Background: Jogo tonggo is an empowerment effort to increase community participation in preventing the transmission and spread of Covid-19 in Central Java. The study aims to assess the effectiveness of the revitalization of “jogo tonggo” as local wisdom toward increasing community knowledge, attitudes, and behavior toward COVID-19. Methods: This study is true-experimental study involving 352 respondents, which are divided into the experimental group and the control group. The used statistical analyses were paired simple t-test, independent t-test, Mann-Whitney, and Wilcoxon. Results: There was an increase in the mean after intervention between group 1 and group 2 including knowledge of “jogo tonggo” (δ=2.39;p=0.001), knowledge of COVID-19 symptoms and transmission modes (δ=2.87;p=0.001), knowledge of prevention methods of COVID-19 (δ=1.63;p=0.001), attitudes towards “jogo tonggo” (δ=2.00;p=0.004), attitudes towards COVID-19 (δ=1.58;p=0.011), and COVID-19 prevention behavior (δ=6.04;p=0.001). Conclusion: The revitalization of “jogo tonggo” can increase knowledge, attitudes, and behavior toward COVID-19.
ABSTRACT
BACKGROUND The COVID-19 pandemic has caused many medical, ethical, and medicolegal changes, including constant adjustments in service guidelines. Continuing to revise healthcare regulations and guidelines can potentially cause clinical disputes or medical negligence that require ethical and legal solutions. This study aimed to determine the ethical and medicolegal aspects of the potential factors that cause clinical disputes during the pandemic and provide anticipative solutions to national ethicomedicolegal policies. METHODS A systematic literature search in PubMed, ScienceDirect, ClinicalKey, and Google Scholar was performed using keywords "clinical dispute," "ethics," "medicolegal," "ethicolegal," and "COVID-19". The inclusion criteria were articles that contained information on shortage, justice, ethical distribution in intensive care, the possibility of lawsuits and disputes among stakeholders during the pandemic, and stakeholders' roles in managing the pandemic. Key evidence was analyzed and synthesized following national ethicomedicolegal policies. RESULTS We identified 19 articles from the 4 databases. Based on the literature, the main ethicomedicolegal impact of the COVID-19 pandemic appears in 3 aspects: (1) a shortage of fair and ethical intensive care services with fair and ethical distribution efforts, (2) legal protection for medical personnel from legal charges while providing health services during the pandemic, and (3) the government's role in managing the pandemic together with the stakeholders involved. CONCLUSIONS Ethicomedicolegal clinical dispute management and its norms require an update, especially when deciding the complexity of COVID-19 service standards. Ethicomedicolegal professionals are needed as intermediaries to manage cases of clinical disputes and to implement fair malpractice criteria in Indonesia.
ABSTRACT
COVID-19 pandemic has brought changes to the world with various challenges that were never imagined before. High infectiousness and no cure has been found, causing university in most parts of the world to implement lockdowns and implement online distance learning. Some students have difficulty in online practical learning and do not have sufficient materials, such as in computer networking courses. Computer network hardware are not cheap and not all students have it. On the other hand, almost every student has a computer at home. This allows virtualization technology to be carried out at home. This study aims to utilize virtualization technology by using student computers in their respective homes study computer networking courses without having to visit a computer lab during the pandemic. To determine the best virtualization technology, we tested the capabilities of VMWare and Virtual Box in managing and computing guest operating systems. Testing with the same hardware on the host, VMWare performs better in terms of virtualization, both in terms of computing and data transfer through virtual computer networks. Virtual Box's failure to pass the 2D Graphic Mark test demonstrates that it has a limited ability to calculate or render 2D graphics. This will manifest itself later in the slowness with typical Windows actions such as drag & drop and scrolling. Furthermore, computer network programs that rely significantly on 2D capabilities, such as Cisco Packet Tracers and GNS3, would be affected. These findings also become the foundation for the development of further research on the VMM capabilities in managing and running virtual machines.
ABSTRACT
Stress is an emotional feeling that arises in a person in response to unpleasant external pressures or demands. Stress can be obtained from environmental, work, academic, economic, and other problems. The COVID-19 pandemic, which is changing people's lifestyles, has a major impact on people's mental health. The experiments used 1522 respondents that related to stress problems due to the COVID-19 pandemic from the Indonesian Association of Mental Medicine Specialists (PSDKJI), the prevalence reached 64.3%. There are many different ways to detect stress, but most of them require special tools to identify it. This paper presents a prediction based on machine learning for identifying the stress levels by typing behavior data on a smartphone keyboard. This study uses tree-based ensemble learning to make predictions. Based on the experimental results, the Random Forest model produces the best accuracy with a value of 94.77%. The most influential feature of the model is the standard deviation feature of the gravity sensor on the Z-axis. © 2021 IEEE.
ABSTRACT
Introduction: Deaths due to the novel coronavirus (COVID-19) infection in Indonesia continue to increase each day. Limiting patient contact with family and health workers directly in the inpatient room can raise suspicion and complaints from the patient’s family being treated. The risk of medical disputes can also arise due to the limited fulfillment of obtaining information from the patient or family. This study aims to highlight the role of hospital-assisted Tele-education in conveying information to family members regarding the death of their loved ones. Methods: This study is a descriptive quantitative study by taking secondary data from medical records and quality committee data in hospitals to compare patient complaints that arise before and after hospital tele-education policy in COVID-19 cases at Prof.dr.R.D Kandou hospital. Results: Tele-education implementation appears to increase. From 14.43% in the first month of implementation to 80.46%, after the policy was set at the end of the 6th month. The number of complaints related to patients hospitalized due to COVID-19 before the use of virtual education in the patient’s family was 18.26%, and in cases where patients died, family complaints before the use of virtual education had a mean of 39.1%. After implementing the policy, the complaint rate for patients being treated fell to an average of 5.06%, and in deceased cases, the complaint rate decreased to an average of 8.95%. Conclusion: The number of cases that using virtual education increased each month, and the peak was in December 2020;meanwhile the lowest percentage was in July 2020. The use of virtual media in delivering family information and education reduces the barriers that are formed due to hospitalization in isolation rooms. © 2021, Sanglah General Hospital. All rights reserved.
ABSTRACT
Central Java reported 1,541 cases of Patients Under Surveillance until April 14th, 2020. It is expected to increase everyday. However, reports about the epidemiological characteristics of Patients Under Surveillance cases are still limited. This study aims to describe Patients Under Surveillance case of COVID-19. The study used quantitative descriptive design, whereas many as 1,541 cases were described based on the characteristics, contact history, history of transit, and the symptoms. The data are obtained from the Department of Health, Central Java and processed with descriptive statistical data analysis. Results showed from 1,541 cases as much as 59.9% were male and 43% aged 19-44 years. As many as 154 death cases were dominated by men (61.6%) and elderly 60 years (38.3%). The highest IR was Semarang (16.85/100,000 population). Symptoms that often found were cough, fever, dyspnea (8.3%), and 3.96% asymptomatic. The history of contact with the traveling person (4.7%). The most visited city was Jakarta (7.5%). It is concluded that cases in Central Java spread across 35 cities with a high number of cases and mortality. It is necessary to conduct a detailed Patients Under Surveillance case reports to monitor the spread of the virus that can be prevented in advance. © The Authors, published by EDP Sciences, 2020.