Impact of Covid-19 on Mental Health among Medical Students

Background: The COVID-19 pandemic is a major health crisis affecting several nations. Such widespread outbreaks are associated with adverse mental health consequences. Objective(s): To conduct a survey-based assessment of mental health among medical students during the COVID-19 pandemic. Aimed at identifying severity levels of depression and anxiety, stressors related to the pandemic, and barriers students experienced in handling the pandemic-related stress. Method(s): An analytical cross-sectional study was chosen as the study design for this research to study the association between demographic social and mental health among medical students during the pandemic COVID-19. Result(s): The results of this study were collected by respondents through questionnaires as the respondents were needed to answer about 16 questions and the main question was asked mostly about their mental health condition during the pandemic COVID-19. 101 respondents participated in the study. Discussion(s): the impact of COVID-19 on mental health among medical students has been studied. Due to the long-lasting pandemic situation and numerous measures such as lockdown and stay-at-home orders, COVID-19 brings negative impacts on higher education of medical students, self and social isolation, disconnection from friends and teachers resulting in more medical students than ever experiencing feelings of helplessness, isolation, grief, anxiety and depression. The issue of mental health is not only relevant but crucial. Demand for health support services has increased exponentially as a result. Conclusion(s): In this study, severity levels of depression and anxiety, stressors related to the pandemic, and barriers students experienced in handling the pandemic-related stress have increased due to many factors such as social isolation, own health and the health of loved ones, financial difficulties, suicidal thoughts, depressive thoughts, class workload, changes in living environment, eating patterns and sleeping habits.Copyright © RJPT. All right reserved.

A Special Type of Markov Branching Process Model for the Novel Coronavirus (Covid-19) Outbreak

Mathematical modeling has been an important tool to estimate key factors of the transmission and investigate the dynamical system of evolutionary nature in epidemics. More precisely, the outbreaks of the virus or epidemiology is generally considered as an application of branching process. Therefore, in this paper, we propose a special type of Markov branching process model to examine and explore some problems of the novel Coronavirus (COVID-19) infectious disease with the aims of reducing the effective reproduction number of an infection below unity. Since the COVID-19 has been recognized as a global pandemic, we have assessed a big amount of data such as hourly contagious, hospitalized patients, recovered and deaths. However, these data are necessary to be further processed to produce useful information for people and authorities when they make an efficient and optimal decisions. In such a decision-making process, we establish a special type of Gama Markov branching process model which has been successfully applied in other research areas such as queueing and waiting lines problems, stochastic reservoir problems, inventory controls and operation research. Specifically, we develop a three parameter Gama Markov branching process model that is structured in two parts, initial and latter transmission stages, so as to provide a comprehensive view of the virus spread through basic and effective reproduction numbers respectively, along with the probability of an outbreak sizes and duration. As an illustration, we have performed some simulations based on the daily data appearing on WHO dashboard in order to analyze the first semiannual spread of the ongoing Coronavirus pandemic in the region of Myanmar. The results show that the proposed model can be utilized for the real-life applications. © 2022, ICIC International. All rights reserved.