Socioeconomic spillovers of COVID-19: case of Saudi Arabia

PurposeWith the global outbreak of COVID-19 that has made the economic activities standstill, countries have taken immediate measures to safeguard not only the human lives but also the economies. This study investigates empirically the lockdown impact of current pandemic on the Saudi economy.Design/methodology/approachThe study employs inoperability input–output model (IIOM) on the input–output table (IOT) of Saudi Arabia for the analysis.FindingsFindings show that with the closure of few sectors for the period of two months, the GDP declined to 6.49%. Findings also show a negative impact on consumption, investments and exports.Research limitations/implicationsOne limitation of current study is that it uses IOTs which lack primary and secondary income distribution that is vital for presenting complete interindustry connections in the analysis. The interindustry structures relate to the consumption structures which ultimately lead to the income distribution and affect the consumption behaviors of economic agents. Hence, the complete income circular flow is not incorporated in IIOM using IOT. The findings of current study would be well grounded if it endogenized the primary and secondary income distribution.Practical implicationsThe practical implication of this study is the use of IIOM for anticipating the potential loss against the backdrop of catastrophes and pandemics. The IIOM has the capability to predict the economic effects of disruptive events and hence the policy-makers can better predict and devise prudent policies to avoid the likely threats to the economy.Originality/valueThe current situation is unprecedented, and it is challenging for governments to forecast the economic repercussions. Several economic sectors have been inoperative due to lockdown implemented by the governments. This study empirically estimated the inoperability produced by the current pandemic. The findings are consistent with other estimated statistics, thereby proving the efficacy of IIOM to anticipate the economic repercussions of natural hazards.

A case report of a large right atrial myxoma: the role of virtual consultations and imaging during the COVID-19 pandemic.

We present a case report of a right atrial myxoma first diagnosed on a transthoracic echocardiogram after telephone consultations held in lieu of face-to-face consultations during the first wave of the COVID-19 pandemic. The echocardiogram was requested on the second telephone consultation 3 months after an initial presentation with a dry cough and fatigue due to new symptoms of palpitations and shortness of breath raising suspicion of heart failure. Virtual consultations continue to replace face-to-face consultations to avoid unnecessary exposure to COVID and reduce health care costs. This case report focuses on the importance of obtaining a systematic history, identifying red flags, referring to appropriate specialties and requesting the right investigations for early diagnosis and management of conditions with serious complications.

COVID-19 Detection Empowered with Machine Learning and Deep Learning Techniques: A Systematic Review

COVID-19 has infected 223 countries and caused 2.8 million deaths worldwide (at the time of writing this article), and the death rate is increasing continuously. Early diagnosis of COVID patients is a critical challenge for medical practitioners, governments, organizations, and countries to overcome the rapid spread of the deadly virus in any geographical area. In this situation, the previous epidemic evidence on Machine Learning (ML) and Deep Learning (DL) techniques encouraged the researchers to play a significant role in detecting COVID-19. Similarly, the rising scope of ML/DL methodologies in the medical domain also advocates its significant role in COVID-19 detection. This systematic review presents ML and DL techniques practiced in this era to predict, diagnose, classify, and detect the coronavirus. In this study, the data was retrieved from three prevalent full-text archives, i.e., Science Direct, Web of Science, and PubMed, using the search code strategy on 16 March 2021. Using professional assessment, among 961 articles retrieved by an initial query, only 40 articles focusing on ML/DL-based COVID-19 detection schemes were selected. Findings have been presented as a country-wise distribution of publications, article frequency, various data collection, analyzed datasets, sample sizes, and applied ML/DL techniques. Precisely, this study reveals that ML/DL technique accuracy lay between 80% to 100% when detecting COVID-19. The RT-PCR-based model with Support Vector Machine (SVM) exhibited the lowest accuracy (80%), whereas the X-ray-based model achieved the highest accuracy (99.7%) using a deep convolutional neural network. However, current studies have shown that an anal swab test is super accurate to detect the virus. Moreover, this review addresses the limitations of COVID-19 detection along with the detailed discussion of the prevailing challenges and future research directions, which eventually highlight outstanding issues.

Novel mutations in NSP-1 and PLPro of SARS-CoV-2 NIB-1 genome mount for effective therapeutics.

BACKGROUND: Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), the etiologic agent of coronavirus disease 2019 (COVID-19), is rapidly acquiring new mutations. Analysis of these mutations is necessary for gaining knowledge regarding different aspects of therapeutic development. Previously, we have reported a Sanger method-based genome sequence of a viral isolate named SARS-CoV-2 NIB-1, circulating in Bangladesh. The genome has four novel non-synonymous mutations in V121D, V843F, A889V, and G1691C positions. RESULTS: Using different computational tools, we have found V121D substitution has the potential to destabilize the non-structural protein-1 (NSP-1). NSP-1 inactivates the type-1 interferon-induced antiviral system. Hence, this mutant could be a basis of attenuated vaccines against SARS-CoV-2. V843F, A889V, and G1691C are all located in nonstructural protein-3 (NSP-3). G1691C can decrease the flexibility of the protein. V843F and A889V might change the binding pattern and efficacy of SARS-CoV-2 papain-like protease (PLPro) inhibitor GRL0617. V843F substitution in PLPro was the most prevalent mutation in the clinical samples. This mutation showed a reduced affinity for interferon-stimulated gene-15 protein (ISG-15) and might have an impact on innate immunity and viral spread. However, V843F+A889V double mutant exhibited the same binding affinity as wild type PLPro. A possible reason behind this phenomenon can be that V843F is a conserved residue of PLPro which damaged the protease structure, but A889V, a less conserved residue, presumably neutralized that damage. CONCLUSIONS: Mutants of NSP-1 could provide attenuated vaccines against coronavirus. Also, these mutations of PLPro might be targeted to develop better anti-SARS therapeutics. We hope our study will help to get better insides during the development of attenuated vaccine and PLPro inhibitors.

Torn Between Caution and Compassion: a Dilemma for Clinicians from Black and Minority Ethnic Groups During the COVID-19 Pandemic.

The wide disparity in coronavirus disease (COVID-19)-related death rates based upon the ethnic origin is well established by now. The higher incidence of COVID-19 deaths amongst the healthcare staff belonging to black and minority ethnic (BAME) communities living in the United Kingdom has generated a great deal of concern and anxiety in clinicians. Public Health England (PHE) has outlined mitigation strategies after immense pressure from professional organisations and influential clinical leaders. Although seemingly well thought through, these measures fall short of addressing the professional, moral and emotional dilemma faced by the BAME clinicians who feel that they are being expected to choose between their duty towards their patients and the profession, and their responsibility to look after their own health.

Advances in the possible treatment of COVID-19: A review.

The emergence of the global pandemic caused by novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has put a challenge to identify or derive the therapeutics for its prevention and treatment. Despite the unprecedented advances in the modern medicinal system, currently, there are no proven effective therapies. However, rapid research on SARS-CoV-2 epidemiology help unveiling some new targets for potential drug therapies. Many drugs have been screened, and even their clinical trials are going on at an exceptional pace. Amongst these RNA-dependent RNA polymerase inhibitors (favipiravir and remdesivir) and steroids especially dexamethasone showed promising effects. The biological agents like tocilizumab, interferons, and convalescent plasma prove to be beneficial in viral clearance. Moreover, many immunomodulatory and viral S protein targeting vaccines have their ongoing clinical trials. The establishment of various in vitro and in vivo models for preclinical studies can additionally help the current research. The volume and the pace of the clinical trials launched to evaluate the safety and efficacy of various agents against coronavirus disease 2019 (COVID-19) reflect the need for high-quality evidence for various therapies to be practiced by clinicians. This study aims to sum up all the current advances in the global medicinal system against the COVID-19.

Coding-Complete Genome Sequence of SARS-CoV-2 Isolate from Bangladesh by Sanger Sequencing.

A coding-complete genome sequence of a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) isolate was revealed. The sample for the virus was isolated from a female patient from Dhaka, Bangladesh, suffering from coronavirus disease-2019 (COVID-19).

Biosafety and biosecurity approaches to restrain/contain and counter SARS-CoV-2/COVID-19 pandemic: a rapid-review.

Emergence and reemergence of infectious diseases pose significant public health risks that are continuously haunting human civilization in the past several decades. Such emerging pathogens should be considered as a high threat to humans, animals, and environmental health. The year 2020 was welcomed by another significant virus from family Coronaviridae called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that caused the coronavirus disease 2019 (COVID-19). The disease was first reported in the city of Wuhan, Hubei province, China. Within a short time, this disease attained the status of the Public Health Emergency of International Concern. Presently, COVID-19 has spread to more than 150 countries, therefore, the World Health Organization (WHO) called it a pandemic. The Chinese government, along with WHO, other health agencies, and many nations, are monitoring the current situation closely to analyze the impact of SARS-CoV-2/COVID-19 on humans, animals, and environmental health. In the context of the current situation, biosafety and biosecurity measure that focus on One Health aspects of the disease outbreaks and the SARS-CoV-2 spread are of great importance to restrain this pathogen. Along with these efforts, standard precaution and control measures should also be taken at personal and community level to prevent the spreading of any contagion diseases, including COVID-19. Researchers are putting their very high efforts to develop suitable vaccines and therapeutics/drugs to combat COVID-19. This review aims to highlight the importance of biosafety, biosecurity, One Health approach, and focusing on recent developments and the ways forward to prevent and control COVID-19 in a useful way.

COVID-19 - does exercise prescription and maximal oxygen uptake (VO2 max) have a role in risk-stratifying patients?

As the UK shields 'high risk' patients and enforces social distancing measures, patients will be at risk of significantly reducing physical activity levels. We explore the evidence base for COVID-19-specific recommendations and exercise interventions to 'precondition' patients prior to infection and appraise the role of maximal oxygen uptake (VO2 max) as a risk-stratifying triage tool. We conclude that structured exercise programmes can be used to maintain physical activity levels and prevent deconditioning and that VO2 max has the potential to be used as a clinically relevant triage tool during the COVID-19 outbreak.