Impact of COVID-19 Cases, Deaths, Stringency and Vaccinations on the US Stock Market

The socio-economic environment of a country may significantly influence the size and working of the country?s financial markets in the long run. Keeping this in mind, this study aims to analyse the long-run and short-run impact of COVID-19 cases, deaths, stringency index, and vaccinations on the US stock market. Daily time series data ranging from 22 January 2020, to 30 April 2021, was considered in this study. The ARDL bounds test approach was employed to examine long-run and short-run relationships. Our statistical evidence suggests that, in the long run, confirmed cases and stringency have a negative and significant impact on stock markets, whereas vaccinations have a positive and significant effect on the stock markets. This indicates that any public health emergency adversely affects the stock markets, such as a pandemic outbreak. The government should ramp up the efforts towards vaccinating their citizens in the earliest possible timeline. Such actions of resurgence from the pandemic instil confidence in the market. Policymakers should be thoughtful about formulating contingency measures to effectively safeguard the population while preventing the deterioration in investor confidence.

A Review of Patient Satisfaction and Experience with Telemedicine: A Virtual Solution During and Beyond COVID-19 Pandemic.

Introduction: This article reviews the studies examining patients' perspective toward telemedicine and their preference for virtual health care services. Methods: An electronic literature search using PubMed was conducted to identify relevant research studies published between December 2019 and August 2020. Twenty-five studies were selected out of 1,041 studies based on inclusion and exclusion criteria, which highlight patients' satisfaction and experience with the use of telemedicine during the pandemic. Results: The findings based upon 48,144 surveyed patients and 146 providers in 12 different countries revealed high satisfaction with virtual encounters across a spectrum of diseases. Telemedicine was found satisfactory on various outcome measures, such as addressing patients' concerns, communication with health care providers, usefulness, and reliability. Most common advantages were time saved due to lesser traveling and waiting time, better accessibility, convenience, and cost efficiency. Age and sex did not significantly impact the satisfaction levels. Physicians and patients both showed a strong preference for continued usage and agreed upon telemedicine's potential to complement the regular health care services even after the pandemic. Technical challenges (reported in 10 studies) and lack of physical examination (reported in 13 studies) were the main limitations encountered in virtual visits. Conclusions: Long-term sustainability of telemedicine for all socioeconomic classes requires closer scrutiny of issues such as technology, training, reimbursement, data privacy, legal guidelines, and framework. Telemedicine must be adopted as a proactive strategy and scaled-up even beyond emergency usage due to its immense potential in complementing conventional health care services, such as diagnosis, treatment, follow-up, surveillance, and infection control.

Review of COVID-19 epidemiology and public health response in Europe in 2020.

OBJECTIVE: This study focuses on the epidemiology of COVID-19 in Europe and investigates public health response in severely hit countries. METHODS: European Centre for Disease Prevention and Control, Oxford COVID-19 Government Response Tracker and Health System Response Monitor were referred. The relationship between stringency index and COVID-19 cases, and between speed of stringency implementation and growth of cases was examined using linear regression. RESULTS: The case-fatality ratio (CFR) of Europe (2.35%) was higher than the global CFR (2.2%). United Kingdom, Russia, France, Italy, Spain, and Germany together, accounted for 61.15% of cases and 65.62% of deaths in Europe. Significant relationship was observed between growth of COVID-19 cases and late substantive stringency imposed by countries. Population aged 65 and above (r = 0.9037, p < 0.01) and male population (r = 0.8701, p < 0.01) were significantly and positively correlated with COVID-19 deaths. The public health system of even big European countries encountered roadblocks, such as shortages of healthcare resources and deferral of non-COVID-19 treatments while dealing with the unprecedented pandemic. CONCLUSION: Even big and richest European countries delayed the implementation of non-pharmaceutical interventions which led to rapid virus transmission. The pandemic has posed a reminder to make the public health system more resilient, as epidemics and pandemics of this nature will continue to threaten in future as well.

Mobility-based SIR model for complex networks: with case study Of COVID-19.

In the last decade, humanity has faced many different pandemics such as SARS, H1N1, and presently novel coronavirus (COVID-19). On one side, scientists have developed vaccinations, and on the other side, there is a need to propose models that can help in understanding the spread of these pandemics as it can help governmental and other concerned agencies to be well prepared, especially for pandemics, which spreads faster like COVID-19. The main reason for some epidemic turning into pandemics is the connectivity among different regions of the world, which makes it easier to affect a wider geographical area, often worldwide. Also, the population distribution and social coherence in the different regions of the world are non-uniform. Thus, once the epidemic enters a region, then the local population distribution plays an important role. Inspired by these ideas, we propose two versions of our mobility-based SIR model, (i) fully mixed and (ii) for complex networks, which especially takes into account real-life interactions. To the best of our knowledge, this model is the first of its kind, which takes into account the population distribution, connectivity of different geographic locations across the globe, and individuals' network connectivity information. In addition to presenting the mathematical proof of our models, we have performed extensive simulations using synthetic data to demonstrate the generalization capability of our models. Finally, to demonstrate the wider scope of our model, we applied our model to forecast the COVID-19 cases at county level (Estonia) and regional level (Rhône-Alpes region in France).

Therapeutically effective covalent spike protein inhibitors in treatment of SARS-CoV-2.

COVID-19 [coronavirus disease 2019] has resulted in over 204,644,849 confirmed cases and over 4,323,139 deaths throughout the world as of 12 August 2021, a total of 4,428,168,759 vaccine doses have been administered. The lack of potentially effective drugs against the virus is making the situation worse and dangerous. Numerous forces are working on finding an effective treatment against the virus but it is believed that a de novo drug would take several months even if huge financial support is provided. The only solution left with is drug repurposing that would not only provide effective therapy with the already used clinical drugs, but also save time and cost of the de novo drug discovery. The initiation of the COVID-19 infection starts with the attachment of spike glycoprotein of SARS-CoV-2 to the host receptor. Hence, the inhibition of the binding of the virus to the host membrane and the entry of the viral particle into the host cell are one of the main therapeutic targets. This paper not only summarizes the structure and the mechanism of spike protein, but the main focus is on the potential covalent spike protein inhibitors.

Impact of COVID-19 pandemic on pediatric cardiac services in India.

BACKGROUND: COVID-19 pandemic has disrupted pediatric cardiac services across the globe. Limited data are available on the impact of COVID.19 on pediatric cardiac care in India. AIMS: The aims are to study the impact of COVID-19 pandemic on the care of children with heart disease in India in terms of number of outpatient visits, hospitalizations, catheter-based interventions, and cardiac surgeries. SETTINGS AND DESIGN: This is a retrospective, multicentric, observational study. METHODS: We collected monthly data on the number and characteristics of outpatient visits, hospitalizations, catheter-based interventions, and cardiac surgeries and major hospital statistics, over a period of 5 months (April to August 2020), which coincided with the first wave of COVID-19 pandemic in India and compared it with data from the corresponding months in 2019. RESULTS: The outpatient visits across the 24 participating pediatric cardiac centers decreased by 74.5% in 2020 (n = 13,878) as compared to the corresponding period in 2019 (n = 54,213). The reduction in the number of hospitalizations, cardiac surgeries, and catheterization procedures was 66.8%, 73.0%, and 74.3%, respectively. The reduction in hospitalization was relatively less pronounced among neonates as compared to infants/children (47.6% vs. 70.1% reduction) and for emergency surgeries as compared to elective indications (27.8% vs. 79.2%). The overall in-hospital mortality was higher in 2020 (8.1%) as compared to 2019 (4.8%), with a higher postoperative mortality (9.1% vs. 4.3%). CONCLUSIONS: The current COVID-19 pandemic significantly impacted the delivery of pediatric cardiac care across India with two-third reduction in hospitalizations and cardiac surgeries. In an already resource-constrained environment, the impact of such a massive reduction in the number of surgeries could be significant over the coming years. These findings may prove useful in formulating strategy to manage subsequent waves of ongoing COVID-19 pandemic.

Studying leaders & their concerns using online social media during the times of crisis - A COVID case study.

Online social media (OSM) has emerged as a prominent platform for debate on a wide range of issues. Even celebrities and public figures often share their opinions on a variety of topics through OSM platforms. One such subject that has gained a lot of coverage on Twitter is the Novel Coronavirus, officially known as COVID-19, which has become a pandemic and has sparked a crisis in human history. In this study, we examine 29 million tweets over three months to study highly influential users, whom we refer to as leaders. We recognize these leaders through social network techniques and analyse their tweets using text analysis. Using a community detection algorithm, we categorize these leaders into four clusters: research, news, health, and politics, with each cluster containing Twitter handles (accounts) of individual users or organizations. e.g., the health cluster includes the World Health Organization (@WHO), the Director-General of WHO (@DrTedros), and so on. The emotion analysis reveals that (i) all clusters show an equal amount of fear in their tweets, (ii) research and news clusters display more sadness than others, and (iii) health and politics clusters are attempting to win public trust. According to the text analysis, the (i) research cluster is more concerned with recognizing symptoms and the development of vaccination; (ii) news and politics clusters are mostly concerned with travel. We then show that we can use our findings to classify tweets into clusters with a score of 96% AUC ROC.

COVID-19: A Comprehensive Review of Epidemiology and Public Health System Response in Nordic Region.

This paper investigates the epidemiology and public health response of novel coronavirus infection (COVID-19) in the Nordic region. The data on cases and deaths due to COVID-19 were drawn from the European Centre for Disease Prevention and Control. The data on age- and sex-wise cases, deaths and intensive care unit (ICU) admissions, and public health interventions in the Nordic region through November 10, 2020, were obtained from respective countries' health ministries. Sweden accounted for 60.59% of cases (162 240 of 267 768 cases) and 81% of deaths (6057 of 7477 cases) in the Nordic region. The incidence rate for the Nordic region was 989.59 per 100 000, varying from 327.30 per 100 000 in Finland to 1616.51 per 100 000 in Sweden, and the mortality rate for the region was 27.63 per 100 000, ranging from 5.3 per 100 000 in Norway to 60.35 per 100 000 in Sweden. The case-fatality ratio of the Nordic region was 2.79%. Females were more susceptible to COVID-19 infection than males (52.30% vs 47.66%), while males had a greater proportion of deaths (54.7%) and ICU need (71.99%) than females. It is imperative to continue with social distancing, mandatory masks, testing, prohibition of mass gatherings, isolation of confirmed cases, and preventing the importation of cases from other countries to avoid the further resurgence of cases.

Cross Talk between COVID-19 and Breast Cancer.

Cancer patients are more susceptible to COVID-19; however, the prevalence of COVID-19 in different types of cancer is still inconsistent and inconclusive. Here, we delineate the intricate relationship between breast cancer and COVID-19. Breast cancer and COVID-19 share the involvement of common comorbidities, hormonal signalling pathways, gender differences, rennin- angiotensin system (RAS), angiotensin-converting enzyme-2 (ACE-2), transmembrane protease serine 2 (TMPRSS2) and dipeptidyl peptidase-IV (DPP-IV). We also shed light on the possible effects of therapeutic modalities of COVID-19 on breast cancer outcomes. Briefly, we conclude that breast cancer patients are more susceptible to COVID-19 in comparison with their normal counterparts. Women are more resistant to the occurrence and severity of COVID-19. Increased expressions of ACE2 and TMPRSS2 are correlated with occurrence and severity of COVID-19, but higher expression of ACE2 and lower expression of TMPRSS2 are prognostic markers for overall disease free survival in breast cancer. The ACE2 inhibitors and ibuprofen therapies for COVID-19 treatment may aggravate the clinical condition of breast cancer patients through chemo-resistance and metastasis. Most of the available therapeutic modalities for COVID-19 were also found to exert positive effects on breast cancer outcomes. Besides drugs in clinical trend, TMPRSS2 inhibitors, estrogen supplementation, androgen deprivation and DPP-IV inhibitors may also be used to treat breast cancer patients infected with SARS-CoV-2. However, drug-drug interactions suggest that some of the drugs used for the treatment of COVID-19 may modulate the drug metabolism of anticancer therapies which may lead to adverse drug reaction events.

COVID-19 associated viral myocarditis: does it exist?

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), is a lethal pandemic that has claimed millions of lives worldwide. While respiratory involvement is the most common and most virulent manifestation of COVID-19, there is enough data to suggest that myocardial injury reflected through elevated troponin levels is seen in around 7-28% of patients and is related with increased morbidity and mortality.

Subtrochanteric fracture in a near term pregnant female in the back drop of COVID-19 pandemic: A triple trouble pregnant with peril all along

Outbreak of severe acute respiratory syndrome corona virus was first reported in Wuhan province in China. By February all hell broke loose in Europe and other continents. Spread of virus in India with 1.38 billion population posed an unprecedented challenge to its health care system. We hereby report a rare case of subtrochanteric fracture of femur in a near term (35 weeks) pregnant female who was treated at our tertiary care center in the times of Covid-19. Combination of pregnancy and Subtrochanteric femoral fracture is a double trouble with high morbidity and mortality and in time of Corona pandemic it became a unique challenge where two lives were at risk. Here we share our experience of dealing this case with multidisciplinary approach and sticking to our clinical sense as literature for Covid-19 pandemic is barely 4 months old and devoid of any guideline for such cases so far. [ABSTRACT FROM AUTHOR] Copyright of Asian Journal of Medical Sciences is the property of Manipal Colleges of Medical Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Early Impact of the COVID-19 Pandemic on Congenital Heart Surgery Programs Across the World: Assessment by a Global Multi-Societal Consortium.

The coronavirus disease 2019 (COVID-19) pandemic currently gripping the globe is impacting the entire health care system with rapidly escalating morbidities and mortality. Although the infectious risk to the pediatric population appears low, the effects on children with congenital heart disease (CHD) remain poorly understood. The closure of congenital heart surgery programs worldwide to address the growing number of infected individuals could have an unintended impact on future health for COVID-19-negative patients with CHD. Pediatric and congenital heart surgeons, given their small numbers and close relationships, are uniquely positioned to collectively assess the impact of the pandemic on surgical practice and care of children with CHD. We present the results of an international survey sent to pediatric and congenital heart surgeons characterizing the early impact of COVID-19 on the care of patients with CHD.