Reviewing methods of deep learning for diagnosing COVID-19, its variants and synergistic medicine combinations.

The COVID-19 pandemic has necessitated the development of reliable diagnostic methods for accurately detecting the novel coronavirus and its variants. Deep learning (DL) techniques have shown promising potential as screening tools for COVID-19 detection. In this study, we explore the realistic development of DL-driven COVID-19 detection methods and focus on the fully automatic framework using available resources, which can effectively investigate various coronavirus variants through modalities. We conducted an exploration and comparison of several diagnostic techniques that are widely used and globally validated for the detection of COVID-19. Furthermore, we explore review-based studies that provide detailed information on synergistic medicine combinations for the treatment of COVID-19. We recommend DL methods that effectively reduce time, cost, and complexity, providing valuable guidance for utilizing available synergistic combinations in clinical and research settings. This study also highlights the implication of innovative diagnostic technical and instrumental strategies, exploring public datasets, and investigating synergistic medicines using optimised DL rules. By summarizing these findings, we aim to assist future researchers in their endeavours by providing a comprehensive overview of the implication of DL techniques in COVID-19 detection and treatment. Integrating DL methods with various diagnostic approaches holds great promise in improving the accuracy and efficiency of COVID-19 diagnostics, thus contributing to effective control and management of the ongoing pandemic.

Flare of the silent pandemic in the era of the COVID-19 pandemic: Obstacles and opportunities.

A noteworthy public health problem, antimicrobial resistance (AMR) has been impeded in many ways by the coronavirus disease 2019 (COVID-19) pandemic. This narrative review discusses the two-sided impact of COVID-19 on the magnitude of AMR. The pandemic has put tremendous strain on healthcare systems, diverting resources, personnel, and attention away from AMR diagnosis and management toward COVID-19 diagnosis and contact tracking and tracing. AMR research has been severely hampered, and surveillance and antimicrobial stewardship (AMS) programs have been de-emphasized, delayed, or halted. Antibiotics, particularly broad-spectrum, were prescribed more frequently without diagnostic confirmation of bacterial infection than before the pandemic. Nonetheless, the COVID-19 pandemic has highlighted the vulnerability of healthcare systems in controlling infectious disease threats and raised awareness of the importance of infection prevention and control. Yet, the pandemic has created opportunities to capitalize on positive effects on AMR management. The review concludes that it is now more important than ever to focus on AMR and strengthen AMS programs to ensure appropriate antibiotic use and other AMR prevention measures in healthcare. We must ensure that one of the COVID-19 legacies is increased support for AMR research, diagnostic implementation, appropriate diagnostic stewardship, and the strengthening of our health systems. The COVID-19 pandemic has demonstrated that prevention is better than cure. Countries will need to step up their efforts to combat AMR as a multidisciplinary community. We must prepare our public health systems to combat multiple threats at the same time.

Comparative highlights on MERS-CoV, SARS-CoV-1, SARS-CoV-2, and NEO-CoV.

The severe acute respiratory syndrome (SARS-CoV, now SARS-CoV-1), middle east respiratory syndrome (MERS-CoV), Neo-CoV, and 2019 novel coronavirus (SARS-CoV-2/COVID-19) are the most notable coronaviruses, infecting the number of people worldwide by targeting the respiratory system. All these viruses are of zoonotic origin, predominantly from bats which are one of the natural reservoir hosts for coronaviruses. Thus, the major goal of our review article is to compare and contrast the characteristics and attributes of these coronaviruses. The SARS-CoV-1, MERS-CoV, and COVID-19 have many viral similarities due to their classification, they are not genetically related. COVID-19 shares approximately 79 % of its genome with SARS-CoV-1 and about 50 % with MERS-CoV. The shared receptor protein, ACE2 exhibit the most striking genetic similarities between SARS-CoV-1 and SARS-CoV-2. SARS-CoV primarily replicates in the epithelial cells of the respiratory system, but it may also affect macrophages, monocytes, activated T cells, and dendritic cells. MERS-CoV not only infects and replicates inside the epithelial and immune cells, but it may lyse them too, which is one of the common reasons for MERS's higher mortality rate. The details of infections caused by SARS-CoV-2 and lytic replication mechanisms in host cells are currently mysterious. In this review article, we will discuss the comparative highlights of SARS-CoV-1, MERS-CoV, SARS-CoV-2, and Neo-CoV, concerning their structural features, morphological characteristics, sources of virus origin and their evolutionary transitions, infection mechanism, computational study approaches, pathogenesis and their severity towards several diseases, possible therapeutic approaches, and preventive measures.

COVID-19 Rapid Antigen Tests: Bibliometric Analysis of the Scientific Literature.

As the COVID-19 pandemic continues to disrupt health systems worldwide, conducting Rapid Antigen Testing (RAT) at specified intervals has become an essential part of many people's lives around the world. We identified and analyzed the academic literature on COVID-19 RAT. The Web of Science electronic database was queried on 6 July 2022 to find relevant publications. Publication and citation data were retrieved directly from the database. VOSviewer, a bibliometric software, was then used to relate these data to the semantic content from the titles, abstracts, and keywords. The analysis was based on data from 1000 publications. The most productive authors were from Japan and the United States, led by Dr. Koji Nakamura from Japan (n = 10, 1.0%). The most academically productive countries were in the North America, Europe and Asia, led by the United States of America (n = 266, 26.6%). Sensitivity (n = 32, 3.2%) and specificity (n = 23, 2.3%) were among the most frequently recurring author keywords. Regarding sampling methods, "saliva" (n = 54, 5.4%) was mentioned more frequently than "nasal swab" (n = 32, 3.2%) and "nasopharyngeal swab" (n = 22, 2.2%). Recurring scenarios that required RAT were identified: emergency department, healthcare worker, mass screening, airport, traveler, and workplace. Our bibliometric analysis revealed that COVID-19 RAT has been utilized in a range of studies. RAT results were cross-checked with RT-PCR tests for sensitivity and specificity. These results are consistent with comparable exchanges of methods, results or discussions among laboratorians, authors, institutions and publishers in the involved countries of the world.

Twitter-based crowdsourcing: What kind of measures can help to end the COVID-19 pandemic faster?

Background: Crowdsourcing is a low-cost, adaptable, and innovative method to collect ideas from numerous contributors with diverse backgrounds. Crowdsourcing from social media like Twitter can be used for generating ideas in a noticeably brief time based on contributions from globally distributed users. The world has been challenged by the COVID-19 pandemic in the last several years. Measures to combat the pandemic continue to evolve worldwide, and ideas and opinions on optimal counteraction strategies are of high interest. Objective: This study aimed to validate the use of Twitter as a crowdsourcing platform in order to gain an understanding of public opinion on what measures can help to end the COVID-19 pandemic faster. Methods: This cross-sectional study was conducted during the period from December 22, 2021, to February 4, 2022. Tweets were posted by accounts operated by the authors, asking "How to faster end the COVID-19 pandemic?" and encouraging the viewers to comment on measures that they perceive would be effective to achieve this goal. The ideas from the users' comments were collected and categorized into two major themes - personal and institutional measures. In the final stage of the campaign, a Twitter poll was conducted to get additional comments and to estimate which of the two groups of measures were perceived to be important amongst Twitter users. Results: The crowdsourcing campaign generated seventeen suggested measures categorized into two major themes (personal and institutional) that received a total of 1,727 endorsements (supporting comments, retweets, and likes). The poll received a total of 325 votes with 58% of votes underscoring the importance of both personal and institutional measures, 20% favoring personal measures, 11% favoring institutional measures, and 11% of the votes given just out of curiosity to see the vote results. Conclusions: Twitter was utilized successfully for crowdsourcing ideas on strategies how to end the COVID-19 pandemic faster. The results indicate that the Twitter community highly values the significance of both personal responsibility and institutional measures to counteract the pandemic. This study validates the use of Twitter as a primary tool that could be used for crowdsourcing ideas with healthcare significance.

WHEN QUARTAN FEVER RELIEVED DEPRESSION: THE INCEPTION OF PYRETOTHERAPY IN THE GRECO-ROMAN ANTIQUITY.

OBJECTIVE: The aim: This paper explores the documentation of the effect of quartan fever on, the ancient Greek equivalent of conditions falling nowadays under the spectrum of depression, in Greco-Roman medical sources. PATIENTS AND METHODS: Materials and methods: The authors searched original medical texts written in Greek by physicians who lived and practiced Medicine in the broader Mediterranean region from the 5th century BC to the 7th century AD for records related to quartan fever and neuropsychiatric diseases. CONCLUSION: Conclusions: Quartan fever was used as a treatment for neuropsychiatric conditions until the middle of the 20th century. Although malaria can have severe neuropsychiatric sequelae, the neuroimmunological underpinnings of the effect of fever and heat on depression warrant further investigation.

Curbing antimicrobial resistance in post-COVID Africa: Challenges, actions and recommendations.

Background: Antimicrobial self-medication and use have significantly increased in the COVID-19 era-increasing antibiotic consumption and resulting in a high prevalence of antimicrobial resistance in Africa (AMR). We conducted a narrative review to investigate challenges associated with curbing AMR in a post-COVID-19 setting in Africa, suggesting practical measures applicable for policy-informed implementation. Method: A narrative review was performed to pinpoint AMR challenges and actions on the African continent. A comprehensive search was conducted in the scientific databases that include PubMed, PubMed Central and Google Scholar using predetermined search terms. Results: The emergence of the COVID-19 outbreak has added to the challenges of tackling AMR on the continent, which has jeopardized AMR interventions' hard-won gains. Identified challenges have been Health systems disruption, Irrational Antimicrobial Use, Weak Antimicrobials Regulatory Ecosystem, Inefficient Population Infection Prevention, and Control Practices, Inadequate access to Health Services and data challenge on AMR surveillance. Conclusion: The COVID-19 pandemic fueled AMR in Africa. There is a need for AMR control post-COVID, such as measures for ongoing antimicrobial stewardship and good infection control practices. Further, curbing AMR requires rigorous regulatory enforcement and efficient AMR Surveillance. There should be a body to raise AMR awareness among the population. Research, Innovation and Technology could play an essential role supported by capacity building and global partnership.

Investigating the Anticancer Potential of Salvicine as a Modulator of Topoisomerase II and ROS Signaling Cascade.

Salvicine is a new diterpenoid quinone substance from a natural source, specifically in a Chinese herb. It has powerful growth-controlling abilities against a broad range of human cancer cells in both in vitro and in vivo environments. A significant inhibitory effect of salvicine on multidrug-resistant (MDR) cells has also been discovered. Several research studies have examined the activities of salvicine on topoisomerase II (Topo II) by inducing reactive oxygen species (ROS) signaling. As opposed to the well-known Topo II toxin etoposide, salvicine mostly decreases the catalytic activity with a negligible DNA breakage effect, as revealed by several enzymatic experiments. Interestingly, salvicine dramatically reduces lung metastatic formation in the MDA-MB-435 orthotopic lung cancer cell line. Recent investigations have established that salvicine is a new non-intercalative Topo II toxin by interacting with the ATPase domains, increasing DNA-Topo II interaction, and suppressing DNA relegation and ATP hydrolysis. In addition, investigations have revealed that salvicine-induced ROS play a critical role in the anticancer-mediated signaling pathway, involving Topo II suppression, DNA damage, overcoming multidrug resistance, and tumor cell adhesion suppression, among other things. In the current study, we demonstrate the role of salvicine in regulating the ROS signaling pathway and the DNA damage response (DDR) in suppressing the progression of cancer cells. We depict the mechanism of action of salvicine in suppressing the DNA-Topo II complex through ROS induction along with a brief discussion of the anticancer perspective of salvicine.

Seasonal variation and COVID-19 infection pattern: A gap from evidence to reality.

In December 2019, the coronavirus disease (COVID-19) was discovered in China, causing many cases and deaths. Several studies have explored the role of environmental factors in the spread of COVID-19, emphasizing the effect of two weather parameters, humidity and temperature. Those parameters are evidently vital in affecting outbreaks of infectious respiratory diseases, like influenza; yet, such an effect on COVID-19 remains controversial. This review explores the relation between the change in weather-related factors and the transmission of the COVID-19. With seasonal variation from winter to summer and in the absence of adopting thorough public health measures, elevated temperature and humidity might not limit the COVID-19 cases. Hence, we need multidisciplinary strategies and interventions to limit the burden of this pandemic over the healthcare systems.