The epidemiology, diagnosis and treatment of COVID-19

Antibiotic Therapy in the Treatment of COVID-19 Pneumonia: Who and When?

Background: COVID-19 imposes challenges in antibiotic decision-making due to similarities between bacterial pneumonia and moderate to severe COVID-19. We evaluated the effects of antibiotic therapy on the clinical outcomes of COVID-19 pneumonia patients and diagnostic accuracy of key inflammatory markers to inform antibiotic decision-making. Methods: An observational cohort study was conducted in patients hospitalised with COVID-19 at the National Centre for Infectious Diseases and Tan Tock Seng Hospital, Singapore, from January to April 2020. Patients were defined as receiving empiric antibiotic treatment for COVID-19 if started within 3 days of diagnosis. Results: Of 717 patients included, 86 (12.0%) were treated with antibiotics and 26 (3.6%) had documented bacterial infections. Among 278 patients with COVID-19 pneumonia, those treated with antibiotics had more diarrhoea (26, 34.7% vs. 24, 11.8%, p < 0.01), while subsequent admissions to the intensive care unit were not lower (6, 8.0% vs. 10, 4.9% p = 0.384). Antibiotic treatment was not independently associated with lower 30-day (adjusted odds ratio, aOR 19.528, 95% confidence interval, CI 1.039–367.021) or in-hospital mortality (aOR 3.870, 95% CI 0.433–34.625) rates after adjusting for age, co-morbidities and severity of COVID-19 illness. Compared to white cell count and procalcitonin level, the C-reactive protein level had the best diagnostic accuracy for documented bacterial infections (area under the curve, AUC of 0.822). However, the sensitivity and specificity were less than 90%. Conclusion: Empiric antibiotic use in those presenting with COVID-19 pneumonia did not prevent deterioration or mortality. More studies are needed to evaluate strategies to diagnose bacterial co-infections in these patients.

Comparison of COVID-19 laboratory diagnosis by commercial kits: Effectivity of RT-PCR to the RT-LAMP

Coronavirus disease 2019 or COVID-19 caused by novel coronavirus/severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 or 2019-nCoV) is an ongoing pandemic that has emerging global effects and requires rapid and reliable diagnostic testing. Quantitative reverse transcription-polymerase chain reaction (q-RT-PCR) is the gold standard method for SARS-CoV-2 detections. On the other hand, new approaches remedy the diagnosis difficulties gradually. Reverse transcription loop-mediated isothermal amplification (RT-LAMP) as one of these novel approaches may also contribute to faster and cheaper field-based testing. The present study was designed to evaluate this rapid screening diagnostic test that can give results in 30-45 min and to compare the effectiveness of LAMP to the q-RT-PCR. The 30 randomly chosen patient samples were generated by nasopharyngeal swabs with a portion of the SARS-CoV-2 nucleic sequence. The sample of quantification cycle (Cq) values was tested using RT-LAMP as well as by conventional q-RT-PCR. The patient samples were tested with four different kits (SENSObiz COVID-19 [SARS-CoV-2] LAMP Assay, the QIAseq DIRECT SARS-CoV-2 kit, Biospeedy SARS-CoV-2 Variant Plus kit, and CoVirion-CV19-2 SARS-CoV-2 OneStep RT-PCR kit) and two different PCR devices (GDS Rotor-Gene Q Thermocycler and Inovia Technologies GenX series). Based on 30 patient samples, the positive/negative ratio (P/N) was 30/0 as Biospeedy and Covirion (positivity 100%), 28/2 as Qiagen kit (positivity 93.3%) for the samples studied on the Inovia device while the same samples on the Rotor-Gene device were 30/0 as Biospeedy and Covirion (positivity 100%), 29/1 as Qiagen kit at the first day (96.7%). On the fifth day, the samples were studied in the Inovia device and the respective results were obtained: 27/3 as Biospeedy (positivity 90%), 16/14 as Qiagen (positivity 53.3%), 28/2 as Covirion kit (positivity 93.3%). When these samples were studied in the Rotor-Gene device, it was 29/1 in Biospeedy and Covirion (positivity 96.7%), 19/11 in the Qiagen kit (positivity 63.3%). When these samples were compared with the LAMP method it was found to be 19/11 (positivity 63.3%) on the first day and 18/12 (positivity 60%) on the fifth day. SARS-CoV-2 test studies will contribute to a proactive approach to the development of rapid diagnosis systems. The LAMP approach presents promising results to monitor exposed individuals and also improves screening efforts in potential ports of entry.

Multisource Smart Computer-Aided System for Mining COVID-19 Infection Data

In this paper, we approach the problem of detecting and diagnosing COVID-19 infections using multisource scan images including CT and X-ray scans to assist the healthcare system during the COVID-19 pandemic. Here, a computer-aided diagnosis (CAD) system is proposed that utilizes analysis of the CT or X-ray to diagnose the impact of damage in the respiratory system per infected case. The CAD was utilized and optimized by hyper-parameters for shallow learning, e.g., SVM and deep learning. For the deep learning, mini-batch stochastic gradient descent was used to overcome fitting problems during transfer learning. The optimal parameter list values were found using the naïve Bayes technique. Our contributions are (i) a comparison among the detection rates of pre-trained CNN models, (ii) a suggested hybrid deep learning with shallow machine learning, (iii) an extensive analysis of the results of COVID-19 transition and informative conclusions through developing various transfer techniques, and (iv) a comparison of the accuracy of the previous models with the systems of the present study. The effectiveness of the proposed CAD is demonstrated using three datasets, either using an intense learning model as a fully end-to-end solution or using a hybrid deep learning model. Six experiments were designed to illustrate the superior performance of our suggested CAD when compared to other similar approaches. Our system achieves 99.94, 99.6, 100, 97.41, 99.23, and 98.94 accuracy for binary and three-class labels for the CT and two CXR datasets.

Antiviral activity of molnupiravir against COVID-19: a schematic review of evidences

BACKGROUND

The study was aimed at encapsulating the evidence of in vitro and in vivo antiviral activities of molnupiravir and its active form against highly pathogenic SARS-CoV-2, the pathogen responsible for COVID-19, and finding out the efficacy and safety of molnupiravir in clinical trials.

MAIN BODY

Information on publications was explored on several databases, gray literature was reviewed, and the outcomes were discussed narratively. Molnupiravir's antiviral efficacy and associated mechanism of action have been verified in vitro against both non-COVID and multiple coronaviruses. Molnupiravir has been tried in preclinical investigations in numerous animal models against non-coronaviruses. Clinical studies in several countries are now being conducted to evaluate its antiviral efficacy in persons infected with COVID-19. The medication displays antiviral effect via generation of copying mistakes during viral RNA replication.

CONCLUSIONS

Molnupiravir is the first oral antiviral medicine to show considerable and convincing antiviral activity in vitro and in animal models. Molnupiravir stops the spread of SARS-CoV-2 in animals that have been infected and in cells grown in a lab. In a clinical research, early molnupiravir treatment reduced hospitalization and death risk in unvaccinated individuals with COVID-19. In the battle against SARS-CoV-2, it could be a potent weapon. However, its role in COVID-19 in moderate to severe cases is still up in the air, and more research is needed.

COVID-19: Challenges and its Technological Solutions using IoT

COVID-19 is a global pandemic that has affected many countries in a short span of time. People worldwide are susceptible to this deadly disease. To control the prevailing havoc of coronavirus, researchers are adopting techniques like plasma therapy, proning, medicines, etc. To stop the rapid spread of COVID-19, contact tracing is one of the important ways to check the infected people. This paper explains the various challenges people and health practitioners are facing due to COVID-19. In this paper, various ways with which the impact of COVID-19 can be controlled using IoT technology have been discussed. A six-layer architecture of IoT solutions for containing the deadly COVID-19 has been proposed. In addition to this, the role of machine learning techniques for diagnosing COVID-19 has been discussed in this paper, and a quick explanation of the unmanned aerial vehicle (UAVs) applications for contact tracing has also been specified. From the study conducted, it is evident that IoT solutions can be used in various ways for restricting the impact of COVID-19. Furthermore, IoT can be used in the healthcare sector to assure people's safety and good health with minimal costs.

Efficacy of Inhaled Ciclesonide for Outpatient Treatment of Adolescents and Adults With Symptomatic COVID-19: A Randomized Clinical Trial

Importance

Systemic corticosteroids are commonly used in treating severe COVID-19. However, the role of inhaled corticosteroids in the treatment of patients with mild to moderate disease is less clear.

Objective

To determine the efficacy of the inhaled steroid ciclesonide in reducing the time to alleviation of all COVID-19-related symptoms among nonhospitalized participants with symptomatic COVID-19 infection.

Design, Setting, and Participants

This phase 3, multicenter, double-blind, randomized clinical trial was conducted at 10 centers throughout the US and assessed the safety and efficacy of a ciclesonide metered-dose inhaler (MDI) for treating nonhospitalized participants with symptomatic COVID-19 infection who were screened from June 11, 2020, to November 3, 2020.

Interventions

Participants were randomly assigned to receive ciclesonide MDI, 160 μg per actuation, for a total of 2 actuations twice a day (total daily dose, 640 μg) or placebo for 30 days.

Main Outcomes and Measures

The primary end point was time to alleviation of all COVID-19-related symptoms (cough, dyspnea, chills, feeling feverish, repeated shaking with chills, muscle pain, headache, sore throat, and new loss of taste or smell) by day 30. Secondary end points included subsequent emergency department visits or hospital admissions for reasons attributable to COVID-19.

Results

A total of 413 participants were screened and 400 (96.9%) were enrolled and randomized (197 [49.3%] in the ciclesonide arm and 203 [50.7%] in the placebo arm; mean [SD] age, 43.3 [16.9] years; 221 [55.3%] female; 2 [0.5%] Asian, 47 [11.8%] Black or African American, 3 [0.8%] Native Hawaiian or other Pacific Islander, 345 [86.3%] White, and 1 multiracial individuals [0.3%]; 172 Hispanic or Latino individuals [43.0%]). The median time to alleviation of all COVID-19-related symptoms was 19.0 days (95% CI, 14.0-21.0) in the ciclesonide arm and 19.0 days (95% CI, 16.0-23.0) in the placebo arm. There was no difference in resolution of all symptoms by day 30 (odds ratio, 1.28; 95% CI, 0.84-1.97). Participants who were treated with ciclesonide had fewer subsequent emergency department visits or hospital admissions for reasons related to COVID-19 (odds ratio, 0.18; 95% CI, 0.04-0.85). No participants died during the study.

Conclusions and Relevance

The results of this randomized clinical trial demonstrated that ciclesonide did not achieve the primary efficacy end point of reduced time to alleviation of all COVID-19-related symptoms.

Trial Registration

ClinicalTrials.gov Identifier: NCT04377711.

Imidazole derivatives: Impact and prospects in antiviral drug discovery

The COVID-19 pandemic has horrified the human race and every government of the world, not only in the healthcare sector but also in terms of the economy, social disturbances, and large-scale growth of all nations. SARS-CoV-2, responsible for this pandemic, is a single member of a huge family of pathogenic viruses. Previous encounters with these viruses have taught the whole world that they can transform into more resistant and more harmful forms in a very short time. Antiviral medicines with characteristics of excellent potency, less resistance, and low toxicity are still challenging, and obtaining such drugs is a demanding arena in the field of pharmaceutical development. Antiviral medicines contain heterocyclic moieties with diverse substitutions and fusion. Among the potent heterocycles, imidazoles serve as one of the most crucial moieties in the field of drug discovery due to their ability to interact with the active target sites of living systems which provide enormous opportunities to discover new drugs with several modes of action. This chapter gives a systemic representation of design, discovery, and structure–activity relationship studies of the imidazole analogs as antiviral drugs in comparison to standard treatment used in the present-day scenario.

Shedding the light on Pharmacists' roles during COVID-19 global pandemic

INTRODUCTION

(Background)The role of pharmacists revolves around providing the highest levels of care to society and ensuring the provision of medicine to all patients. However, with the spread of coronavirus disease 2019 (COVID -19), pharmacists as a very important part of healthcare professionals' team are responsible for fighting against the disease regardless of their setting of practice. The role of pharmacists will undergo a little change to extend and include other roles in order to ensure the safety of the community and limit the virus spread. Also, they will be required to obtain information from reliable sources, and to be up to date, so they can be reliable advisors to the community and raise their awareness.

OBJECTIVES

The purpose of this review is to highlight community and hospital pharmacists' roles during (COVID-19) global pandemic, and to clearly illustrate how they are contributing to maintain pharmacy services continuity, supporting other healthcare professionals, and facilitating the patient's education.

SUMMARY

Clinical pharmacists provide direct patient care through monitoring adverse drug reactions, ensuring individualized treatment, performing evidence-based practice, and evaluating drugs in clinical trials. On the other hand, community pharmacists which are the most accessible healthcare providers by the community increase their awareness regarding the preventive measures, balance medicines supply and demand, provide drive-thru and home delivery services, offer telehealth counselling, psychological support, refer suspected COVID-19 patients, and provide vaccination when available.

CONCLUSION

Innovative pharmacists' roles have emerged to adapt to changes during COVID-19 pandemic, however, they may be needed in the post COVID-19 world as well.

Clinical features and mechanistic insights into drug repurposing for combating COVID-19

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) emerged from Wuhan in China before it spread to the entire globe. It causes coronavirus disease of 2019 (COVID-19) where mostly individuals present mild symptoms, some remain asymptomatic and some show severe lung inflammation and pneumonia in the host through the induction of a marked inflammatory 'cytokine storm'. New and efficacious vaccines have been developed and put into clinical practice in record time, however, there is a still a need for effective treatments for those who are not vaccinated or remain susceptible to emerging SARS-CoV-2 variant strains. Despite this, effective therapeutic interventions against COVID-19 remain elusive. Here, we have reviewed potential drugs for COVID-19 classified on the basis of their mode of action. The mechanisms of action of each are discussed in detail to highlight the therapeutic targets that may help in reducing the global pandemic. The review was done up to July 2021 and the data was assessed through the official websites of WHO and CDC for collecting the information on the clinical trials. Moreover, the recent research papers were also assessed for the relevant data. The search was mainly based on keywords like Coronavirus, SARS-CoV-2, drugs (specific name of the drugs), COVID-19, clinical efficiency, safety profile, side-effects etc.This review outlines potential areas for future research into COVID-19 treatment strategies.

Explainable Artificial Intelligence for COVID-19 Diagnosis Through Blood Test Variables

This work proposes an explainable artificial intelligence approach to help diagnose COVID-19 patients based on blood test and pathogen variables. Two glass-box models, logistic regression and explainable boosting machine, and two black-box models, random forest and support vector machine, were used to assess the disease diagnosis. Shapley additive explanations were used to explain predictions for the black-box models, while glass-box models feature importance brought insights into the most relevant features. All global explanations show the eosinophils and leukocytes, white blood cells are among the essential features to help diagnose the COVID-19. Moreover, the best model obtained an AUC of 0.87.

Egyptian perspectives on potential risk of paracetamol/acetaminophen-induced toxicities: Lessons learnt during COVID-19 pandemic

Paracetamol/Acetaminophen was widely used as a first-line antipyretic and analgesic for COVID-19 patients without giving any attention to the potential risk of related toxicities. A survey was conducted on 176 Egyptians using an online survey portal to assess their knowledge, and attitude regarding potential risk of paracetamol toxicities and whether COVID-19 pandemic affected their practices regarding safe use of paracetamol. The self-administered questionnaire was developed by the researchers and was validated by expert opinions. A pilot testing of the questionnaire was done. Alpha Cronbach test used to assess the internal consistency reliability of the survey revealed good reliability. Overall percent-score revealed that only 24.4% of participants had good knowledge about paracetamol and its related potential toxicities. 62.5% of participants considered paracetamol safer than other medications of the same indications. 42.6% of participants could advise others to use paracetamol without prescription. According to the participants' responses, physicians were less concerned to give instructions about possibility of overdosage. Our results also revealed that participants’ administration of paracetamol without physician prescription was more during COVID-19. Practice of paracetamol administration more than the allowed number of tablets/day was significantly more evident during the pandemic. We concluded that the unsupervised use of paracetamol is an alarming sign that should be addressed as this could lead to a high rate of accidental paracetamol toxicity. A lesson learnt from COVID-19 pandemic is the need to implement behavior change measures to mitigate the risk of accidental paracetamol toxicity.

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Survey on paracetamol safe usage and its potential toxicities among Egyptians.

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Paracetamol usage among participants of this study was more during COVID-19.

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58% had fair knowledge about paracetamol and its related potential toxicities.

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42.6% could advise others to use paracetamol without prescription.

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There is a need to implement measures to mitigate accidental paracetamol toxicity.

Strategies for the Emergency Treatment of Pregnant Women with Neurological Symptoms during the COVID-19 Pandemic

Coronavirus disease-19 (COVID-19) has been spreading all over the world for more than two years. Though several kinds of vaccines are currently available, emergence of new variants, spike mutations and immune escape have raised new challenges. Pregnant women are vulnerable to respiratory infections due to their altered immune defence and surveillance functions. Besides, whether pregnant persons should receive a COVID-19 vaccine is still under debate because limited data are available on the efficacy and safety of receiving a vaccine during pregnancy. Physiological features and lack of effective protection making pregnant women at high risk of getting infected. Another concern is that pregnancy may trigger the onset of underlying existing neurological disease, which is highly similar to those neurological symptoms of pregnant women caused by COVID-19. These similarities interfere with diagnosis and delay timely and effective management. Therefore, providing efficient emergency support for pregnant women suffering from neurological symptoms caused by COVID-19 remains a challenge among neurologists and obstetricians. To improve the diagnosis and treatment efficiency of pregnant women with neurological symptoms, we propose an emergency management framework based on the clinicians' experience and available resources. This emergency care system aimed at addressing the conundrums faced by the emergency guarantee system under COVID-19 pandemic and could serve as a potential multisystem project for clinical practice and medical education.

Incidence and association of ocular manifestations with the disease severity in COVID-19 patients of northern region of India

PURPOSE:

Our study aims to find the incidence of ocular manifestations and to investigate the relation of ocular manifestations with the disease severity among coronavirus disease 2019 (COVID-19) patients.

MATERIAL AND METHODS:

Our study is a cross-sectional study done between May 15, 2020, and April 15, 2021, at Hind Institute of Medical Sciences, Lucknow, India. All COVID-19 patients who got admitted to our center between May 15, 2020, and April 15, 2021, were included in our study. We included 261 patients in our study. Diagnosis of COVID-19 was made by testing the nasal and pharyngeal swabs by (reverse transcriptase-polymerase chain reaction [RT-PCR]). An RT-PCR test positive was the criteria for admission in the COVID ward. Statistical analyses were performed using the Mann–Whitney U-test, Chi-square test, and Kolmogorov–Smirnov test. P < 0.01 was considered statistically significant.

RESULTS:

We included 261 patients in our study. Out of 261 patients, ocular manifestations were found in 43 (16.4%) patients. The patients with ocular manifestations had higher neutrophil counts, erythrocyte sedimentation rate (ESR), procalcitonin (PCT), C-reactive protein (CRP), and D-dimer values (P < 0.001). Patients with ocular manifestations were relatively more symptomatic concerning fever and myalgia.

CONCLUSION:

The incidence of ocular manifestations in COVID-19 patients was 16.4%. Ocular manifestation was significantly associated with raised neutrophil counts, CRP, ESR, PCT, and D-dimer values. Ocular manifestation was also significantly associated with higher body temperature and higher mean age. The findings of the study are suggestive of more severe disease in patients of COVID-19 with ocular manifestations.

Deep Ensemble Model for COVID-19 Diagnosis and Classification Using Chest CT Images

Coronavirus disease 2019 (COVID-19) has spread worldwide, and medicinal resources have become inadequate in several regions. Computed tomography (CT) scans are capable of achieving precise and rapid COVID-19 diagnosis compared to the RT-PCR test. At the same time, artificial intelligence (AI) techniques, including machine learning (ML) and deep learning (DL), find it useful to design COVID-19 diagnoses using chest CT scans. In this aspect, this study concentrates on the design of an artificial intelligence-based ensemble model for the detection and classification (AIEM-DC) of COVID-19. The AIEM-DC technique aims to accurately detect and classify the COVID-19 using an ensemble of DL models. In addition, Gaussian filtering (GF)-based preprocessing technique is applied for the removal of noise and improve image quality. Moreover, a shark optimization algorithm (SOA) with an ensemble of DL models, namely recurrent neural networks (RNN), long short-term memory (LSTM), and gated recurrent unit (GRU), is employed for feature extraction. Furthermore, an improved bat algorithm with a multiclass support vector machine (IBA-MSVM) model is applied for the classification of CT scans. The design of the ensemble model with optimal parameter tuning of the MSVM model for COVID-19 classification shows the novelty of the work. The effectiveness of the AIEM-DC technique take place on benchmark CT image data set, and the results reported the promising classification performance of the AIEM-DC technique over the recent state-of-the-art approaches.

Exploring the Potential Targets and Mechanisms of Huang Lian Jie Du Decoction in the Treatment of Coronavirus Disease 2019 Based on Network Pharmacology

Background

In December 2019, coronavirus disease 2019 (COVID-19) caused by a novel coronavirus (severe acute respiratory syndrome coronavirus 2, SARS-CoV-2; previously known as 2019-nCoV) emerged in Wuhan, China, and caused many infections and deaths. At present, there are no specific drugs for the etiology and treatment of COVID-19. A combination of traditional Chinese and western medicine is proposed to treat COVID-19, in which Huang Lian Jie Du decoction (HLJDD) is recommended for the treatment of COVID-19 in many provinces in China and has been widely used in the clinic. This study explored the potential targets of HLJDD in the treatment of COVID-19 based on network pharmacology.

Methods

First, the chemical composition and targets of HLJDD and COVID-19-related targets were obtained through the TCMSP, UniProt, GeneCards and OMIM databases. Second, HLJDD target and HLJDD-COVID-19 target networks were constructed via the STRING database and Cytoscape software. Finally, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of the HLJDD-COVID-19 targets was applied via the DAVID database.

Results

Our study identified a total of 67 active ingredients of HLJDD and 204 targets of HLJDD. A total of 502 COVID-19-related targets were obtained, of which 47 were intersecting targets of HLJDD and COVID-19. A total of 179 GO terms and 77 KEGG terms, including the TNF signaling pathway, NF-κB signaling pathway and HIF-1 signaling pathway, were identified.

Conclusion

The present study explored the potential targets and signaling pathways of HLJDD during the treatment of COVID-19, which may provide a basis for the research and development of drugs for the treatment of COVID-19.

Analysis of COVID-19 pandemic impact on the presenting complaints of the emergency department visits

The impact of coronavirus disease 2019 (COVID-19) on economic and medical systems is significant, especially in the emergency department (ED). The patterns of ED visits have also changed significantly and may play a crucial role in rearranging medical resources to the most needed departments during the pandemic.This was a retrospective study conducted in hospitals of the Cathay Health System. All patients presented to the EDs between January 21, 2020 to April 30, 2020 (pandemic stage) and January 21, 2019 to April 30, 2019 (before the pandemic stage). Basic demographics, including visit characteristics, disposition, and chief complaints, of the patients visiting the ED between these 2 periods of time will be compared and analyzed.A total of 71,739 patients were included in the study. A reduction in ED visits was noted in 15.1% (32,950 ED visits) during the pandemic stage. ED visiting patients with the chief complaints of upper respiratory infection and social problems increased by 14.23% and 1.86%, respectively, during the pandemic period. Critical chief complaints such as cardiac arrest, chest pain and altered mental status decreased to less than the ED visits difference (-15.1%) between the pandemic and prepandemic stages, for 0%, -7.67%, and -13.8% respectively.Rearrangement of the ED pediatric staff to the COVID-19 special units and recruiting more social workers to the ED should be performed to respond to the COVID-19 pandemic.

Human Body Performance with COVID-19 Affectation According to Virus Specification Based on Biosensor Techniques

Life was once normal before the first announcement of COVID-19's first case in Wuhan, China, and what was slowly spreading became an overnight worldwide pandemic. Ever since the virus spread at the end of 2019, it has been morphing and rapidly adapting to human nature changes which cause difficult conundrums in the efforts of fighting it. Thus, researchers were steered to investigate the virus in order to contain the outbreak considering its novelty and there being no known cure. In contribution to that, this paper extensively reviewed, compared, and analyzed two main points; SARS-CoV-2 virus transmission in humans and detection methods of COVID-19 in the human body. SARS-CoV-2 human exchange transmission methods reviewed four modes of transmission which are Respiratory Transmission, Fecal-Oral Transmission, Ocular transmission, and Vertical Transmission. The latter point particularly sheds light on the latest discoveries and advancements in the aim of COVID-19 diagnosis and detection of SARS-CoV-2 virus associated with this disease in the human body. The methods in this review paper were classified into two categories which are RNA-based detection including RT-PCR, LAMP, CRISPR, and NGS and secondly, biosensors detection including, electrochemical biosensors, electronic biosensors, piezoelectric biosensors, and optical biosensors.

Dyspnea and COVID-19: A Review of Confounding Diagnoses during the Postpartum Period

The puerperium is a complex period that begins with placental delivery and lasts for 6 weeks, during which readaptation of the female organism and redistribution of blood volume occur. This period is conducive to the occurrence of thromboembolic events. In the context of the SARS-CoV-2 pandemic, the virus responsible for COVID-19, the attention of the scientific community and health professionals has been focused on obtaining insights on different aspects of this disease, including etiology, transmission, diagnosis, and treatment. Regarding the pregnancy-postpartum cycle, it is opportune to review the clinical conditions that can occur during this period and to investigate dyspnea as a postpartum symptom in order to avoid its immediate association with COVID-19 without further investigation, which can lead to overlooking the diagnosis of other important and occasionally fatal conditions.

Viral Endothelial Dysfunction: A Unifying Mechanism for COVID-19

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a highly transmissible virus with significant global impact, morbidity, and mortality. The SARS-CoV-2 virus may result in widespread organ manifestations including acute respiratory distress syndrome, acute renal failure, thromboembolism, and myocarditis. Virus-induced endothelial injury may cause endothelial activation, increased permeability, inflammation, and immune response and cytokine storm. Endothelial dysfunction is a systemic disorder that is a precursor of atherosclerotic vascular disease that is associated with cardiovascular risk factors and is highly prevalent in patients with atherosclerotic cardiovascular and peripheral disease. Several studies have associated various viral infections including SARS-CoV-2 infection with inflammation, endothelial dysfunction, and subsequent innate immune response and cytokine storm. Noninvasive monitoring of endothelial function and identification of high-risk patients who may require specific therapies may have the potential to improve morbidity and mortality associated with subsequent inflammation, cytokine storm, and multiorgan involvement.

Virtual screening of functional foods and dissecting their roles in modulating gene functions to support post COVID-19 complications

COVID-19 has become the focal point since 2019 after the outbreak of coronavirus disease. Many drugs are being tested and used to treat coronavirus infections; different kinds of vaccines are also introduced as preventive measure. Alternative therapeutics are as well incorporated into the health guidelines of some countries. This research aimed to look into the underlying mechanisms of functional foods and how they may improve the long-term post COVID-19 cardiovascular, diabetic, and respiratory complications through their bioactive compounds. The potentiality of nine functional foods for post COVID-19 complications was investigated through computational approaches. A total of 266 bioactive compounds of these foods were searched via extensive literature reviewing. Three highly associated targets namely troponin I interacting kinase (TNNI3K), dipeptidyl peptidase 4 (DPP-4), and transforming growth factor beta 1 (TGF-β1) were selected for cardiovascular, diabetes, and respiratory disorders, respectively, after COVID-19 infections. Best docked compounds were further analyzed by network pharmacological tools to explore their interactions with complication-related genes (MAPK1 and HSP90AA1 for cardiovascular, PPARG and TNF-alpha for diabetes, and AKT-1 for respiratory disorders). Seventy-one suggested compounds out of one-hundred and thirty-nine (139) docked compounds in network pharmacology recommended 169 Gene Ontology (GO) items and 99 Kyoto Encyclopedia of Genes and Genomes signaling pathways preferably AKT signaling pathway, MAPK signaling pathway, ACE2 receptor signaling pathway, insulin signaling pathway, and PPAR signaling pathway. Among the chosen functional foods, black cumin, fenugreek, garlic, ginger, turmeric, bitter melon, and Indian pennywort were found to modulate the actions. Results demonstrate that aforesaid functional foods have attenuating roles to manage post COVID-19 complications. PRACTICAL APPLICATIONS: Functional foods have been approaching a greater interest due to their medicinal uses other than gastronomic pleasure. Nine functional food resources have been used in this research for their traditional and ethnopharmacological uses, but their directive-role in modulating the genes involved in the management of post COVID-19 complications is inadequately studied and reported. Therefore, the foods types used in this research may be prioritized to be used as functional foods for ameliorating the major post COVID-19 complications through appropriate science.

Potential Roles of Modified Pectin Targeting Galectin-3 against Severe Acute Respiratory Syndrome Coronavirus-2

Modified pectin (MP) is a bioactive complex polysaccharide that is broken down into smaller fragments of units and used as an oral dietary supplement for cell proliferation. MP is safe and non-toxic with promising therapeutic properties with regard to targeting galectin-3 (GAL-3) toward the prevention and inhibition of viral infections through the modulation of the immune response and anti-inflammatory cytokine effects. This effect of MP as a GAL-3 antagonism, which has shown benefits in preclinical and clinical models, may be of relevance to the progression of the novel severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) in coronavirus disease 2019 patients. The outbreak of emerging infectious diseases continues to pose a threat to human health. Further to the circulation of multiple variants of SARS-CoV-2, an effective and alternative therapeutic approach to combat it has become pertinent. The use of MP as a GAL-3 inhibitor could serve as an antiviral agent blocking against the SARS-CoV-2-binding spike protein. This review highlights the potential effects of MP in viral infections, its proposed role as a GAL-3 inhibitor, and the associated function concerning a SARS-CoV-2 infection.

Sanitary Aspects of Countering the Spread of COVID-19 in Russia

Due to the conditions that cause the spread of COVID-19, national health systems worldwide are under severe strain. Most countries face similar difficulties such as a lack of medical personnel and equipment and tools for diagnosis and treatment, overrun hospitals, and forced restriction of planned medical care. Public authorities in healthcare take the following measures due to increased pressure: limiting the transmission and spread of the virus (social distancing and quarantine), mobilizing medical personnel, ensuring the availability of diagnostic and treatment tools, and providing a sufficient number of premises, which are not always suitable for the provision of medical care (buildings and structures). To date, the stages of management decision-making to counter coronavirus infection and the risk of COVID-19 transmission at various facilities have not been analyzed. The authors propose a methodology for assessing the COVID-19 transmission risk at various social and transport facilities. A survey of 1325 respondents from Moscow demonstrated the most significant risk factors, such as visitation avoidance, infection risk, and facemask wearing. Risk categories were determined and objects classified according to high, medium, and low-risk levels.

Unfolding the Mild to Moderate Short-Term Side Effects of Four COVID-19 Vaccines Used in Bahrain: A Cross-Sectional Study

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) created a global pandemic (COVID-19) that has resulted in massive health and economic losses. The current unavailability of treatments leaves vaccination as the only way to control this disease. There are four vaccines (Sinopharm, Pfizer—BioNTech, Sputnik, and AstraZeneca) available in Bahrain. This project aimed to study the most common side effects resulting from the first and second doses of these four vaccines. Data were collected through an online questionnaire answered by 311 individuals who received both doses of one of these four vaccines. The results of this study revealed that regardless of the vaccine identity, participants experienced more side effects from the second dose. Among the different side effects, pain at the site of injection was primarily observed after the first dose of the Pfizer vaccine (43%), which was followed by the AstraZeneca vaccine (31%). Moreover, fever was observed in participants after the first dose of the Sputnik vaccine (37%), while headache was mainly observed after the first dose of the Pfizer vaccine (32%). It is important to note that fatigue was observed after the first dose of all four vaccines but was reported by the highest proportion of respondents in the Pfizer group (28%). Interestingly, there are some side effects, such as pain at the site of injection, that are correlated with fever (r = 0.909). Similarly, headache is correlated with fever (r = 0.801) and pain at the site of injection (r = 0.868). Overall, it was observed that recipients of the Sinopharm vaccine reported the mildest side effects among all four vaccines. The crucial finding of this study is that the first and second dosage post-vaccination side effects were modest and predictable with no occurrences of hospitalization; this information can assist in lessening vaccine apprehension.

Peptide-Based Vaccines for Neurodegenerative Diseases: Recent Endeavors and Future Perspectives

The development of peptide-based vaccines for treating human neurodegenerative diseases has been the eventual aim of many research endeavors, although no active immunotherapies have been approved for clinical use till now. A typical example of such endeavors is the effort to develop vaccines for Alzheimer’s disease based on the beta-amyloid peptide, which continues to be intensively investigated despite previous setbacks. In this paper, recent developments in peptide-based vaccines which target beta-amyloid as well as tau protein and α-synuclein are presented. Particular focus has been directed toward peptide epitopes and formulation systems selected/developed and employed to enhance vaccine efficacy and safety. Results from both, human clinical trials and animal preclinical studies conducted mainly in transgenic mice have been included. Future perspectives on the topic are also briefly discussed.

Positive aspects, negative aspects and challenges associated with stem cell therapy for COVID - 19: A Mini-Review

Like any other pandemic, the Covid-19 scenario has also demanded effective treatment options. The circumstances demand to utilize all the possible weapons in the armamentarium. There have been many issues regarding the short-term and long-term safety and efficacy of these options. Some options are like uncharted seas and these need a detailed and critical review with respect to safety, efficacy, feasibility and financial constraints. Mesenchymal stem cells (MSCs) therapy has been studied for many years for its potential role in diseases with complex pathogenesis. Its efficacy in controlling cytokine imbalance and immuno-modulatory properties is well proven. These effects are being extensively studied for potential extension of the benefits for an effective option for management of COVID-19 patients with severe respiratory involvement. In this mini-review, an attempt has been made to review positive aspects, negative aspects, and challenges influencing MSCs therapy in the management of COVID-19 disease. The results of various studies and literature reviews show that MSCs therapy can be considered as one of the potential options.

The impact of coronavirus pandemic (COVID-19) on education: The role of virtual and remote laboratories in education

To avoid the spread of the COVID-19 crisis, many countries worldwide have temporarily shut down their academic organizations. National and international closures affect over 91% of the education community of the world. E-learning is the only effective manner for educational institutions to coordinate the learning process during the global lockdown and quarantine period. Many educational institutions have instructed their students through remote learning technologies to face the effect of local closures and promote the continuity of the education process. This study examines the expected benefits of e-learning during the COVID-19 pandemic by providing a new model to investigate this issue using a survey collected from the students at Imam Abdulrahman Bin Faisal University. Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed on 179 useable responses. This study applied Push-Pull-Mooring theory and examined how push, pull, and mooring variables impact learners to switch to virtual and remote educational laboratories. The Protection Motivation theory was employed to explain how the potential health risk and environmental threat can influence the expected benefits from e-learning services. The findings revealed that the push factor (environmental threat) is significantly related to perceived benefits. The pull factors (e-learning motivation, perceived information sharing, and social distancing) significantly impact learners' benefits. The mooring factor, namely perceived security, significantly impacts learners' benefits.

Diagnosis of COVID-19, vitality of emerging technologies and preventive measures

Coronavirus diseases-2019 (COVID-19) is becoming increasing serious and major threat to public health concerns. As a matter of fact, timely testing enhances the life-saving judgments on treatment and isolation of COVID-19 infected individuals at possible earliest stage which ultimately suppresses spread of infectious diseases. Many government and private research institutes and manufacturing companies are striving to develop reliable tests for prompt quantification of SARS-CoV-2. In this review, we summarize existing diagnostic methods as manual laboratory-based nucleic acid assays for COVID-19 and their limitations. Moreover, vitality of rapid and point of care serological tests together with emerging biosensing technologies has been discussed in details. Point of care tests with characteristics of rapidity, accurateness, portability, low cost and requiring non-specific devices possess great suitability in COVID-19 diagnosis and detection. Besides, this review also sheds light on several preventive measures to track and manage disease spread in current and future outbreaks of diseases.

Review on oxidative stress relation on COVID-19: Biomolecular and bioanalytical approach

COVID-19 disease has put life of people in stress worldwide from many aspects. Since the virus has mutated in absolutely short period of time the challenge to find a suitable vaccine has become harder. Infection to COVID-19, especially at severe life threatening states is highly dependent on the strength of the host immune system. This system is partially dependent on the balance between oxidative stress and antioxidant. Besides, this virus still has unknown mechanism of action companied by a probable commune period. From another hand, some reactive oxygen species (ROS) levels can be helpful on the state determination of the disease. Thus it could be possible to use modern bioanalytical techniques for their detection and determination, which could indicate the disease state at the golden time window since they have the potential to show whether specific DNA, RNA, enzymes and proteins are affected. This also could be used as a preclude study or a reliable pathway to define the best optimized time of cure beside effective medical actions. Herein, some ROS and their relation with SARS-CoV-2 virus have been considered. In addition, modern bioelectroanalytical techniques on this approach from quantitative and qualitative points of view have been reviewed.

The evaluation of potential global impact of the N501Y mutation in SARS-COV-2 positive patients

Rapid and reliable detection of severe acute respiratory syndrome coronavirus 2 mutations are significant to control the contagion and spread rate of the virus. We aimed to evaluate the N501Y mutation rate in randomly chosen positive patients with the polymerase chain reaction (PCR). The evaluation and analysis of the data with a retrospective approach in cases with mutations, in terms of public health, will contribute to the literature on the global pandemic that affects our society. Public health authorities will take the necessary precautions and evaluate the current situation. The N501Y mutation was detected in patients with positive Covid‐19 PCR test results. The positive samples were examined based on the 6‐carboxy‐fluorescein (FAM) channel in reverse transcription PCR (RT‐PCR) quantitation cycle (Cq) values as low Cq (<25), medium Cq (25–32), and high Cq (32–38) groups. In the study, 2757 (19.7%) of 13 972 cases were detected as mutation suspects and 159 (5.8%) of them were found to have mutations. The ages of the cases with mutations ranged from 1 to 88 years (mean age of 40.99 ± 17.55). 49.7% (n = 79) of the cases with mutations were male, and 50.3% (n = 80) were female. When the RT‐PCR‐Cq results were examined, it was seen that it varied between 11.3 and 35.03, with an average of 20.75 ± 3.32.

Extended Epidemiological Models for Weak Economic Region: Case Studies of the Spreading of COVID-19 in the South Asian Subcontinental Countries

The ascendancy of coronavirus has become widespread all around the world. For the prevention of viral transmission, the pattern of disease is explored. Epidemiological modeling is a vital component of the research. These models assist in studying various aspects of infectious diseases, such as death, recovery, and infection rates. Coronavirus trends across several countries may analyze sufficiently using SIR, SEIR, and SIQR models. Across this study, we propose two modified versions of the SEIRD method for evaluating the transmission of this infectious disease in the South Asian countries, more precisely, in the south Asian subcontinent. The SEIRD model is updated further by fusing some new factors, namely, isolation for the suspected people and recovery and death of the people who are not under the coverage of healthcare schemes or reluctant to receive treatment for various catastrophes. We will investigate the influences of those ingredients on public health-related issues. Finally, we will predict and display the infection scenario and relevant elements with the concluding remarks through the statistical analysis.

Keeping Meta-Analyses Hygienic During the COVID-19 Pandemic

Despite the massive distribution of different vaccines globally, the current pandemic has revealed the crucial need for an efficient treatment against COVID-19. Meta-analyses have historically been extremely useful to determine treatment efficacy but recent debates about the use of hydroxychloroquine for COVID-19 patients resulted in contradictory meta-analytical results. Different factors during the COVID-19 pandemic have impacted key features of conducting a good meta-analysis. Some meta-analyses did not evaluate or treat substantial heterogeneity (I² > 75%); others did not include additional analysis for publication bias; none checked for evidence of p–hacking in the primary studies nor used recent methods (i.e., p-curve or p-uniform) to estimate the average population-size effect. These inconsistencies may contribute to contradictory results in the research evaluating COVID-19 treatments. A prominent example of this is the use of hydroxychloroquine, where some studies reported a large positive effect, whereas others indicated no significant effect or even increased mortality when hydroxychloroquine was used with the antibiotic azithromycin. In this paper, we first recall the benefits and fundamental steps of good quality meta-analysis. Then, we examine various meta-analyses on hydroxychloroquine treatments for COVID-19 patients that led to contradictory results and causes for this discrepancy. We then highlight recent tools that contribute to evaluate publication bias and p-hacking (i.e., p-curve, p-uniform) and conclude by making technical recommendations that meta-analyses should follow even during extreme global events such as a pandemic.

Ghana beyond the epi-curve: initial lessons learned from the implementation of infection prevention and control measures in the COVID-19 response

Infection prevention and control (IPC) measures remain crucial to breaking transmission of the virus in the wake of inconclusive efforts underway to find an effective vaccine and treatment. While acknowledging that many lessons evolve as the pandemic unfolds, an initial understanding and recognition of the complexities that surround IPC policy implementation and adherence is vital for effective control of on-going pandemic in particular and to inform national IPC policies beyond the epi-curve. This short communication therefore seeks to unravel initial thoughts, themes and concepts that have unfolded in the implementation of IPC policies and guidelines in the context of the ongoing outbreak response in Ghana. A rapid desk review was done. Reflexive journals, field notes, observations and workshop experiences were compiled and overlapped with authors' experience as a member of the COVID-19 national response team for Infection Prevention and Control (IPC). Thematic content analysis was then used to categorize the lessons into common themes. While aligning with global strategies, the concept of 'looking within' for initial solutions and strengths have proven useful for a public health emergency response in Ghana. Future IPC policies must inculcate perspectives from the politics and economics of IPC practices and employ varieties of multidisciplinary approaches required to broaden the scope of IPC practice.

Multidisciplinary Effort and Integrative Preparedness: A Lesson for the Foreseen Multivariate COVID-19 Pandemic Flare-Up

It has been a year and a half since the world suffered the horrific COVID-19 pandemic which has still continued becoming a prominent headache for the whole world. Recently, we are facing the second and third wave of multivariate outbreaks with great intensity of transmission which renders huge disaster. Presently, new strains of the virus are emerging that are predicted to be resistant for the current vaccines and other management approaches. It needs collaborative and coordinated role at professional, facility, regional, and global levels to ameliorate the pandemic by monitoring the existing and emerging variants. This review addressed the multidisciplinary roles in patient screening and detection, emergency management, moderate and critical care, vaccination, complication prevention, comorbidity management, psychological therapy, and digital health care. The inevitable roles of academicians, researchers, private health sectors, policy makers, regulatory bodies, and partners are also discussed.

Latent class analysis of depression and anxiety among medical students during COVID-19 epidemic

OBJECTIVE

The novel coronavirus disease 2019 (COVID-19) is a global public health emergency that has caused worldwide concern. The mental health of medical students under the COVID-19 epidemic has attracted much attention. This study aims to identify subgroups of medical students based on depression and anxiety and explore the influencing factors during the COVID-19 epidemic in China.

METHODS

A total of 29,663 medical students were recruited during the epidemic of COVID-19 in China. Depression and anxiety symptoms were assessed using Patient Health Questionnaire 9 (PHQ9) and Generalized Anxiety Disorder 7 (GAD7) respectively. Latent class analysis was performed based on depression and anxiety symptoms in medical students. The latent class subtypes were compared using the chi-square test. Multinomial logistic regression was used to examine associations between identified classes and related factors.

RESULTS

In this study, three distinct subgroups were identified, namely, the poor mental health group, the mild mental health group and the low symptoms group. The number of medical students in each class is 4325, 9321 and 16,017 respectively. The multinomial logistic regression results showed that compared with the low symptoms group, the factors influencing depression and anxiety in the poor mental health group and mild mental health group were sex, educational level, drinking, individual psychiatric disorders, family psychiatric disorders, knowledge of COVID-19, fear of being infected, and participate in mental health education on COVID-19.

CONCLUSIONS

Our findings suggested that latent class analysis can be used to categorize different medical students according to their depression and anxiety symptoms during the outbreak of COVID-19. The main factors influencing the poor mental health group and the mild mental health group are basic demographic characteristics, disease history, COVID-19 related factors and behavioural lifestyle. School administrative departments can carry out targeted psychological counseling according to different subgroups to promote the physical and mental health of medical students.

Intelligent health system for the investigation of consenting COVID-19 patients and precision medicine

Advancing frontiers of clinical research, we discuss the need for intelligent health systems to support a deeper investigation of COVID-19. We hypothesize that the convergence of the healthcare data and staggering developments in artificial intelligence have the potential to elevate the recovery process with diagnostic and predictive analysis to identify major causes of mortality, modifiable risk factors and actionable information that supports the early detection and prevention of COVID-19. However, current constraints include the recruitment of COVID-19 patients for research; translational integration of electronic health records and diversified public datasets; and the development of artificial intelligence systems for data-intensive computational modeling to assist clinical decision making. We propose a novel nexus of machine learning algorithms to examine COVID-19 data granularity from population studies to subgroups stratification and ensure best modeling strategies within the data continuum.

An updated review on potential therapeutic drug candidates, vaccines and an insight on patents filed for COVID-19

The outbreak of COVID-19 was recognized in December 2019 in China and as of October5th, the pandemic was swept through 216 countries and infected around 34,824,108 individuals, thus posing an unprecedented threat to world's health and economy. Several researchers reported that, a significant mutation in membrane proteins and receptor binding sites of preceding severe acute respiratory syndrome coronavirus (SARS-CoV) to turned as novel SARS-CoV-2 virus and disease was named as COVID-19 (Coronavirus disease 2019). Unfortunately, there is no specific treatment available for COVID-19 patients. The lessons learned from the past management of SARS-CoV and other pandemics, have provided some insights to treat COVID-19. Currently, therapies like anti-viral treatment, immunomodulatory agents, plasma transfusion and supportive intervention etc., are using to treat the COVID-19. Few of these were proven to provide significant therapeutic benefits in treating the COVID-19, however no drug is approved by the regulatory agencies. As the fatality rate is high in patients with comorbid conditions, we have also enlightened the current in-line treatment therapies and specific treatment strategies in comorbid conditions to combat the emergence of COVID-19. In addition, pharmaceutical, biological companies and research institutions across the globe have begun to develop thesafe and effective vaccine for COVID-19. Globally around 170 teams of researchers are racing to develop the COVID-19 vaccine and here we have discussed about their current status of development. Furthermore, recent patents filed in association with COVID-19 was elaborated. This can help many individuals, researchers or health workers, in applying these principles for diagnosis/prevention/management/treatment of the current pandemic.

Health Disparities of Coronavirus Disease 2019 in Texas, March-July 2020

OBJECTIVES

Although disparities in coronavirus disease 2019 (COVID-19) prevalence are known, knowledge of the recent surge of COVID-19 in Texas and factors affecting fatality rates is limited. Understanding the health disparities associated with COVID-19 can help healthcare professionals determine the populations that are most in need of COVID-19 preventive care and treatment. The aim of this study was to assess COVID-19-related case and mortality rates.

METHODS

Our cross-sectional analysis used Texas Department of State Health Services COVID-19 case surveillance counts. Case, hospitalization, and mortality counts were obtained from March to July 2020.

RESULTS

From March to July 2020, there were 420,397 COVID-19-related cases and 6954 deaths in Texas. There were 3277 new cases and 104 deaths in March, and 261,876 new cases and 3660 deaths in July. The number of new COVID-19 cases was the highest from March to April (relative risk 1.77, 95% confidence interval [CI] 1.76-1.78). Although the death rate in June was a 30% increase over the rate in May, death rates nearly tripled by the end of July, for a total of 3660 deaths. Of the 3958 deaths, demographic data were available for 753 deaths. Of these, 440 were male, 16 Asian, 95 Black, 221 Hispanic, 325 White, and 96 were "Other" or "Unknown." Males were associated with a slightly higher chance of acquiring COVID-19 than females (odds ratio [OR] 1.11, 95% CI 1.09-1.14) and nearly a 29% higher chance of dying of COVID-19 compared with females (OR 1.29, 95% CI 1.11-1.49). Bivariate analysis revealed that the probability of acquiring COVID-19 was 12% higher in older adults compared with individuals younger than 65 years old (OR 1.12, 95% CI 1.08-1.16), and older adults had an 18.8 times higher risk of death when compared with the rate of younger individuals (OR 18.79, 95% CI 15.93-22.15). Hispanics and Blacks were 70% and 48%, respectively, more likely to contract COVID-19 than Whites. All races had lower significant chance of death when compared with Whites. At the end of July, there was a total of 430,485 Texas COVID-19 cases and 6387 fatalities (8.8% of all cases and 4% of all deaths in the United States.). Case fatality ratios were the highest in older adults. As we continued to observe data, in contrast to previous study time points, we found that Asians and Hispanics had no significant difference in COVID mortality rates and were comparable in terms of mortality odds and death case ratios when compared with Whites.

CONCLUSIONS

This time period represents the highest COVID-19 surge time in Texas. Although our data consist of a short time period of population-level data in an ongoing pandemic and are limited by information reported to the Texas Department of State Health Services, older age, male sex, Hispanics, and Blacks are currently associated with higher infection rates, whereas older age, male sex, and Whites are associated with higher mortality rates. Clinicians and decision makers should be aware of the COVID-19 health disparities and risk factors for mortality to better promote targeted interventions and allocate resources accordingly.

Biology of COVID-19 and related viruses: Epidemiology, signs, symptoms, diagnosis, and treatment

Coronaviruses belong to the family Coronaviridae order Nidovirales and are known causes of respiratory and intestinal disease in various mammalian and avian species. Species of coronaviruses known to infect humans are referred to as human coronaviruses (HCoVs). While traditionally, HCoVs have been a significant cause of the common cold, more recently, emergent viruses, including severe acute respiratory syndrome coronavirus (SARS-CoV-2) has caused a global pandemic. Here, we discuss coronavirus disease (COVID-19) biology, pathology, epidemiology, signs and symptoms, diagnosis, treatment, and recent clinical trials involving promising treatments.

Síndrome inflamatorio multisistémico en niños con COVID-19: una visión desde la reumatología

La enfermedad por coronavirus 2019 (COVID-19), producida por el SARS-CoV-2, ha tomado una gran importancia en los últimos meses y se encuentra bajo constante investigación por distintas áreas de la medicina, incluida la reumatología, en la búsqueda de la mejor evidencia científica. En el caso de la población pediátrica cobra especial importancia puesto que en un principio se pensaba que el impacto de la pandemia en esta población sería menor, debido a la baja presencia de casos severos, pero la evidencia actual reporta la existencia de cuadros clínicos en niños con diagnóstico de COVID-19 que se caracterizan por un estado inflamatorio alterado consistente en una tormenta de citocinas proinflamatorias que produce manifestaciones similares a las presentadas en enfermedades autoinmunes como la enfermedad de Kawasaki. Se le ha denominado síndrome inflamatorio multisistémico en niños asociado temporalmente con SARS-CoV-2, el cual en muchos casos precisa internación en unidades de cuidados intensivos pediátricos y el manejo multidisciplinario por diversas especialidades.

Global Scientific Research on SARS-CoV-2 Vaccines: A Bibliometric Analysis

Objective

We performed this bibliometric analysis to identify global scientific research on the SARS-CoV-2 vaccines.

Materials and Methods

This bibliometric analysis study inclusive search of English-language publications related to the SARS-CoV-2 vaccines was conducted in the Scopus, PubMed, and Dimensions databases without year limitations. The results of bibliometric analysis comprised a time-dependent citation density trend, the name of the journal, journal impact factor (IF), year of publication, type of article, category, subscription or affiliation, co-authorship, and co- occurrence network.

Results

A study of the scientific literature from three databases (Scopus, PubMed, Dimensions) shows that investigators have focused more on studying the structure of the coronavirus at different levels (organismic, cellular, and molecular). In addition, the method of virus penetration into the cell and features of the influence of coronavirus on animals are well-studied. Various methods and strategies are being used to develop the vaccines, including both animal-tested methods and computer models. The Dimensions database is the most representative in terms of coverage of research on development of the SARS-CoV-2 vaccines.

Conclusion

This research is a scientific investigation based on bibliometric analysis of papers related to the SARS-CoV-2 vaccines. The Dimensions database provides the most representative research coverage on the creation of a vaccine against coronavirus. It is characterized by a large number of formed verbose terms (length of more than four words) related to coronavirus, which makes it possible to track trends in the development of methods for creating a vaccine.

Cell death mechanisms involved in cell injury caused by SARS-CoV-2

Coronavirus disease 2019 (Covid‐19) is an emerging novel respiratory infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) that rapidly spread worldwide. In addition to lung injury, Covid‐19 patients may develop extrapulmonary symptoms, including cardiac, liver, kidney, digestive tract, and neurological injuries. Angiotensin converting enzyme 2 is the major receptor for the entry of SARS‐CoV‐2 into host cells. The specific mechanisms that lead to cell death in different tissues during infection by SARS‐CoV‐2 remains unknown. Based on data of the previous human coronavirus SARS‐CoV together with information about SARS‐CoV‐2, this review provides a summary of the mechanisms involved in cell death, including apoptosis, autophagy, and necrosis, provoked by severe acute respiratory syndrome coronavirus.

A Meta-Analysis of Treatment Effects on Viral Pneumonia Using TCM Injections Specified in the Clinical Guideline for COVID-19 in China

Objectives

The purpose of this study is to analyze the efficacy of traditional Chinese medicine (TCM) injections specified in the clinical guideline for COVID-19 by conducting a meta-analysis of viral pneumonia data.

Methods

TCM injections data on viral pneumonia were collected until July 31, 2021. CNKI, PubMed, EMBASE, and the Cochrane electronic database were used to collect the clinical data. "COVID-19," "Viral pneumonia," "Tanreqing," "Xiyanping," "Reduning," "Xingnaojing," "Xuebijing," "Shenmai," "Shengmai," and "Shenfu" were used as keywords. All data collected were mainly about TCM injections and viral pneumonia. Furthermore, studies that included results such as the total effective rate, cough disappearance time, antipyretic time, lung rhomboid disappearance time, and adverse drug reaction were collected for the meta-analysis to identify the efficacy of TCM injections. However, data unrelated to TCM injections specified in the clinical guidelines for COVID-19 or viral pneumonia were excluded. The quality of included RCTs was assessed by the Cochrane Risk of Bias Tool, and Review Manager 5.3 software was used to conduct the meta-analysis.

Results

A total of 18 studies with 1540 patients were included in this study. The results of the meta-analysis showed that the total effective rate OR = 4.61 (95% CI 2.92, 7.25, p = 1.00/ I² = 0%); the cough disappearance time SMD -1.23 (-1.37, -1.09, p < 0.00001/ I² = 94%); the antipyretic time SMD -1.26 (-1.40, -1.11, p < 0.00001/ I²=94%); lung rhomboid disappearance time SMD -1.17 (-1.33, -1.02, p < 0.00001/ I² = 89%); and adverse drug reaction was OR 0.36 (95% CI 0.20, 0.64, p = 0.21/ I² = 30%). From the results, the treatment group (TCM injection) showed better efficacy than the control group (Western medication).

Conclusion

Xiyanping, Reduning, and Tanreqing injections may yield benefits as COVID-19 treatments. However, clinical trials on TCM injections for the treatment of COVID-19 are still lacking. More high-quality clinical trials are still required.

Mapping the footprints of COVID-19 pandemic

The new member of the coronavirus family created havoc in the world in few days of its discovery and was declared as a pandemic by March 2020. The enveloped, single-stranded RNA virus was first identified in a patient with dry cough, pain, and weakness for the past1 week with unknown etiology in Wuhan. The coronavirus soon spread across the globe in the next few weeks. To curb the spread of coronavirus, stringent measures such as lockdown and social distancing were enforced resulted in a declining of cases in various countries. However, unlocking, relaxation of preventive measures, and changing human behaviors led to a drastic increase in the number of COVID-19 cases resulting in the second wave of transmission. This resulted in reimposing of lockdown measures in countries such as Nepal, Italy, France, Netherland, and Germany. At present, the virus has affected over 110.7 million peoples and over 2.4 million deaths across the world, with India having the second-highest number of COVID-19 cases, following the United States of America. Furthermore, a cross-sectional view of the disease states several new strains being reported across the globe at one end and at another end there is rolling out of vaccine against COVID-19. There is still uncertainty related to curbing of the pandemic as effect of vaccine on new strains is undetermined. Thus, it is important to understand the transforming epidemiology of the virus as it helps in planning necessary steps for physicians and policymakers. The present review summarizes the updated information primarily about the epidemiology of COVID-19, from initiation to the present scenario.

Assessment of pandemic (COVID-19) preparedness in a teaching hospital in northern India using available (CDC-Atlanta) checklist

Background:

Hospitals are at the forefront of dealing infectious public health emergencies. Recently, COVID-19 has been declared as pandemic by the World Health Organization. Dealing with COVID-19 pandemic requires high intensity of administrative activity.

Objective:

We conducted this study to assess and compare, objectively, hospital preparedness with available Centre of Disease Control and Prevention (CDC) standards.

Methods:

CDC has issued checklist for the assessment of hospital preparedness for COVID-19 pandemic, globally. This list contains 10 elements with sub-sections. We objectified the same and scored the hospital preparations accordingly. Various financial efforts made by the hospital to procure COVID19-specified items was also recorded.

Results:

As per the CDC checklist, the hospital scored 197 points (72.06%) out of 270 points with highest points in element two and eight. Element two is for the development for written COVID-19 plan. Element eight consists of addressing the occupational health of healthcare workers. Lowest scoring was in the element seven represented visitor access and movement within facility. During the study period, the hospital procured items of approximately 55 lakhs. In the study period, doctors, nursing staff, housekeeping staff, and security staff were channelized for doing COVID-19 duties.

Conclusions:

We obtained a score above 70% (good) which is quite encouraging, and we concluded that pandemic preparations in hospitals are necessary and it can be assessed objectively against prevailing standards. It is important in poor countries like India where spending on healthcare is minimal compared to other countries. Additionally, this assessment can be used to guide us further changes in policies and identifying the gaps in pandemic preparedness in hospitals which require special attention.