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COVID-19 has slowed global economic growth and consequently impacted the environment as well. Parallelly, the environment also influences the transmission of this novel coronavirus through various factors. Every nation deals with varied population density and size; air quality and pollutants; the nature of land and water, which significantly impact the transmission of coronavirus. The WHO (Ziaeepour et al., 2008) [1] has recommended rapid reviews to provide timely evidence to the policymakers to respond to the emergency. The present study follows a rapid review along with a brief bibliometric analysis of 328 research papers, which synthesizes the evidence regarding the environmental concerns of COVID-19. The novel contribution of this rapid review is threefold. One, we take stock of the diverse findings as regards the transmission of the novel coronavirus in different types of environments for providing conclusive directions to the ongoing debate regarding the transmission of the virus. Two, our findings provide topical insights as well as methodological guidance for future researchers in the field. Three, we inform the policymakers on the efficacy of environmental measures for controlling the spread of COVID-19. • The study conducts a rapid review of 117 papers synthesizing the evidence regarding the environmental concerns of Covid-19. • We explore themes of meteorological- and non-meteorological factors, air qualities, water-based, and land-related factors. • Our review calls for maintaining a cleaner environment to reduce the mortality and morbidity cases during future pandemics. • Our study informs the body of knowledge in the field of pandemics, environment, and general science. [ABSTRACT FROM AUTHOR]

• A mathematical model is developed for COVID-19 pandemic. • The parameters of the model are estimated using basis functions. • It's possible to fit the model to real data by time-varying estimation of parameters. • The time-varying parameters result in COVID-19 Linear Parameter Varying (LPV) model. • The LPV model is useful for stability assessment and controller design. Current outbreaks of the COIVD-19 pandemic demonstrate a global threat. In this paper, a conceptual model is developed for the COVID-19 pandemic, in which the people in society are divided into Susceptible, Exposed, Minor infected (Those who need to be quarantined at home), Hospitalized (Those who are in need of hospitalization), Intensive infected (ventilator-in-need infected), Recovered and Deceased. In this paper, first, the model that is briefly called SEMHIRD for a sample country (Italy as an example) is considered. Then, exploiting the real data of the country, the parameters of the model are obtained by assuming some basis functions on the collected data and solving linear least square problems in each window of data to estimate the time-varying parameters of the model. Thus, the parameters are updated every few days, and the system behavior is modeled according to the changes in the parameters. Then, the Linear Parameter Varying (LPV) Model of COVID19 is derived, and its stability analysis is presented. In the end, the influence of different levels of social distancing and quarantine on the variation of severely infected and hospitalized people is studied. [ABSTRACT FROM AUTHOR]

Several antiviral peptides (AVPs) from aquatic organisms have been effective in interfering with the actions of infectious viruses, such as Human Immunodeficiency Virus-1 and Herpes Simplex Virus-1 and 2. AVPs are able to block viral attachment or entry into host cells, inhibit internal fusion or replication events by suppressing viral gene transcription, and prevent viral infections by modulating host immunity. Therefore, as promising therapeutics, the potential of aquatic AVPs for use against the COVID-19 pandemic caused by SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) is considered. At present no therapeutic drugs are yet available. A total of 32 AVPs derived from fish and shellfish species are discussed in this review paper with notes on their properties and mechanisms of action in the inhibition of viral diseases both in humans and animals, emphasizing on SARS-CoV-2. The molecular structure of novel SARS-CoV-2 with its entry mechanisms, clinical signs and symptoms are also discussed. In spite of only a few study of these AVPs against SARS-CoV-2, aquatic AVPs properties and infection pathways (entry, replication and particle release) into coronaviruses are linked in this paper to postulate an analysis of their potential but unconfirmed actions to impair SARS-CoV-2 infection in humans. • Antiviral peptides (AVPs) are effective against viral infections. • AVPs are able to inhibit the fusion between virus and host cell, thereby blocking the entry or replication of viruses. • Likewise, protecting host cells from HSV, HIV, VHSV and WSSV invasion, aquatic AVPs have the potential to control SARS-CoV-2. [ABSTRACT FROM AUTHOR]

There are overwhelming increases of studies and over 200,000 publications related to all the aspects of COVID-19. Among them, 262 papers were published by authors from 67 countries regarding COVID-19 with water science and technology. Although the transmission routes of SARS-CoV-2 in water cycle have not been proved, the water and wastewater play an important role in the control of COVID-19 pandemic. Accordingly, it is scholarly relevant and interesting to look into publications of COVID-19 in water science and technology to track the investigations for moving forward in the years to come. It is believed that, through the literature survey, the question on what we know and what we do not know about COVID-19 so far can be clear, thus providing useful information for helping curbing the epidemic from water sector. This forms the basis of the current study. As such, a bibliometric analysis was conducted. It reveals that wastewater-based epidemiology (WBE) has recently gained global attention with the source and survival characteristics of coronavirus in the aquatic environment; the methodology of virus detection; the water hygiene; and the impact of the COVID-19 pandemic on the water ecosystem being the main topics in 2020. Various studies have shown that drinking water is safety whereas wastewater may be a potential risk during this pandemic. From the perspective of the water cycle, the scopes for further research needs are discussed and proposed, which could enhance the important role and value of water science in warning, monitoring, and predicting COVID-19 during epidemic outbreaks. [Display omitted] • 262 papers published by authors of 67 countries/regions regarding COVID-19 with water science and technology in 2020. • Two research trends of source & survival characteristics and the methodology of virus detection. • Further research needs of standardized protocol for WEB and secondary risk for water health. • The digital revolution in water industry being helpful for COVID-19 control. [ABSTRACT FROM AUTHOR]

• Providing a systematic literature review on digital contact tracing • Indicating if digital contact tracing reduces the effective reproductive number (R eff) • Identifying the relation between app uptake level and effectiveness of digital contact tracing • Comparing the efficiency of digital to manual contact tracing Digital contact tracing provides an expeditious and comprehensive way to collect and analyze data on people's proximity, location, movement, and health status. However, this technique raises concerns about data privacy and its overall effectiveness. This paper contributes to this debate as it provides a systematic review of digital contact tracing studies between January 1, 2020, and March 31, 2021. Following the PRISMA protocol for systematic reviews and the CHEERS statement for quality assessment, 580 papers were initially screened, and 19 papers were included in a qualitative synthesis. We add to the current literature in three ways. First, we evaluate whether digital contact tracing can mitigate COVID-19 by either reducing the effective reproductive number or the infected cases. Second, we study whether digital is more effective than manual contact tracing. Third, we analyze how proximity/location awareness technologies affect data privacy and population participation. We also discuss proximity/location accuracy problems arising when these technologies are applied in different built environments (i.e., home, transport, mall, park). This review provides a strong rationale for using digital contact tracing under specific requirements. Outcomes may inform current digital contact tracing implementation efforts worldwide regarding the potential benefits, technical limitations, and trade-offs between effectiveness and privacy. [ABSTRACT FROM AUTHOR]

Antibody assay for SARS-CoV-2 has become increasingly important to track latent and asymptomatic infections, check the individual's immune status, and confirm vaccine efficacy and durability. However, current SARS-CoV-2 antibody assays require invasive blood collection, requiring a remote laboratory and a trained phlebotomist. Direct detection of SARS-CoV-2 antibodies from clinical saline gargle samples has been considered challenging due to the smaller number of antibodies in such specimens and the high limit of detection of currently available rapid tests. This work demonstrates simple and non-invasive methods for detecting SARS-CoV-2 salivary antibodies. Competitive particle immunoassays were developed on a paper microfluidic chip using the receptor-binding domain (RBD) antigens on spike proteins. Using a smartphone, they were monitored by counting the captured fluorescent particles or evaluating the capillary flow velocities. The limit of detection (LOD), cross-binding between alpha- and omicron-strains, and the effect of angiotensin-converting enzyme 2 (ACE2) presence were investigated. LODs were 1–5 ng/mL in both 10% and 1% saliva. Clinical saline gargle samples were assayed using both methods, showing a statistical difference between virus-negative and virus-positive samples, although the assays targeted antibodies. Only a small number of virus-positive samples were antibody-negative. The high assay sensitivity detected a small number of antibodies developed even during the early phase of infections. Overall, this work demonstrates the ability to detect SARS-CoV-2 salivary IgG antibodies on simple, cost-effective, portable platforms towards mitigating SARS-CoV-2 and potentially other respiratory viruses. [ABSTRACT FROM AUTHOR]

Individuals in any country are badly impacted both economically and physically whenever an epidemic of infectious illnesses breaks out. A novel coronavirus strain was responsible for the outbreak of the coronavirus sickness in 2019. Corona Virus Disease 2019 (COVID-19) is the name that the World Health Organization (WHO) officially gave to the pneumonia that was caused by the novel coronavirus on February 11, 2020. The use of models that are informed by machine learning is currently a major focus of study in the field of improved forecasting. By displaying annual trends, forecasting models can be of use in performing impact assessments of potential outcomes. In this paper, proposed forecast models consisting of time series models such as long short-term memory (LSTM), bidirectional long short-term memory (Bi-LSTM), generalized regression unit (GRU), and dense-LSTM have been evaluated for time series prediction of confirmed cases, deaths, and recoveries in 12 major countries that have been affected by COVID-19. Tensorflow1.0 was used for programming. Indices known as mean absolute error (MAE), root means square error (RMSE), Median Absolute Error (MEDAE) and r2 score are utilized in the process of evaluating the performance of models. We presented various ways to time-series forecasting by making use of LSTM models (LSTM, BiLSTM), and we compared these proposed methods to other machine learning models to evaluate the performance of the models. Our study suggests that LSTM based models are among the most advanced models to forecast time series data. [ABSTRACT FROM AUTHOR]

[Display omitted] • A series of peptidomimetic SARS-CoV-2 3CLpro inhibitors were synthesized and evaluated. • Potent compounds were discovered by changing the P 2 and P 4 position. • Compounds 1a and 2b showed excellent enzyme inhibitory potency and significant antiviral activity. • The metabolic stability of 1a and 2b in liver microsomes was significantly improved. In this paper, a series of peptidomimetic SARS-CoV-2 3CL protease inhibitors with new P 2 and P 4 positions were synthesized and evaluated. Among these compounds, 1a and 2b exhibited obvious 3CLpro inhibitory activities with IC 50 of 18.06 nM and 22.42 nM, respectively. 1a and 2b also showed excellent antiviral activities against SARS-CoV-2 in vitro with EC 50 of 313.0 nM and 170.2 nM, respectively, the antiviral activities of 1a and 2b were 2- and 4-fold better than that of nirmatrelvir, respectively. In vitro studies revealed that these two compounds had no significant cytotoxicity. Further metabolic stability tests and pharmacokinetic studies showed that the metabolic stability of 1a and 2b in liver microsomes was significantly improved, and 2b had similar pharmacokinetic parameters to that of nirmatrelvir in mice. [ABSTRACT FROM AUTHOR]

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continues to evolve and adapt after its emergence in late 2019. As the causative agent of the coronavirus disease 2019 (COVID-19), the replication and pathogenesis of SARS-CoV-2 have been extensively studied by the research community for vaccine and therapeutics development. Given the importance of viral spike protein in viral infection/transmission and vaccine development, the scientific community has thus far primarily focused on studying the structure, function, and evolution of the spike protein. Other viral proteins are understudied. To fill in this knowledge gap, a few recent studies have identified nonstructural protein 6 (nsp6) as a major contributor to SARS-CoV-2 replication through the formation of replication organelles, antagonism of interferon type I (IFN-I) responses, and NLRP3 inflammasome activation (a major factor of severe disease in COVID-19 patients). Here, we review the most recent progress on the multiple roles of nsp6 in modulating SARS-CoV-2 replication and pathogenesis. [Display omitted] • This paper reviews the structural model and function of SARS-CoV-2 nsp6 protein. • SARS-CoV-2 nsp6 is a membrane protein essential for the formation of replication organelles. • SARS-CoV-2 nsp6 antagonizes type-I interferon responses and NLRP3 inflammasome activation. • SARS-CoV-2 variants accumulate specific nsp6 mutations to modulate viral pathogenesis. [ABSTRACT FROM AUTHOR]

• An intelligent prediction model to discriminate the severity of COVID-19 is proposed, which combines an improved whale optimization algorithm (RRWOA) with k-nearest neighbor classifier. • Random contraction strategy and modified Rosenbrock method are introduced, which enhance the exploration and exploitation respectively. • RRWOA shows its competitiveness on IEEE CEC2014, and the model performs best on 15 UCI datasets and the COVID-19 dataset. Coronavirus Disease 2019 (COVID-19), instigated by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has hugely impacted global public health. To identify and intervene in critically ill patients early, this paper proposes an efficient, intelligent prediction model based on the machine learning approach, which combines the improved whale optimization algorithm (RRWOA) with the k-nearest neighbor (KNN) classifier. In order to improve the problem that WOA is prone to fall into local optimum, an improved version named RRWOA is proposed based on the random contraction strategy (RCS) and the Rosenbrock method. To verify the capability of the proposed algorithm, RRWOA is tested against nine classical metaheuristics, nine advanced metaheuristics, and seven well-known WOA variants based on 30 IEEE CEC2014 competition functions, respectively. The experimental results in mean, standard deviation, the Friedman test, and the Wilcoxon signed-rank test are considered, proving that RRWOA won first place on 18, 24, and 25 test functions, respectively. In addition, a binary version of the algorithm, called BRRWOA, is developed for feature selection problems. An efficient prediction model based on BRRWOA and KNN classifier is proposed and compared with seven existing binary metaheuristics based on 15 datasets of UCI repositories. The experimental results show that the proposed algorithm obtains the smallest fitness value in eleven datasets and can solve combinatorial optimization problems, indicating that it still performs well in discrete cases. More importantly, the model was compared with five other algorithms on the COVID-19 dataset. The experiment outcomes demonstrate that the model offers a scientific framework to support clinical diagnostic decision-making. Therefore, RRWOA is an effectively improved optimizer with efficient value. [ABSTRACT FROM AUTHOR]

• Muscle weakness after COVID-19 can be caused by critical illness myopathy. • Critical illness myopathy should be suspected in patients with long ICU stay. • Health systems must plan access to rehabilitative facilities after COVID-19. This paper describes a patient who developed diffuse and symmetrical muscle weakness after a long stay in the intensive care unit (ICU) due to coronavirus disease 2019 (COVID-19). The patient underwent a neurophysiological protocol, including nerve conduction studies, concentric needle electromyography (EMG) of the proximal and distal muscles, and direct muscle stimulation (DMS). Nerve conduction studies showed normal sensory conduction and low-amplitude compound muscle action potentials (CMAPs). EMG revealed signs of myopathy, which were more pronounced in the lower limbs. The post-DMS CMAP was absent in the quadriceps and of reduced amplitude in the tibialis anterior muscle. Based on these clinical and neurophysiological findings, a diagnosis of critical illness myopathy was made according to the current diagnostic criteria. Given the large number of patients with COVID-19 who require long ICU stays, many are very likely to develop ICU-acquired weakness, as did the patient described here. Health systems must plan to provide adequate access to rehabilitative facilities for both pulmonary and motor rehabilitative treatment after COVID-19. [ABSTRACT FROM AUTHOR]

The COVID-19 outbreak is a disaster now throughout the world. To stop this outbreak, we appeal through the paper for extensive partnership, collaboration and teamwork among the all levels of workers such as scientist, doctors, medical professionals, social workers, policy makers, governments, pharmaceutical firms, funding aid agencies to stop the pandemic immediately. [ABSTRACT FROM AUTHOR]

• Family members of healthcare workers are extremely exposed to SARS-COV-2 infection. • Family members are less protected than healthcare workers. • Family members of healthcare workers experienced higher SARS-COV-2 contagion rate than healthcare workers themselves. • Healthcare workers were not the main source of SARS-COV-2 transmission for their families. Many publications have considered the exposure risk to COVID-19 of the general population and healthcare workers. However, no available papers have discussed the risk of exposure by family members of health care workers. The present study collected data on SARS-COV-2 positive family members (FM) of health care workers (HW) using serological rapid IgM/IgG tests (SRT), compared to positive HWs on SRT and serological quantitative IgG tests (SQT). The study was conducted from May 2 to 31, 2020. Thirty-eight HWs were tested by both SRT and SQT; 81 FMs were screened using SRT. Descriptive statistical analyses were used to summarize the data. Of the 38 HWs, two (5,3%) showed an IgG line on SRT, confirmed by SQT. Thirty-two HWs decided on self-isolation from the family during the SARS-COV-2 spread. Out of 81 FMs, 26 (32,1%) were found IgG positive on SRT. Eleven (42%) of them had symptoms typical for COVID-19, during the study period. In two families, the HWs were the only negative cases. The general population's exposure to COVID-19 is less controlled than that of HWs. HWs experienced a lower infection rate than their families and did not represent a main transmission risk for relatives. [ABSTRACT FROM AUTHOR]

Two recent Lancet and Lancet Oncology papers report that cancer patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection have higher mortality rates. Common independent factors associated with increased risk of death were older age, history of smoking status, number of comorbidities, more advanced performance status, and active cancer. [ABSTRACT FROM AUTHOR]

An outbreak of coronavirus disease (COVID-19) in Wuhan, China caused by SARS-CoV-2 has led to a serious epidemic in China and other countries, resulting in worldwide concern. With active efforts of prevention and control, more and more patients are being discharged. However, how to manage these patients normatively is still challenging. This paper reports an asymptomatic discharged patient with COVID-19 who retested positive for SARS-CoV-2, which arouses concern regarding the present discharge standards of COVID-19. [ABSTRACT FROM AUTHOR]

• This paper firstly shares the ambulance situation in China. • Number of Ambulances in China increased greatly, especially for the negative pressure ambulance. • Negative pressure ambulances had positive influence on the contain of COVID-19. • Influence of negative pressure ambulance on containment of COVID-19 is discussed. • This article offers a valuable reference on ambulance now and in the future. New coronavirus (COVID-19) is a newly emerging and highly infectious form of typical pneumonia with a high rate of transmission. The COVID-19 pneumonia has spread to 147 countries and areas as of Mar.16th 2020, which has tremendous impact on the global public health. It is well known that, in China, the pandemic has been contained effectively with a series of emergency measures. It is necessary to share the existing experience of China in the fight against the pandemic to the world. Especially, during the process of prevention and containment of the pandemic, ambulances play an important role in transporting infectious patients. In this paper, focusing on the safety and quantity of negative pressure ambulances, the influence of ambulance on newly confirmed cases is given. Analysis of negative pressure ambulance on the containment of COVID-19 is shown. The potential development of ambulance is discussed. While the pandemic still continues spreading across the world, we hope to share our experience in the implementation of these strategies by China to save more life. [ABSTRACT FROM AUTHOR]

Clinical descriptions about influenza-like illness in children seem non-specific during the co-circulation of SARS-CoV-2 and influenza. This paper aimed to summarize recent studies comparing clinical features and outcome, laboratory and radiological findings of COVID-19 patients with influenza patients in the paediatric population. • Clinical descriptions about inflenza-like illness in children seem non specific during the co-circulation of SARS-CoV-2 and influenza. • Both SARS-CoV-2 and influenza virus share similarities such as viral shedding, route of transmission and clinical presentation in adults and children presenting with influenza like-illness. • This paper aimed to summarize recent studies comparing clinical features and outcome, laboratory and radiological findings of COVID-19 patients with influenza patients in pediatric population. [ABSTRACT FROM AUTHOR]

SARS-CoV-2 diagnosis was accomplished using real-time RT-PCR [1] on a nasopharyngeal swab and sputum for patient 1 and on a nasopharyngeal swab for patient 2, collected 1 day after symptom onset. The reads from the two respiratory samples of patient 1 were merged to obtain a better coverage along the virus genome, and in this paper are referred to as data from the clinical sample. Intra-sample assessment of overall virus genome variability resulted in 1.27 × 10 SP -4 sp and 1.02 × 10 SP -4 sp nucleotide substitutions per site for the isolate and the clinical sample, respectively. [Extracted from the article]

• The study described the case of a 7-week-old suckling baby infected withSARS-CoV-2 virus. • Only culture isolation allowed the identification of the cytopathogenic agent. • Cell culture still remains the only reference method for emerging viruses. SARS-CoV-2 emerged in China in December 2019 and has now been declared a pandemic by the World Health Organization. This paper described the case of a 7-week-old suckling baby from Italy who was SARS-CoV-2-positive only by the cell culture method, with no clinical suspicion of and/or risk factors for SARS-CoV-2 infection. The baby was referred to hospital, with signs and symptoms of upper respiratory tract infection, before the virus had spread to the province. Nasal and pharyngeal swabs and a nasopharyngeal aspirate were used for conventional and molecular diagnostic assays not including the SARS-CoV-2 virus. Bacteria referred to the resident population were revealed in nasal and pharyngeal swabs. No viruses were detected using both immunofluorescence assay and nucleic acid amplification assays in the nasopharyngeal aspirate. The baby was discharged in good condition after 3 days of hospitalisation. Later, a cytopathic effect on the cell monolayers currently used for respiratory viruses was observed and the viral particles were identified as Coronaviridae by transmission electron microscopy. SARS-CoV-2 was identified by RT-PCR performed both on cell culture and on the stored aliquot of the original sample. The virus isolate was named SARS-Cov-2/human/Parma/1/2020. Cell culture still remains the only reference diagnostic method also for emerging viruses, allowing it to reveal cytopathogenic viruses and demonstrate their infectivity. [ABSTRACT FROM AUTHOR]

• Intestine SARS-CoV-2 infection affects the disease course of COVID-19. • The digestive system is the main target organ of SARS-CoV-2 in some patients. • Viral excretion of SARS-CoV-2 in feces. • Management of patients with COVID-19 after discharge should include intestine SARS-CoV-2 infection. The current reports of COVID-19 focus on the respiratory system, however, intestinal infections caused by SARS-CoV-2 are also worthy of attention. This paper reported persistence of intestinal SARS-CoV-2 infection leads to re-admission after pneumonia resolved in three cases with COVID-19. [ABSTRACT FROM AUTHOR]

Starting in early 2020, the novel coronavirus disease (COVID-19) severely attached the U.S., causing substantial changes in the operations of bulk power systems and electricity markets. In this paper, we develop a data-driven analysis to substantiate the pandemic's impacts from the perspectives of power system security, electric power generation, electric power demand and electricity prices. Our results suggest that both electric power demand and electricity prices have discernibly dropped during the COVID-19 pandemic. Geographically diverse impacts are observed and quantified, while the bulk power systems and markets in the northeast region are most severely affected. All the data sources, assessment criteria, and analysis codes reported in this paper are available on a GitHub repository. [ABSTRACT FROM AUTHOR]

It is known that viral infections are epidemiologically prevalent and some of them are harmful to the central nervous system (CNS) due to the development of neuropsychiatric syndromes which affect the cognitive, affective, behavioral and perceptual domains. To carry out a comprehensive analysis of the psychiatric and neuropsychiatric repercussions of COVID-19 based on epidemiological, pathophysiological and clinical foundations observed in previous and recent pandemic events, and also to make a proposition about effective therapeutic interventions to help tackle this serious public health problem, more specifically in its neuropsychiatric developments. This current literature review has utilized literature reserves and scientific search engines MEDLINE, EMBASE and Web of Science. The search terms included, "SARS-CoV-2", "etiology," "psychiatric and neuropsychiatric repercussions", "severe infections" "COVID-19". Specific choices of unique papers from each of the searches were identified. The inclusion criteria were relevance and availability of full-text. Papers were excluded on the basis of relevance and non-availability of full-text. Papers were identified in the general literature reserve as pertinent to the search terms. The main psychiatric and neuropsychiatric repercussions analyzed were depression, anxiety, post-traumatic stress disorder, psychosis, nonspecific neurological symptoms, delirium, cerebrovascular complications, encephalopathies, neuromuscular disorders, anosmia and ageusia. The psychiatric and neuropsychiatric symptoms of acute respiratory syndromes can appear during or after the infectious stage. Among the risk factors pointed out for such effects are the female gender, health professionals, presence of avascular necrosis and distressing pain. Unlabelled Image • Coping with the pandemic situation regarding COVID-19 is a significant psychiatric stressor. • The direct effects of the virus itself and the subsequent immune response of the host on the human central nervous system (CNS) are still poorly known. • Viral infections are epidemiologically prevalent and some of them are harmful to the central nervous system (CNS). [ABSTRACT FROM AUTHOR]

• The Brazilian population is modelled by cellular automata. • The model is tuned for the COVID-19 evolution. • Social isolation has three variables: start, duration and percentage of reduced contact. • Simulations are carried out to analyze different demands on the healthcare system. • COVID-19 cases evolution and hospitalization cannot be used alone to end social campaigns. Background and objective Many countries around the world experienced a high increase in the number of COVID-19 cases after a few weeks of the first case, and along with it, excessive pressure on the healthcare systems. While medicines, drugs, and vaccines against the COVID-19 are being developed, social isolation has become the most used method for controlling the virus spreading. With the social isolation, authorities aimed to slow down the spreading, avoiding saturation of the healthcare system, and allowing that all critical COVID-19 cases could be appropriately treated. By tuning the proposed model to fit Brazil's initial COVID-19 data, the objectives of the paper are to analyze the impact of the social isolation features on the population dynamics; simulate the number of deaths due to COVID-19 and due to the lack of healthcare infrastructure; study combinations of the features for the healthcare system does not collapse; and analyze healthcare system responses for the crisis. Methods In this paper, a Susceptible-Exposed-Infected-Removed model is described in terms of probabilistic cellular automata and ordinary differential equations for the transmission of COVID-19, flexible enough for simulating different scenarios of social isolation according to the following features: the start day for the social isolation after the first death, the period for the social isolation campaign, and the percentage of the population committed to the campaign. Results Results showed that efforts in the social isolation campaign must be concentrated both on the isolation percentage and campaign duration to delay the healthcare system failure. For the hospital situation in Brazil at the beginning of the pandemic outbreak, a rate of 200 purchases per day of intensive care units and mechanical ventilators is the minimum rate to prevent the collapse of the healthcare system. Conclusions By using the model for different scenarios, it is possible to estimate the impact of social isolation campaign adhesion. For instance, if the social isolation percentage increased from 40% to 50% in Brazil, the purchase rate of 150 intensive care units and mechanical ventilators per day would be enough to prevent the healthcare system to collapse. Moreover, results showed that a premature relaxation of the social isolation campaign can lead to subsequent waves of contamination. [ABSTRACT FROM AUTHOR]

• One Welfare means the interrelationships between animal welfare, human wellbeing and the physical and social environment. • COVID-19 has resulted in multiple One Welfare impacts globally. • Pandemic management and recovery programmes should consider a One Health, One Welfare approach. One Welfare describes the interconnection between animal welfare, human wellbeing and their physical and social environment. The SARS-CoV-2 virus is the cause of COVID-19 and emerged as a human pathogen in 2019 although is thought to have a zoonotic source. The original wildlife reservoir and any potential intermediate hosts have not yet been identified. The combination of the virus zoonotic condition together with the impacts of disease control measures has exposed clear interconnections between animals, people and their environment from both a health and a welfare perspective. The One Welfare Framework comprises five sections that can help understand the different One Welfare levels on which the COVID-19 pandemic has impacted the world. This paper uses the One Welfare Framework to provide an overview of examples, within each of the five sections, where evidence is and/or can be made available to document COVID-19 impacts on One Welfare. The paper identifies a number of areas where further research and evidence gathering is required to better understand the different One Welfare impacts. Based on evidence summarised in this paper the author recommends that those responsible for managing the COVID-19 impacts and for planning the future recovery phase of the pandemic should consider adopting a holistic approach, including both health and welfare, by adopting "One Health, One Welfare" policies. [ABSTRACT FROM AUTHOR]

In this paper we evaluate the operational efficiency of the Brazilian airlines considering the novel coronavirus Covid-19 outbreak. This novel coronavirus was first reported end of 2019 in Wuhan, China, however the powerful contamination spread among people forced the World Health Organization to characterize the Covid-19 as a pandemic in March of 2020. Here we analyze the main Brazilian airlines operations response due to lower demand because Covid-19 outbreak in first quarter of 2020 comparing with first quarter of 2019. The analysis here aims to verify the efficiency of airlines in domestic air transport market in Brazil through Multicriteria Data Envelopment Analysis (MCDEA) model. We used MCDEA to avoid limitations of classical DEA models for the case, especially the numbers of decision units and variable. In this paper we used an improvement of the MCDEA model to seek benchmarks considering a dual model all objective functions of MCDEA. The results highlight the challenges for the airlines, due to flight restriction and demand dropping. And also, the evaluation exposes the different company configuration of aircrafts age and network reconfiguration which was reflected by the efficiency difference on the period. The assessment shows the company with a better mix of aircraft models has a leverage on efficiency response due to unpredictable period as the pandemic Covid-19 outbreak. • Air transport largely facilitates diseases spread worldwide. • Analysis of Brazilian airlines during the Covid-19 outbreak. • Assessment considers the Multicriteria Data Envelopment Analysis (MCDEA) model. • Improvement of the MCDEA model to seek benchmarks based in a duality formulation. • Efficiency challenges for the airlines to outbrave the Covid-19. [ABSTRACT FROM AUTHOR]

• Field grand challenges in dealing with emerging contaminants. • The detection of superbugs and the novel coronavirus (SARS-CoV-2) in water. • The potential risk of superbugs and the novel coronavirus (SARS-CoV-2) on plastics. This opinion paper reports field grand challenges associated with plastic and water contaminated with the novel coronavirus (severe acute respiratory syndrome coronavirus 2, SARS-CoV-2) and superbugs, given the emergency of public health and environmental protection from the presence of lethal viruses and bacteria. Two primary focuses of detection and treatment methods for superbugs and the novel coronavirus (SARS-CoV-2) are investigated, and the future outlook is provided based on grand challenges identified in the water field. Applying conventional treatment technologies to treat superbugs or the novel coronavirus (SARS-CoV-2) has brought negative results, including ineffective treatment, formation of toxic byproducts, and limitation of long-term performance. Existing detection methods are not feasible to apply in terms of sensitivity, difficulty of applications in field samples, speed, and accuracy at the time of sample collection. Few studies are found on superbugs or adsorption of the novel coronavirus (SARS-CoV-2) on plastic, as well as effects of superbugs or the novel coronavirus (SARS-CoV-2) on treatment of plastic waste and wastewater. With the need for and directions of further research and challenges discussed in this paper, we believe that this opinion paper offers information useful to a wide audience, including scientists, policy makers, consultants, public health workers, and field engineers in the water sector. [ABSTRACT FROM AUTHOR]

[Display omitted] • Virulence of different SARS-CoV-2 variants including Alpha, Beta, Gamma, Epsilon, Zeta, Eta, Theta, Lota, Kappa, Lambda, Mu, Delta and vaccine effectiveness against them. • Virulence of the currently circulating variant of concern (VOC), the Omicron variant, and vaccine effectiveness against it. • Discussion of the effectiveness of parental vs. bivalent mRNA vaccines against new SARS-CoV-2 sublineages. It has been more than three years since the first emergence of coronavirus disease 2019 (COVID-19) and millions of lives have been taken to date. Like most pandemics caused by viral infections, massive public vaccination is the most promising approach to cease COVID-19 infection. In this regard, several vaccine platforms including inactivated virus, nucleic acid-based (mRNA and DNA vaccines), adenovirus-based, and protein-based vaccines have been designed and developed for COVID-19 prevention and many of them have received FDA or WHO approval. Fortunately, after global vaccination, the transmission rate, disease severity, and mortality rate of COVID-19 infection have diminished significantly. However, a rapid increase in COVID-19 cases due to the omicron variant in vaccinated countries has raised concerns about the effectiveness of these vaccines. In this review, articles published between January 2020 and January 2023 were reviewed using PubMed, Google Scholar, and Web of Science search engines with appropriate related keywords. The related papers were selected and discussed in detail. The current review mainly focuses on the effectiveness and safety of COVID-19 vaccines against SARS-CoV-2 variants. Along with discussing the available and approved vaccines, characteristics of different variants of COVID-19 have also been discussed in brief. Finally, the currently circulating COVID-19 variant i.e Omicron, along with the effectiveness of available COVID-19 vaccines against these new variants are discussed in detail. In conclusion, based on the available data, administration of newly developed bivalent mRNA COVID-19 vaccines, as booster shots, would be crucial to prevent further circulation of the newly developed variants. [ABSTRACT FROM AUTHOR]

The possibility of unfavorable leakages, especially with infectious diseases, in heat recovery systems in air handling units (AHU) is an essential issue. Typical configurations of AHU are analyzed in this aspect, based on their pressure distribution. It is shown that analyzing only for the design conditions is insufficient and that the changing pressure drops of the air filters due to their nonuniform soiling should be taken into account. The novelty of this paper is in proposed method of considering these leaks in the Wells-Riley model, widely used in the literature for airborne transmission of infectious diseases, including the leakage correction factor f h r l e a k (outdoor fresh air correction factor) based on EATR (exhaust air transfer ratio). Using the proposed method, for typical rooms, on the example of the SARS-CoV-2 virus and its Delta and Omicron variants, it is shown that considering leaks in heat recovery systems in AHU increases the probability of pathogen transmission. The highest increase in the absolute value of the probability of infection is observed in the single office scenario (4.1%) and in the auditorium with a sick speaker scenario (2.7%). The highest increase in reproduction number is observed in the auditorium with a sick speaker scenario (2.69). Such significant changes in reproduction number, including its change from R < 1.0 to R > 1.0 (auditorium with sick speaker for Delta variant of the virus), are crucial from the point of view of considering event scenarios; they slow down or accelerate the pandemic. [Display omitted] • Leakages in the heat recovery system of the AHU depend on the fan configuration. • Changes in AHU filters pressure drops due to soiling should be considered. • The most unfavorable configurations of air handling units were indicated. • The leakage correction factor for the Wells-Riley model is proposed. • Leakages increase the calculated probability of transmission of airborne infection. [ABSTRACT FROM AUTHOR]

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes coronavirus disease 2019 (COVID-19). The high human-to-human transmission and rapid evolution of SARS-CoV-2 have resulted in a worldwide pandemic. To contain SARS-CoV-2, it is essential to efficiently control the transmission of the virus through the early diagnosis of infected individuals, including asymptomatic people. Therefore, a rapid and accurate assay is vital for the early diagnosis of SARS-CoV-2 in suspected individuals. In this study, we developed a colorimetric lateral flow immunoassay (LFIA) in which a CBP31-BC linker was used to immobilize antibodies on a cellulose membrane in an oriented manner. The developed LFIA enabled sensitive detection of cultured SARS-CoV-2 in 15 min with a detection limit of 5 × 104 copies/mL. The clinical performance of the LFIA for detecting SARS-CoV-2 was evaluated using 19 clinical samples validated by reverse transcription-polymerase chain reaction (RT PCR). The LFIA detected all the positive and negative samples accurately, corresponding to 100% accuracy. Importantly, patient samples with low viral loads were accurately identified. Thus, the proposed method can provide a useful platform for rapid and accurate point-of-care testing of SARS-CoV-2 in infected individuals to efficiently control the COVID-19 pandemic. • A paper-based LFIA with CBP31-BC linker enabled oriented antibodies immobilization. • The developed LFIA had a detection limit of 5 × 104 copies/mL. • The detection accuracy of the developed LFIA was 100% for 19 clinical samples. • Patient samples with low viral loads were accurately detected. [ABSTRACT FROM AUTHOR]

A simple, affordable point of care test (POCT) is necessary for on-site detection of coronavirus disease 2019 (COVID-19). The lateral flow assay (LFA) has great potential for use in POCT mainly because of factors such as low time consumption, low cost, and ease of use. However, it lacks sensitivity and limits of detection (LOD), which are essential for early diagnostics. In this study, we proposed a non-powered preconcentrator (NPP) based on nanoelectrokinetics for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Antigen (Ag) lateral flow assay. The non-powered preconcentrator is composed of glass fiber-based composite paper and ion permselective material, and it can be simply operated by force balancing gravitational, capillary, and depletion-induced forces. The proposed approach helps enrich the SARS-CoV-2 viral nucleocapsid (N) proteins based on a 10-min operation, and it improved the LOD by up to 10-fold. The corresponding virus enrichment, which was evaluated using the reverse-transcriptase polymerase chain reaction (RT-PCR), revealed an improvement in ΔCt values > 3. We successfully demonstrated the enhancement of the NPP-assisted LFA, we extended to applying it to clinical samples. Further, we demonstrated an affordable, easy-to-implement form of LFA by simply designing NPP directly on the LFA buffer tube. [ABSTRACT FROM AUTHOR]

The number of biomedical articles published is increasing rapidly over the years. Currently there are about 30 million articles in PubMed and over 25 million mentions in Medline. Among these fundamentals, Biomedical Named Entity Recognition (BioNER) and Biomedical Relation Extraction (BioRE) are the most essential in analysing the literature. In the biomedical domain, Knowledge Graph is used to visualize the relationships between various entities such as proteins, chemicals and diseases. Scientific publications have increased dramatically as a result of the search for treatments and potential cures for the new Coronavirus, but efficiently analysing, integrating, and utilising related sources of information remains a difficulty. In order to effectively combat the disease during pandemics like COVID-19, literature must be used quickly and effectively. In this paper, we introduced a fully automated framework consists of BERT-BiLSTM, Knowledge graph, and Representation Learning model to extract the top diseases, chemicals, and proteins related to COVID-19 from the literature. The proposed framework uses Named Entity Recognition models for disease recognition, chemical recognition, and protein recognition. Then the system uses the Chemical - Disease Relation Extraction and Chemical - Protein Relation Extraction models. And the system extracts the entities and relations from the CORD-19 dataset using the models. The system then creates a Knowledge Graph for the extracted relations and entities. The system performs Representation Learning on this KG to get the embeddings of all entities and get the top related diseases, chemicals, and proteins with respect to COVID-19. [Display omitted] • A BERT-BiLSTM-CRF model to identify the biomedical named entities. • A SciBERT model to extract the relations between the biomedical entities. • Creating a Knowledge Graph for the COVID – 19 with entities as nodes and relations as edges. • Use of Representation Learning to identify top related drugs, disease and proteins for COVID – 19. [ABSTRACT FROM AUTHOR]

Wastewater-based epidemiology (WBE) provides a comprehensive real-time framework of population attitude and health status. This approach is attracting the interest of medical community and health authorities to monitor the prevalence of a virus (such as the severe acute respiratory syndrome coronavirus 2 , SARS-CoV-2) among a community. Indeed, WBE is currently fine-tuning as environmental surveillance tool for coronavirus disease 2019 (COVID-19) pandemic. After a bibliometric analysis conducted to discover the research trends in WBE field, this work aimed to side-by-side compare the conventional method based on clinical testing with WBE approach. Furthermore, novel guidelines were developed to apply the WBE approach to a pandemic. The growing interest on WBE approach for COVID-19 pandemic is demonstrated by looking at the sharp increase in scientific papers published in the last years and at the ongoing studies on viral quantification methods and analytical procedures. The side-by-side comparison highlighted the ability of WBE to identify the hot-spot areas faster than the conventional approach, reducing the costs (e.g., rational use of available resources) and the gatherings at medical centers. Contrary to clinical testing, WBE has the surveillance capacity for preventing the virus resurgence, including asymptomatic contribution, and ensuring the preservation of medical staff health by avoiding the exposure to the virus infection during clinical testing. As extensively reported, the time in collecting epidemiological data is crucial for establishing the prevention and mitigation measures that are essential for curbing a pandemic. The developed guidelines can help to build a WBE system useful to control any future pandemic. [Display omitted] • Wastewater-based epidemiology (WBE) is fine-tuning as COVID-19 surveillance tool. • Meant for illicit drug tracing, WBE gives virus spreading snapshot in a community. • Most cited keywords related to analytical viral method as a main burning topic. • Data based on clinical testing suffer by contact tracing and asymptomatic cases. • The trustworthiness of WBE data should be verified through long-term monitoring. [ABSTRACT FROM AUTHOR]

Viral cytopathic effects (VCE) are a well-known phenomenon associated with SARS-CoV-2 infection, especially in the cells associated with the lungs. Because maxillary sinus epithelium expresses angiotensin-converting enzyme 2, cells associated with it are more likely to become infected with SARS-CoV-2 and develop VCE. If VCE is seen in with background of a confirmatory COVID-19 diagnosis, then connecting both become quite convincing. However, the diagnostic problem is expected when a similar VCE is seen without any confirmatory diagnosis of CODIV-19. We reported a biopsy sample of maxillary sinusitis in a COVID-19 negative patient. Histopathological examination revealed a pathognomonic VCE in the localized proliferating pseudostratified ciliated epithelium. The only confirmatory aspect linking this VCE with the SARS-CoV-2 was the detection of virus particles at the tissue level. In the present paper, pitfalls and recommendations for future research on this topic are discussed. [ABSTRACT FROM AUTHOR]

Various organizations and societies around the globe have issued guidelines in response to the coronavirus disease (COVID-19) and virus (SARS-CoV-2). In this paper, heating, ventilating, and air-conditioning-related guidelines or documents in several major countries and regions have been reviewed and compared, including those issued by the American Society of Heating Refrigerating and Air-Conditioning Engineers, the Federation of European Heating, Ventilation, and Air Conditioning Associations, the Society of Heating, Air-Conditioning and Sanitary Engineers of Japan, Architectural Society of China, and the Chinese Institute of Refrigeration. Most terms and suggestions in these guidelines are consistent with each other, although there are some conflicting details, reflecting the underlying uncertainty surrounding the transmission mechanism and characteristics of COVID-19 in buildings. All guidelines emphasize the importance of ventilation, but the specific ventilation rate that can eliminate the risk of transmission of airborne particulate matter has not been established. The most important countermeasure, commonly agreed countermeasures, the conflicting content from different guidelines, and further work have been summarized in this paper. [ABSTRACT FROM AUTHOR]

The novel Coronavirus disease of 2019 (nCOV-19) is a viral outbreak noted first in Wuhan, China. This disease is caused by Severe Acute Respiratory Syndrome (SARS) Coronavirus (CoV)-2. In the past, other members of the coronavirus family, such as SARS and Middle East Respiratory Syndrome (MERS), have made an impact in China and the Arabian peninsula respectively. Both SARS and COVID-19 share similar symptoms such as fever, cough, and difficulty in breathing that can become fatal in later stages. However, SARS and MERS infections were epidemic diseases constrained to limited regions. By March 2020 the SARS-CoV-2 had spread across the globe and on March 11th, 2020 the World Health Organization (WHO) declared COVID-19 as pandemic disease. In severe SARS-CoV-2 infection, many patients succumbed to pneumonia. Higher rates of deaths were seen in older patients who had co-morbidities such as diabetes mellitus, hypertension, cardiovascular disease (CVD), and dementia. In this review paper, we discuss the effect of SARS-CoV-2 on CNS diseases, such as Alzheimer's-like dementia, and diabetes mellitus. We also focus on the virus genome, pathophysiology, theranostics, and autophagy mechanisms. We will assess the multiorgan failure reported in advanced stages of SARS-CoV-2 infection. Our paper will provide mechanistic clues and therapeutic targets for physicians and investigators to combat COVID-19. Unlabelled Image • SARS-CoV-2 and Dementia, Multiple Sclerosis, Encephalitis, and Parkinson's disease • SARS-CoV-2 and Diabetes Mellitus Coronaviruses and Autophagy • Protease Inhibitors and Repurposed Drugs for SARS-CoV-2 USFDA approved drugs-HCQ and Remdesivir. • SARS-CoV-2 diagnostics [ABSTRACT FROM AUTHOR]

• A bibliometric study on the first 3 months of research on COVID-19 was performed. • A total of 2062 articles in 578 journals and 1425 preprints were identified. • The scientific contributions from 73 countries were seen. • The highest number of original research emerged from China. • The scientific response to COVID-19 is unprecedented. Here we present the results of a bibliometric survey of peer-reviewed and pre-print papers published in the English language on issues related to COVID-19 within the first three months since a cluster of a severe acute respiratory disease of unknown etiology was officially confirmed by the Chinese Center for Disease Control and Prevention on 31 December 2019. A systematic search using PubMed/Medline and Scopus databases and preprint servers was performed. The articles were classified according to their type, subject and country of origin. Up to 31 March 2020, a total of 2062 papers published in 578 peer-reviewed journals and 1425 preprints posted mostly on medRxiv (55.4 %), were identified. The mean number of published journal papers and preprints per day in the considered period was 27 and 12, respectively, and reached a maximum of 51 and 46 per day in March, respectively. The identified articles, journal papers and preprints, mostly covered the epidemiology of COVID-19 (35.7 %), clinical aspects of infection (21.0 %), preventative measures (12.8 %), treatment options (12.5 %), diagnostics (12.2 %), mathematical modeling of disease transmission and mitigation (9.6 %), and molecular biology and pathogenesis of SARS-CoV-2 (8.7 %). The majority of the journal papers were commentaries (38.5 %), reviews (33.6 %) and original research (21.3 %), while preprints predominantly presented original results (89.8 %). Chinese scientists contributed the highest share of original research and were responsible for 32.9 % journal papers and 43.9 % preprints published in the considered period. A high number of contributions was also seen from the United States, the United Kingdom, and Italy. The benefits and potential risks of such a massive publication output are discussed. The scientific response seen during the first 3 months of the COVID-19 outbreak is a demonstration of the capabilities of modern science to react rapidly to emerging global health threats by providing and discussing the essential information for understanding the etiological factor, its spread, preventative measures, and mitigation strategies. [ABSTRACT FROM AUTHOR]

Detection of the SARS-CoV-2 virus in stools and sewage has recently been reported, raising the hypothesis of faecal-oral transmission. If confirmed, this could have far-reaching consequences for public health and for pandemic control strategies. In this paper, we argue that a comprehensive and more nuanced analysis is required to test this hypothesis, taking into consideration both environmental dynamics and the persistence of viral infectivity. First, we examine the evidence regarding the presence of the virus in stools and sewage. Then we discuss the current framework of disease transmission through water and excreta and how the transmission of a respiratory disease fits into it. Against this background, we propose a framework to test the faecal-oral hypothesis, unpacking the different environmental routes from faeces to the mouth of a susceptible person. This framework should not be seen as a confirmation of the hypothesis but rather as an expanded view of its complexities, which could help shaping an agenda for research into a number of unanswered questions. Finally, the paper briefly discusses practical implications, based on current knowledge, for containment of the pandemic. Unlabelled Image • Presence of SARS-CoV-2 in stools and wastewater has recently been reported. • A possible faecal-oral transmission of SARS-CoV-2 has been raised. • Different routes from faeces to the mouth of a susceptible person exist. • Water, surfaces and places with vectors can be transmission routes. • A framework is proposed to help shaping a research agenda. [ABSTRACT FROM AUTHOR]

This study presents an in-depth investigation on the transmission of the novel coronavirus (COVID-19) from the urban perspective. It focuses on the "aftermath" of the outbreak and the spread of the infection among cities. Especially, this study provides insights of the fundamentals of the factors that may affect the spread of the infection in cities, where the marginal effects of some most influential factors to the virus transmission are estimated. It reveals that the distance to epicenter is a very strong influential factor, and is negatively linked with the spread of COVID-19. In addition, subway, wastewater and residential garbage are positively connected with the virus transmission. Moreover, both urban area and population density are negatively associated with the spread of COVID-19 at the early stage of the epidemic. Furthermore, this study also provides high precision estimation of the number of COVID-19 infection in Wuhan city, which is the epicenter of the outbreak in China. Based on the real-world data of cities outside Wuhan on March 2, 2020, the estimated number is 56,944.866 (mean value), which is very close to the officially reported number. The methodology and main conclusions shown in this paper are of general interest, and they can be applied to other countries to help understand the local transmission of COVID-19 as well. • This study presents an in-depth investigation on the transmission of the novel coronavirus (COVID-19) from the urban perspective. • It provides insights of the fundamentals of the factors that may affect the spread of the infection in cities. • It also provides high precision estimation of the number of COVID-19 infection in Wuhan city, which is the epicenter of the outbreak in China. • The methodology and main conclusions shown in this paper are of general interest, and they can be applied elsewhere. [ABSTRACT FROM AUTHOR]

• Efficient purification of recombinant SARS-CoV-2 trimeric spike protein. • Use of membrane chromatography. • Faster and more scalable than resin-based chromatography. • Suitable for purification of untagged spike protein. • Method does not involve expensive separation media and reagents. Recombinant SARS-CoV-2 trimeric spike protein produced by mammalian cell culture is a potential candidate for a COVID-19 vaccine. However, this protein is much larger than most typical biopharmaceutical proteins and its large-scale manufacture is therefore challenging. Particularly, its purification using resin-based chromatography is difficult as the diffusive transport of this protein to and from its binding site within the pores of the stationary phase particles is slow. Therefore, very low flow rates need to be used during binding and elution, and this slows down the purification process. Also, due to its large size, the binding capacity of this protein on resin-based media is low. Membrane chromatography is an efficient and scalable technique for purifying biopharmaceuticals. The predominant mode of solute transport in a membrane is convective and hence it is considered better than resin-based chromatography for purifying large proteins. In this paper, we propose a membrane chromatography-based purification method for fast and scalable manufacture of recombinant SARS-CoV-2 trimeric spike protein. A combination of cation exchange z2 laterally-fed membrane chromatography and size exclusion chromatography was found to be suitable for obtaining a homogeneous spike protein sample from mammalian cell culture supernatant. The proposed method is both fast and scalable and could be explored as a method for manufacturing vaccine grade spike protein. [ABSTRACT FROM AUTHOR]

Nitazoxanide (NTZ), a promising antiviral agent, is currently being tested in clinical trials as a potential treatment for novel coronavirus disease 2019 (COVID -19). This paper describes a one-pot hydrothermal synthesis to prepare molybdenum (Mo)-doped manganese tungstate nanocubes (Mo–MnWO 4 NCs) for the electrochemical sensing of NTZ. The as-prepared Mo–MnWO 4 NCs were characterized using various techniques such as XRD, Raman, FE-SEM, FE-TEM, and XPS to confirm the crystal structure, morphology, and elemental composition. The obtained results demonstrate that Mo doping on MnWO 4 generates many vacancy sites, exhibiting remarkable electrochemical activity. The kinetic parameters of the electrode modified with Mo–MnWO 4 NCs were calculated to be (Ks) 1.1 × 10−2 cm2 s−1 and (α) 0.97, respectively. Moreover, a novel electrochemical sensor using Mo–MnWO 4 NCs was fabricated to detect NTZ, which is used as a primary antibiotic to control COVID-19. Under optimal conditions, the electrochemical reduction of NTZ was determined with a low detection limit of 3.7 nM for a linear range of 0.014–170.2 μM with a high sensitivity of 0.78 μA μM−1 cm−2 and negligible interference with other nitro group-containing drugs, cations, and anions. The electrochemical sensor was successfully used to detect NTZ in the blood serum and urine samples and achieved high recoveries in the range of 94–99.2% and 95.3–99.6%, respectively. This work opens a way to develop high-performance sensing materials by exploring the introduction of defect engineering on metal tungstates to detect drug molecules for practical applications. [Display omitted] • The Mo doped MnWO 4 NCs were prepared by simple and inexpensive hydrothermal synthesis method. • A new electrochemical sensor (Mo–MnWO 4 /GCE) was developed for detection of the COVID-19 drug nitazoxanide (NTZ). • The Mo–MnWO 4 /GCE exhibits good electrocatalytic activity towards NTZ detection in biological samples. • A promising sensing device for detection of drugs by exploring the defect engineering on metal tungstates. [ABSTRACT FROM AUTHOR]

The current pandemic of the acute severe respiratory syndrome coronavirus 2 (SARS-CoV-2) killed about 6.4 million and infected more than 600 million individuals by august of 2022, and researchers worldwide are searching for fast and selective approaches for this virus detection. Colorimetric biosensors are an excellent alternative because they are sensitive, simple, fast, and low-cost for rapid detection of SARS-CoV-2 compared to standard Enzyme-linked immunosorbent assay (ELISA) and Polymerase Chain Reaction (PCR) techniques. This study systematically searched and reviewed literature data related to colorimetric biosensors in detecting SARS-CoV-2 viruses, recovered from the Scopus (n = 16), Web of Science (n = 19), PubMed (n = 19), and Science Direct (n = 17) databases totalizing n = 71 articles. Data were analyzed for the type of nanomaterial, biorecognition material at the detection limit (LOD), and devices designed for diagnostics. The most applied nanomaterial were gold nanoparticles, in their original form and hybrid in quantum dots and core-shell. In addition, we show high specificity in point-of-care (POC) diagnostic devices as a faster and cheaper alternative for clinical diagnosis. Finally, the highlights of the colorimetric biosensor developed for diagnostic devices applied in swabs, surgical masks, and lateral flow immunoassays were presented. [Display omitted] • Gold-based nanomaterials were the most applied in biosensors for SARS-CoV-2 detection. • The ACE2 enzyme was used as a biorecognition material of the biosensor, which did not need previa amplification. • The main applications of biosensors in POC are LFIA, mLFA, surgical masks, optodiagnostics and paper colorimetric. [ABSTRACT FROM AUTHOR]

[Display omitted] Glycan is an essential molecule that controls and drives life in a precise direction. The paucity of research in glycobiology may impede the significance of its role in the pandemic guidelines. The SARS-CoV-2 spike protein is heavily glycosylated, with 22 putative N-glycosylation sites and 17 potential O-glycosylation sites discovered thus far. It is the anchor point to the host cell ACE2 receptor, TMPRSS2, and many other host proteins that can be recognized by their immune system; hence, glycosylation is considered the primary target of vaccine development. Therefore, it is essential to know how this surface glycan plays a role in viral entry, infection, transmission, antigen, antibody responses, and disease progression. Although the vaccines are developed and applied against COVID-19, the proficiency of the immunizations is not accomplished with the current mutant variations. The role of glycosylation in SARS-CoV-2 and its receptor ACE2 with respect to other putative cell glycan receptors and the significance of glycan in host cell immunity in COVID-19 are discussed in this paper. Hence, the molecular signature of the glycan in the coronavirus infection can be incorporated into the mainstream therapeutic process. [ABSTRACT FROM AUTHOR]

The new coronavirus has been present for two years and has had a widespread and sustained impact worldwide. There is growing evidence in the literature that COVID-19 may have negative effects on mental illness in patients and in healthy populations. The unprecedented changes brought about by COVID-19, such as social isolation, school closures, and family stress, negatively affect people's mental health, especially that of children and adolescents. The purpose of this paper is to review the literature and summarize the impact of COVID-19 disorders on children's and adolescents' mental health, the mechanisms and risk factors, screening tools, and intervention and prevention. We hope that the mental dysfunction caused by the pandemic will be mitigated through appropriate and timely prevention and intervention. [ABSTRACT FROM AUTHOR]

It has long been known that coronaviruses cause various infectious diseases in animals. Although SARS-CoV-2 is genetically related to viruses isolated from Rhinolophus bats, the exact origin, mode of transmission, and how the human species has become the epidemiological reservoir of the virus have not yet been established with certainty. Although the main route of transmission is human-to-human, there are considerable numbers of reported cases of infection in animal species, predominantly among pet animals. The aim of this retrospective study was to assess SARS-CoV-2 seropositivity in dogs and cats during the COVID-19 pandemic in Šumadija District, Serbia. We used serology to identify household contacts of pet animals with infected pet owners and the degree of association. The study presented in this paper is also the first study of this type in Serbia. The results of a retrospective serosurvey, which was conducted in dogs and cats with different exposure risk factors, were analyzed to find the possible modes of transmission between humans and animals. The relative frequency of SARS-CoV-2 infection in dogs was 1.45% bounded with a 95% confidence interval (CI) of 0.0007–7.73%, while in cats, it was 5.56% (95% CI: 0.77–4.13%). The relative frequency of SARS-CoV-2 infection in pet owners was 11% (95% CI: 6.25–18.63%). In pets that were in close contact with COVID-19 positive owners, the seropositivity was found to be 9%. Out of a total of five stray dogs and cats tested, seropositivity was observed in two animals. Detected SARS-CoV-2 infection in pets shows that these animals are susceptible to infection and that the most common means of virus transmission to pets is through contact with diseased owners. However, the presence of infection in stray dogs and cats is not clear and needs further research. • Companion animals that are in close contact (indoor) with infected owners are at higher risk of becoming infected. • Cats are more susceptible to SARS-CoV-2 infection than dogs. • There is no evidence that companion animals might serve as a significant source of infection for people. • Monitoring of SARS-CoV-2 in dogs and cats could be useful as an additional instrument for monitoring SARS-CoV-2 circulation. [ABSTRACT FROM AUTHOR]

• The severity of SARS-CoV-2 has resulted in a rush to find antiviral treatment for this disease. • Despite in vitro data on efficacy of (hydroxy)chloroquine and azithromycin on SARS-CoV-2, there is no in vivo data that supports this. • We provide pharmacological, methodological and clinical considerations in response to the paper by Gautret et al. The severity of COVID-19 has resulted in a global rush to find the right antiviral treatment to conquer the pandemic and to treat patients. This requires reliable studies to support treatment. In a recently published study by Gautret et al. the authors concluded that hydroxychloroquine monotherapy and hydroxychloroquine in combination with azithromycin reduced viral load. However, this trial has several major methodological issues, including the design, outcome measure and the statistical analyses. In this paper we discuss the background, clinical evidence, pharmacology and methodological issues related to this clinical trial. We understand the rush to release results, however in case conclusions are far reaching the evidence needs to be robust. [ABSTRACT FROM AUTHOR]