COVID, Volume 3, Issue 1 (January 2023) – 6 articles

In the ongoing COVID-19 pandemic, digital technologies have played a vital role to minimize the spread of COVID-19, and to control its pitfalls for the general public. Without such technologies, bringing the pandemic under control would have been tricky and slow. Consequently, exploration of pandemic status, and devising appropriate mitigation strategies would also be difficult. In this paper, we present a comprehensive analysis of community-beneficial digital technologies that were employed to fight the COVID-19 pandemic. Specifically, we demonstrate the practical applications of ten major digital technologies that have effectively served mankind in different ways during the pandemic crisis. We have chosen these technologies based on their technical significance and large-scale adoption in the COVID-19 arena. The selected technologies are the Internet of Things (IoT), artificial intelligence(AI), natural language processing(NLP), computer vision (CV), blockchain (BC), federated learning (FL), robotics, tiny machine learning (TinyML), edge computing (EC), and synthetic data (SD). For each technology, we demonstrate the working mechanism, technical applications in the context of COVID-19, and major challenges from the perspective of COVID-19. Our analysis can pave the way to understanding the roles of these digital COVID-19-fighting technologies that can be used to fight future infectious diseases to prevent global crises. Moreover, we discuss heterogeneous data that have significantly contributed to addressing multiple aspects of the ongoing pandemic when fed to the aforementioned technologies. To the best of the authors’ knowledge, this is a pioneering work on community-beneficial and transformative technologies in the context of COVID-19 with broader coverage of studies and applications. Full article

Introduction: SARS-CoV-2 is the newest beta coronavirus family member to demonstrate neuroinvasive capability in severe cases of infection. Despite much research activity in the SARS-CoV-2/COVID-19 space, the gene-level biology of this phenomenon remains poorly understood. In the present analysis, we leveraged spatial transcriptomics methodologies to examine relevant gene heterogeneity in tissue retrieved from the human prefrontal cortex. Methods: Expression profiles of genes with established relations to the SARS-CoV-2 neuroinvasion process were spatially resolved in dorsolateral prefrontal cortex tissue (N = 4). Spotplots were generated with mapping to six (6) previously defined gray matter layers. Results: Docking gene BSG, processing gene CTSB, and viral defense gene LY6E demonstrated similar spatial enrichment. Docking gene ACE2 and transmembrane series proteases involved in spike protein processing were lowly expressed across DLPFC samples. Numerous other findings were obtained. Conclusion: Efforts to spatially represent expression levels of key SARS-CoV-2 brain infiltration genes remain paltry to date. Understanding the sobering history of beta coronavirus neuroinvasion represents a weak point in viral research. Here we provide the first efforts to characterize a motley of such genes in the dorsolateral prefrontal cortex. Full article

Background: COVID-19 increased health inequalities worldwide. Even among healthcare workers, social-economical features enhanced the risk of infection (having positive serology) during the first outbreak. The Omicron variant changed the pandemic course and differs from previous variants in many aspects (molecular, clinical, and epidemiological). Herein, we investigated if the profile of our hospital SARS-CoV-2-positive workers during the Omicron outbreak was the same as the first COVID-19 wave. Methods: Socio-demographics, previous infection, and vaccine status of 351 healthcare workers from our institution during the Omicron outbreak were compared between SARS-CoV-2-negative and -positive workers, using chi-square tests. These data were confronted with the profile observed at the beginning of the pandemic. Results: Compared to the original COVID-19 wave, higher odds of SARS-CoV-2 positivity in highly exposed workers in our hospital and a loss of impact of public transportation and other socio-demographic features in SARS-CoV-2 transmission were observed. Conclusions: Our data suggest the current phase of the pandemic is associated with a reduction of social inequalities among healthcare workers in Rio de Janeiro, possibly due to vaccine-associated protection. Therefore, a worldwide effort to advance vaccination coverage, especially for healthcare workers in developing countries, should be reinforced. Full article

Due to a large number of mutations in the spike protein and immune escape, the Omicron variant (B.1.1.529) has become a predominant variant of concern (VOC) strain. To prevent the disease, we developed a candidate inactivated vaccine (Omicron COVID-19 Vaccine (Vero Cell), Inactivated). To evaluate the safety of the vaccine, we tested the repeat-dose toxicity in Sprague-Dawley (SD) rats. The doses were administered randomly to three groups: physiological saline solution (control), aluminum adjuvant in PBS solution adjuvant (adjuvant group), and low-dose and high-dose omicron vaccines (vaccine group) for 6 weeks. The SD rats were allowed to recover for 4 weeks after withdrawal. We evaluated the physiological condition of the rats, including their ophthalmological condition, body weight, food intake, body temperature, blood biochemistry, urine, neutralizing antibody, inflammation at the injection site, and organs weight. In summary, no dose-dependent adverse toxicological changes were observed, and a recovery trend was obvious, which proved the preclinical safety of the candidate omicron vaccine and provided evidence for clinical trials in humans. Full article

Compared to previous SARS-CoV-2 variants, the Omicron variant exhibited different epidemiological features. The purpose of this study was to assess the wave dynamics of pre-Omicron and Omicron waves in terms of differences and similarities. We investigated the COVID-19 waves since the beginning of the pandemic up to 28 August 2022, 1000 waves in total, as to their effectiveness for flattening the curve, calculated from the first and second time derivative of the daily case data. The average number of Omicron waves per month (42.78) was greater than the one of pre-Omicron waves per month (25.62). Omicron waves steepen and flatten the curve significantly faster, more effectively and with sharper peaks. Omicron waves generated more daily case data than pre-Omicron waves; the pre-Omicron trend showed increasing numbers over time, whereas the Omicron trend showed decreasing numbers. In denser populated countries, pre-Omicron waves were managed more effectively, in contrast to Omicron waves which were managed less effectively (but more effectively in less densely populated countries). This study provides the evidence for a different behaviour of Omicron waves in terms of wave dynamics, and thereby confirms that the Omicron variant is not only genetically different but even more so in terms of epidemiological dynamics. Full article

Industries worldwide have faced continuous burdens since the beginning of the COVID-19 pandemic, while adjusting to rapidly changing rules and regulations. Industries need to be prepared to remain operational and productive in the face of current and emergent pathogens. While several businesses could remain functional through remote work, critical industries faced closings, worker shortages, and loss of productivity. Pharmaceutical industries were blessed with an increase in the stock market and creation of new jobs, but faced serious severe challenges due to shortage of medicines and drugs. Critical infrastructures such as healthcare, food and agriculture, manufacturing, construction, transportation, retail, waterworks, and waste management took a significant hit during the pandemic, and are still suffering from worker shortages to function optimally. Above all odds, companies were able to maintain the necessities by implementing strict safety protocols such as thorough and repeated cleaning, use of hand sanitizer/disinfectants, wearing face masks and personal protective equipment, and maintaining social distancing. This article addresses how COVID-19 disrupted normal operations on a large scale, and how essential businesses have learned to assess the impact, handle situations effectively, and become resilient for future crises. Best practices were tailored to each industry sector to prepare for and address the pandemic. Full article