ABSTRACT
Coronavirus disease (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Acute respiratory distress syndrome (ARDS) is a feature of SARS-CoV-2, and transferring patients with severe ARDS is challenging owing to their condition and risk of infection during the transfer process. The hemodynamic instability of critically ill patients adds to the challenge of safe transfer, which requires thorough preparation of personnel, medication, equipment, and communication and transport methods, all of which must be organised within the infection control framework. In this case report we discuss a woman, 37 years of age, with suggested COVID-19, intubated due to severe ARDS. Owing to the hospital referral policy in Indonesia, the patient was transferred to a specialist infectious disease hospital by land ambulance, with a special transfer team formed to adhere to infection control protocols and critical patient transfer procedures. Copyright © 2020, Australasian College of Paramedicine. All rights reserved.
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
Measurement of body temperature and respiration rate is the most basic screening in knowing a person's health. For security reasons and to prevent the spread of transmission, in the Covid-19 pandemic conditions, measurements can be made by security robots. Measurement of body temperature and respiration rate was done non-contact based on thermal imaging. Temperature measurement is based on the temperature in the face area, while the respiration rate is based on changes in temperature in the nose area. The ability to measure temperature gives an accuracy of 98.21% with a standard deviation of 0.536. And the best respiration rate is the fast Fourier transform method which gives an accuracy of 79.8% with a standard deviation of 3.291. © 2022 Wydawnictwo SIGMA-NOT. All rights reserved.
ABSTRACT
This research aims to develop software that can detect faces that use masks, do not use masks, and use masks in incorrect positions with the TensorFlow library applying the Convolutional Neural Network (CNN) method. The software development method used is the Incremental Method. Incremental one focuses on building a CNN model using the evaluation of the confusion matrix and incremental two focuses on developing a software display using black box testing. The result in incremental one is a CNN model with a confusion matrix evaluation resulting in a model that has 98.83% accuracy, 98.84% precision, 98.78% recall, and 98.81% fl-score. The second incremental result is the display of the software that has been black box tested and is ready to be used for detection. The final result of this research is software that can detect human face objects using masks, not using masks, and using masks in the incorrect position © 2022 IEEE.
ABSTRACT
1,533 confirmed cases of Covid-19 were recorded in Central Java until June 3, 2020. It is estimated to increase every day. However, reports on the epidemiological characteristics of confirmed cases of Covid- 19 are still limited. The purpose of this study is to describe the confirmed case of COVID-19 in Central Java. This study uses descriptive quantitative design, in which we describe 1,533 cases based on patient characteristics, history of comorbidities, travel history and symptoms. The data of patients processed with descriptive statistical analysis from the Department of Health of Central Java. The results of the study showed that of 1,533 confirmed cases, 64.05 % were male patients and 46.7% aged 19-44 years. From 102 death cases, it is dominated by men (64.7 %) and the elderly 60 years (50 %). The highest IR is the City of Semarang with IR of 17.9 / 100,000 population. The most common history of comorbidities is hypertension and diabetes mellitus with a total of 5 cases each. Cases with a domestic travel history had the highest number of 34.1% while those without a travel history amounted to 65%. The symptoms experienced by most confirmed patients are Cough, Fever with 10.8%. Thus, it was concluded that confirmed cases in Central Java were spread in 35 cities / regencies with high number. It is necessary to conduct a detailed confirmed case reports to control the policy on Covid-19 prevention and countermeasures in Central Java. © The Authors, published by EDP Sciences, 2020.
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.
ABSTRACT
BACKGROUND: To date, no recommendations have been published on when and how to start again carrying out elective, non-urgent surgery on COVID-19-negative patients after the epidemic peak has been reached in a given country or region and the pressure on healthcare facilities, healthcare workers and resources has been released by so far that elective surgery procedures can be safely and ethically programmed again. This study aims to investigate whether elective orthopaedic surgery will increase the risk of developing COVID-19. MATERIALS AND METHODS: This was a combined retrospective and prospective studies performed at a national tertiary hospital in Jakarta, Indonesia. Subjects were patients who underwent elective orthopaedic surgeries at our institution from April to May 2020. Those who were previously infected with COVID-19 from polymerase chain reaction (PCR) reverse transcriptase (RT) examination obtained via nasopharynx and oropharynx swab, as well as those who were reluctant to participate were excluded from the study. RESULTS: A total of 35 subjects (mean age 32.89 ± 17.42) were recruited. Fifteen (42.9%) subjects were male, and 20 subjects (57.1%) were female. Mean duration of surgery was 240 min with the longest and shortest duration of 690 and 40 min, respectively. General anaesthesia was performed in the majority of cases in 18 surgeries (51.4%) with local anaesthesia as the least in 2 surgeries (5.7%). Length of stay of our study was 6 days of average. None of the patients developed symptoms suggestive of COVID-19 infection. CONCLUSION: We found that elective orthopaedic surgery may not be associated with increased cases of COVID-19 cases. However, our study was limited by short duration of follow-up. Further studies are required in order to investigate the affect of undergoing elective surgery and the number of COVID-19 cases.