Using Health Belief Model for predicting COVID-19 prevention practices among university student and staff

Large-scale social restriction (PSBB-Pembatasan Sosial Berkala Besar) is a policy aimed at reducing the spread of coronavirus disease 2019 (COVID-19). The purpose of this study was to determine the respondents' compliance behaviors towards the PSBB regulations according to the Health Belief Model. This cross-sectional study was conducted at a private university in Jakarta using quantitative methods. Data collection was carried out on July 2020, where 116 respondents were selected and recruited in the study using convenience non-probability sampling. Online self-administered questionnaire was used to collect data. The independent variables were adopted from Health Belief Model theory. These included;perceived susceptibility, perceived severity, health motivation, perceived benefit, perceived barrier and cues to action. The dependent variable was COVID-19 prevention behavior. Results showed that variables of health motivation (p-value=0.001), perceived benefits (p-value=0.008), and perceived barriers (p-value=0.007), advertising (p-value=0.027), counseling (p-value=0.001), and media access (p-value=0.000) had significant effects on the respondents' compliance to COVID-19 prevention behaviors. Multivariate analysis showed significant association of health motivation and perceived benefits with COVID-19 prevention behavior. An intervention is required to improve the community’s perception and belief towards the benefits and effectiveness of COVID-19 prevention behavior in preventing the COVID-19 pandemic. © 2022, Intelektual Pustaka Media Utama. All rights reserved.

Responsibilities of type a mental hospitals for escapedpsychiatric patients during the covid-19 pandemic

This study aims to determine the form of responsibility for a mental hospital type A if a patient with a mental disorder (psychiatric patient) escaped from the hospital during the COVID-19 pandemic. Outpatients and inpatients with a mental disorder can escape from the hospital because they have disturbed-awareness. The pandemic conditions of the COVID-19 pandemic are hazardous to contract both patients and doctors, and health workers. There are some problems related to the burden of responsibility to the hospital or inpatient staff to psychiatric patients who escape from the hospital. The study concludes that the responsibility for psychiatric patients who escaped from the hospital includes three parties: the head of the hospital, the attending physician, and the health workers such as nurses.

Covid Symptom Severity Using Decision Tree

Corona is a very contagious virus. In a pandemic like this, people often worry whether they are infected or not. When they cough, they often worry whether it is a sign of covid-19 or an ordinary cough. From the clinical symptoms can actually be known whether someone has Covid or not. In this study, a clinical symptom dataset will be used to classify the symptoms using a Decision Tree algorithm. The decision trees used in this research arc J48 and Hoeffding Tree. Decision Tree is one of the most popular classification methods because it is easy to interpret by Humans. the prediction model uses a hierarchical structure. The concept is to convert data into decision trees or decision rules. the result of J48 were slightly better than the Hoeffding tree in terms of accuracy, precision, and recall. Meanwhile, from the tree view results, the Hoeffding Tree is simpler and the number of nodes is less than J48.

Antiviral therapy for COVID-2019

The whole world is experiencing a global pandemic caused by Coronavirus disease 2019. As the pandemic progresses, there has been much research on antiviral drugs, such as hydroxychloroquin, chloroquine, remdesivir, lopinavir-ritonavir, favipiravir, oseltamivir, and umifenovir. Specific antiviral drugs proven to be effective against SARS-CoV-2 have not been found and approved for the medication of COVID-19. Currently, case detection, infection control, monitoring, prevention, and supportive care are the means focused on the treatment of COVID-19. A large scale research is currently underway to analyze safety and efficacy of antiviral drugs, while trials of the SAR-CoV-2 vaccine are rapidly expanding. This mini review briefly introduces the current antiviral therapy for COVID-19. © 2021 Faculty of Anaesthesia, Pain and Intensive Care, AFMS. All rights reserved.

A current update in COVID-19 associated acute respiratory distress syndrome: Focus on mesenchymal stem cell therapy

Indonesia has been fighting the COVID-19 pandemic since the beginning of March 2020, and it doesn't look that the situation is getting better any soon. Besides the country's current strategies to minimize the rising mortality rate, a novel therapeutic intervention is required. After a thorough search in several databases, we found stem cells to be a likely candidate. Regardless of the general use of stem cells, studies showed positive results regarding the efficacy of using these in lung injuries. Especially, mesenchymal stem cells (MSCs) are known for their easy accessibility and their diverse mechanisms of action, including MSCs immunomodulatory antiviral effect, and its ability to improve lung function. Moreover, some researches perceived these components to be applicable in COVID-19 patients with end stage acute respiratory distress syndrome (ARDS). While randomized clinical trials are still in progress, many case reports show MSCs to be an advantageous alternative to suppress the cytokine storm and help regulate the immune system. This review summarizes the common functions of MSCs and highlights its therapeutic assets to fully tackle this global pandemic.