ABSTRACT
People with chronic conditions faced a type of double jeopardy during the COVID-19 pandemic. Their pre-existing health conditions made them more likely to become severely ill-and more likely to be admitted to intensive care, intubated, and die-if infected with SARS-CoV-2, the virus that causes COVID-19. At the same time, access to needed screening, testing, and treatment was often limited due to the cancelation of primary care services by healthcare providers and systems overwhelmed by the need to treat patients with COVID-19. Patients with chronic conditions feared being exposed to COVID-19 while receiving care. The resulting stress, fear, and anxiety made the management of chronic diseases even more difficult. Several subsets of patients with certain medical conditions, including immunodeficiencies and disabilities, were particularly impacted. The COVID-19 pandemic, and the response to it, also impacted support and services available to caregivers and heightened stress, particularly among parents and caregivers. © 2023 The authors.
ABSTRACT
This research paper aims to examine the impact of the COVID-19 pandemic on volatility patterns and its global implication for the textile industry in China. The COVID-19 pandemic has generated a global health crisis with profound economic, social and financial implications, but also has triggered a ruthless global recession. The global economic recovery as a result of the COVID-19 pandemic can also generate significant investment opportunities for the textile industry in China. In this paper, the application of empirical methods could explain historical prices, the movement dynamics of financial assets, and investigate various important characteristics of asset pricing that explore details of the Chinese stock market. The econometric framework includes the following: symmetric Generalize Autoregressive Conditional Heteroscedastic GARCH (1, 1) model, asymmetric GARCH models such as EGARCH and GJR models. The main aim is to identify the asymmetric volatility effect, and impact of news on the SSE Composite Index and investigate long memory properties in volatility using daily data for the sample period from 19th December 1990 to 31st December 2020. This empirical study contributes to the existing literature on the impact of the COVID-19 pandemic on international stock markets, by investigating symmetric and asymmetric volatility patterns in the case of the Shanghai Stock Exchange from China.
ABSTRACT
Given that the financial markets are facing the effects of the coronavirus pandemic, we chose to perform an analysis on them, in order to see the transmission of volatility, the effects of the contagion and the interconnection between the financial markets. Using stock indices from different countries and applying theoretical and empirical methods such as univariate and multivariate models (ARCH–GARCH, BEKK), we aim to capture volatility and bidirectional contagion, as well as testing and occurring the phenomenon of clustering volatility and its transmission effect. © 2022, Bucharest University of Economic Studies. All rights reserved.
ABSTRACT
COVID-19, a pandemic caused by severe acute respiratory syndrome (SARS) corona virus-2 has been a worldwide challenge for the entire mankind. However, a safe and efficacious vaccine would be clinically valuable to reduce the risks of COVID-19. In this study, we aimed to assess the seroprevalence of the Neutralizing IgG Antibodies six months after completion of both the doses of Covishield Vaccination (ChAdox1 nCoV-19) and compare it with the IgG titres one month after the first dose and one month after the second dose of the vaccine respectively. The efficacy, safety and comorbidities related to the vaccine were also assessed at different time intervals. The levels of IgG antibodies were estimated in 72 subjects from the Teerthanker Mahaveer Medical College & Research Centre (who turned up after six months of the complete regimen of Covishield Vaccination) using the Enzyme-Linked Immunosorbent Assay (ELISA) Technique. A highly significant increase (p= 0.00) in the neutralizing Antibodies titre was seen in fully vaccinated individuals post six months when compared to the titres of post one month of 1st & 2nddoses. It can therefore be concluded that (ChAdox1 nCoV-19) Covishield Vaccination if administered in full regimen has both acceptable efficacies as well as safety profile. Hence, a complete vaccine regimen may prove as an effective strategy against COVID-19 and consequent minimization of long-term morbid effects. © 2022 International Journal of Health Sciences.
ABSTRACT
Objective: To explore opportunities, challenges, and feasibility of telehealth for new patients with neuromuscular disorders. Background: The coronavirus disease 2019 pandemic has changed the face of health care delivery. Health care institutions rapidly transitioned to telehealth to provide care to patients. Prior to the pandemic, telehealth services extended mostly to patients with established diagnoses. Driven by a necessity to provide care to all patients during the pandemic, neurologists started evaluating new patients also via telehealth. Design/Methods: New patient visits performed in our neuromuscular clinic were analyzed from March 18, 2020 - July 31, 2020. Data collected included visit volume, demographics, geographic distance of patient's residence from our institution, and no-show and cancellation rates. Results: Total number of patients seen was 1,471;472 (32%) were new patients. No-show and cancellation rates for telehealth visits were lower than historical in-person visits. There was a wide range of ages (35-74 years) with representation of new patients from a large geographical territory. Conclusions: This study advances our understanding regarding the adoption and implementation of telehealth for new patients. Our clinic was able to provide timely access and care to a significant number of patients who could not travel to our institution during COVID19.
ABSTRACT
This paper investigates volatility spillovers in the stock market in Japan during the COVID-19 pandemic by using GARCH family models. The empirical analysis is focused on the dynamics of the NIKKEI 225 stock market index during the sample period from July 30, 1998, to January 24, 2022. In other words, the sample period covers both the period of the global financial crisis (GFC) and the COVID-19 pandemic. The econometrics includes GARCH (1,1), GJR (1,1), and EGARCH (1,1) models. By applying GARCH family models, this empirical study also examines the long-term behavior of the Japanese stock market. The Japanese stock market is much more stable and efficient than emerging or frontier markets characterized by higher volatility and lower liquidity. The paper establishes that NIKKEI 225 index dynamics is different in intensity in the case of the two most recent extreme events analyzed, namely the global financial crisis (GFC)of 2007-2008 and the COVID-19 pandemic. The findings confirmed the presence of the leverage effect during the sample period. Moreover, the empirical results identified the presence of high volatility in the sample returns of the selected stock market. Nevertheless, the econometric framework showed that the negative implications of the GFC were much more severe and caused more significant contractions compared to the COVID-19 pandemic for the Japanese stock market. This study contributes to the existing literature by providing additional empirical evidence on the long-term behavior of the stock market in Japan, especially in the context of extreme events. © 2022 LLC CPC Business Perspectives. All rights reserved.
ABSTRACT
Coronavirus outbreak has challenged the medical, public health infrastructure and economic status of nearly all countries across the World. The main issue of concern with SARS-CoV-2 has been the high infectivity rate and the high mortality rate especially, observed during the wave 2 of COVID-19. The symptoms associated with SARS-CoV-2 are often misleading with influenza and another respiratory tract seasonal viral infection as, majority of the patients report common constitutional symptoms. Hence, correct diagnosis for COVID-19 may play a key role in early detection, management and curtailment in the transmission rate.Therefore, apart from limiting this outbreak, efforts need to be made to plan comprehensive and stringent measures to develop diagnostic tools to prevent future outbreaks of this zoonotic disease. The present manuscript provides a detailed description of various indices and parameters which are currently being used for easier, rapid, accurate diagnosis, medical managementand prognosis assessment of COVID-19 patients in various stages of the disease.
ABSTRACT
The major aim of this empirical study is to estimate the volatility time series returns for a cluster of international stock markets, such as: Switzerland, Austria, China and Hong Kong. The paper demonstrates statistical modeleling in order to capture volatility clusters and changes in long and short term volatility impact. The econometric approch is based on randomly selected daily closing return collected for the main indices of stock markets in Switzerland, Austria, China and Hong Kong for the sample period January 2003 to September 2021. We used various statistical properties to test normalities based on using GARCH family models for estimating financial market volatility. Moreover, the sampled time interval includes two extreme events such as the global financial crisis (GFC) of 2007–2008 and the recent COVID-19 pandemic. © 2021, Universitatea din Craiova. All rights reserved.
ABSTRACT
We develop questions for a COVID-19 research agenda from the anthropology of disasters to study the production of pandemic as a feature of the normatively accepted societal state of affairs. We encourage an applied study of the pandemic that recognizes it as the product of connections between people, with their social systems, nonhumans, and the material world more broadly, with attention to root causes, (post)colonialism and capitalism, multispecies networks, the politics of knowledge, gifts and mutual aid, and the work of recovery.