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Aim: To determine the frequency of ear, nose and throat related disorders of covid disease in PCR proven positive Covid-19 patients. Method(s): This prospective study included 320 Covid-19 positive patients and was conducted at ENT Department of MTI Hayatabad Medical Complex, Peshawar from May 1, 2021 to April 30, 2022. The acute phase of covid-19 was taken as the time interval between the onsets of symptoms as day 1 today 30th post infection. Questions were asked about the following symptoms;flu, sore throat, sinus involvement, taste disturbances, smell disturbances, hoarseness and hearing loss. Clinical examination and relevant investigations were carried out to make a diagnosis. The data was documented on a proforma & analyzed using SPSS 26.0 for windows to determine the frequencies of signs & symptoms related to ENT. Result(s): A total of 320 patients were included in the study. The ages ranged from 18-50 years with mean age of 33.96 years. The age group 18-25 years mostly presented with symptoms related to ENT. Upper respiratory tract infection was the commonest symptom (60.6%) followed by sore throat (57.5%). Smell and taste disturbances accounted for in 46.3% & 15.3 % of the patients respectively. Fungal rhinosinusitis was observed in 6.9% of the patients. As there is a wide variation of the ENT symptoms in covid disease, it is important to know the predictive symptoms so that appropriate measures can be adopted. Identification & isolation of patients will prevent spread of disease and focused therapy and investigations. Practical implication Conclusion(s): The portal of entry for the SARS-CoV-2 is through the upper airway. It is important to know the symptoms related to ENT to make an early diagnosis and therefore, institute measures for management and prevention of further spread of the disease.Copyright © 2023 Lahore Medical And Dental College. All rights reserved.
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Objectives: To describe the clinical characteristics and angiographic features of COVID-19 patients presenting with acute coronary syndrome (ACS) and to compare with non-COVID-19 ACS patients presenting simultaneously. Methodology: In a case control design, data were extracted from a prospectively collected COVID-19 and NCDR registry. All ACS patients who underwent cardiac catheterization from April 2020 to May 2021 were included. All of the patients were taken to the Cath lab for diagnostic coronary angiography and possible percutaneous intervention. Demographic and clinical characteristics, angiographic features, and in-hospital outcomes were compared between ACS patients with and without COVID-19. Results: A total of 4027 COVID-19 negative patients, and 80 COVID-19 positive were included. Total of 83% in COVID-19 and 88% in non-COVID-19 group had ST elevation myocardial infarction. Majority of the COVID-19 positive patients had sub-optimal TIMI flow grade (<III) post procedure and had a high thrombus burden (11.2% vs. 2.9%;p<0.001). Majority of the patients who had COVID-19 and ACS required mechanical circulatory support (48.8% vs. 0.3%;p<0.001). The mortality rates were also higher in COVID-19 positive group (38.8% vs. 1.3%;p<0.001). Among the COVID-19 positive patients 66.3% (53) had high thrombus burden (≥4 grade), intervention was performed in 73.7% (59). Post-intervention myocardial blush grade ≤2 was observed in 57.6% (34), slow flow in 85.3% (29), and phasic flow possibly due to elevated LVEDP in 41.2% (14) patients. Conclusion: COVID-19 patients with ACS had a higher severity of illness at presentation and worse outcomes as compared to simultaneously presenting non-COVID patients. © 2023 The authors.
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This paper provide a general overview on different kinds of mining categorical covid-19 data Using Chi-Square and Logistic Regression Algorithms. Our study methodology are categorized into three steps, the first one is data preprocessing feature extraction approaches, the second is feature selection by using chi-square approach,and finally classification by using Logistic Regression Algorithm approaches. Some techniques are illustrated in details while the others with general explanation. In this research we used two datasets (dataset1 dataset2) in order to test and train our program. The final result after applying chi-square and logistic regression algorihm to the aforementioned data set, the category of each input case will be determines by the likelihood of belonging to one of the two categories in the data set. © 2023 Author(s).
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The canteen is the public place that sells and serves foods and drinks to the consumer. The study aimed to determine the attributes considered important for the consumer to select the food vendor during the COVID-19 pandemic at the BINUS University, Alam Sutera Campus canteen. The study was conducted by using conjoint analysis in which respondents were Bina Nusantara University students (n = 100) who had visited and consumed food in the canteen of BINUS University, Alam Sutera Campus. The results showed that the COVID-19 pandemic changed the crucial attributes for the consumer to select the food vendor. Nowadays, the attributes with the highest to the lowest importance values are personal hygiene, environmental sanitation, price, and food freshness. Therefore, the respondent will consider buying food from food vendors that promote their staff's hygiene, such as wearing masks, gloves, head covering, and washing hands. Besides, the respondents preferred the food vendor with a clean display window, within the price of 20.000 – 25.000 IDR, and freshly-cooked food.
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The growth of the urban population and their mobility, added with the COVID-19 pandemic and its impacts, requires the capability to anticipate uncertainties. As a developing country, Indonesia has progressed with many developments in urban mobility, but at the same time, challenges still may affect its future, particularly in a metropolitan like Jakarta. Despite the widely understood challenges faced by the metropolitan, there has been limited understanding about its possible futures of mobility and the ways to go in its respective future. A multi-stakeholder scenario planning was used to develop future scenarios of urban mobility in Jakarta Metropolitan Area (JMA), utilizing stakeholders' point of views regarding the driving forces and critical uncertainties that may shape the future of mobility to create action-oriented strategies to achieve the desired future. A medium-term time scale of ten years (2021–2030) was used to give viable and practical recommendations. Four scenarios were developed, which consisted of: 1) one seamless ecosystem, 2) the culture of public transportation, 3) the exclusive green community, and 4) the social dilemma of public versus private transportation, which emphasized the forms of mobility that would dominate in the next ten years. With implications of each scenario explained from several aspects, six efforts should be considered to direct the future of mobility in Jakarta Metropolitan Area: vehicle electrification, limitation of fossil fuel vehicles and broader use of public transportation, implementation of MaaS and TOD, commuters' behavior changes with push and pull policies, and boosting funding for mobility facilities. © 2023 The Author(s)
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BACKGROUND: All pregnant women in labor should be universally screened for Coronavirus Disease 2019 (COVID-19) during pandemic periods using Reverse Transcriptase Polymerase Chain Reaction (RT-PCR) test. In many low-middle income countries, screening method was developed as an initial examination because of limited availability of RT-PCR tests. This study aims to evaluate the screening methods of COVID-19 accuracy in pregnant women. METHODS: We recruited all pregnant women with suspicion of COVID-19 from April - August 2020 at Universitas Airlangga hospital, Surabaya, Indonesia. The participant was divided into two groups based on RT-PCR results: COVID-19 and non-COVID-19 group. The proportion of positive signs & symptoms, rapid antibody test, abnormal findings in chest x-ray, and neutrophil to lymphocyte ratio (NLR) value were then compared between both groups. The sensitivity, specificity, positive predictive value (PPV), negative predictive values (NPV), and diagnostic accuracy (DOR) were calculated. RESULTS: A total 141 pregnant women with suspected COVID-19 cases were recruited for this study. This consist of 62 COVID-19 cases (43.9%) and 79 non COVID-19 pregnant women (56.1%). The sensitivity, spesificity, PPV, NPV, and diagnostic accuracy of each parameter are as follow: clinical sign & symptoms (24.19%, 75.95%, 3.92%, 96.11%, 65.87%), rapid antibody test (72.73%, 35.06%, 4.35%, 96.94%, 36.53%), chest x-ray (40.68%, 59.45%, 3.92%, 96.11%, 58.76%), and NLR > 5.8 (41.38%, 72%, 5.66%, 96.80%, 70.81%). CONCLUSIONS: The use of combined screening methods can classify pregnant women with high-risk COVID-19 before definitively diagnosed with RT-PCR. This practice will help to reduce RT-PCR need in a limited resources country.
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This chapter discusses our response to COVID-19 as administrators of an English placement test at a well-resourced US university and the effects our technological and administrative modifications had on the fairness of the exam. The English Placement Test (EPT) at Iowa State University is given each term to incoming non-native English-speaking students to identify those needing additional instruction in using English for academic purposes. Due to the pandemic, the EPT – which consists of both a written and oral communication component – went from being administered in-person to being delivered remotely online. In this chapter, we describe each component first in its original, in-person form, and next with respect to the modifications that allowed testing during the pandemic. We then discuss the fairness issues these modifications gave rise to with regard to construct representation, test security, and testing conditions. We also highlight the ongoing fairness-related tensions that have arisen throughout this endeavour. © 2023 selection and editorial matter, Karim Sadeghi;individual chapters, the contributors.
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Under the influence of neo-liberalism and marketization, education is increasingly becoming more content-focused than character one. Ignoring the fact that money, science, and technology may take a person to the moon, these are ethical and moral values that take him/her to the even loftier heights of humanity. Recent COVID-19-driven focus on information and communication technology (ICT) and digital learning have further added to these woes by focusing more on human-machine interaction than human-human ones. Traditional models for inculcating these values through education which heavily rely on the physical presence of teachers do not seem to work in these circumstances. This demands a model for inculcating these values in learning management systems/ e-learning platforms. This study contributes in this regard by first identifying key players and factors, and then proposing a model for it. Using the Delphi model, it gathers opinions from 59 experts in two rounds. Academic institutions, society and online community members, teachers, and e-contents were identified as key factors and players. It suggests a holistic approach-based model through which all of them play their role and collaborate through an e-learning platform. That platform can be used to disseminate information, create awareness, monitor, and report the e-learners. It uses pull and push strategies to help the e-learners to develop those values. © 2023 The Author(s).
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Globally, the novel corona virus infection has continued to witness a growing number of cases since December 2019 when the outbreak was discovered and noted in China. Despite this has not been well studied for the case of COVID-19, human contact, public moveableness and environmental variables could have an impact onairborne'spropagation and virus continuance, such as influenza virus. This study aimed to determine the seasonal variation and geographical distribution of COVID-19 across Nigeria. An internet based archival research design was employed for this study on the seasonal variation and geographical distribution of COVID-19 across Nigeria. This involved the use of goggle mobility data and world map on Corona Virus Infection (COVID-19). The search strategy for getting information for this research was done electronically. The keywords in the case search using the goggle mobility software was "COVID-19 Update”, "COVID-19 Update in Nigeria”, ‘COVID-19 Winter Report', "COVID-19 Case Fatality March 2020–July 2021”, "COVID-19 Case Fatality in Nigeria”. The data gotten from the goggle motor updates were entered into Statistical Package for the Social Sciences (SPSS) which was used in the analysis of the study. Results from the study, reported that official COVID-19 cases number was significantly higher in the Dry season (October 2020–April 2021) with 59.0% (127,213) compared to 41.0% (85,176) in the wet/rainy season (May–September) it revealed that the dry and rainy seasons had a COVID-19 prevalence of 0.063 and 0.041 respectively. Further results from the study showed that the prevalence of COVID-19 was 0.07% in the North-Central, 0.04% in both the North-East and North-West, 0.03% in the South-West, 0.09% in the South-South, and the highest prevalence of 0.16% in the South-East. Considering the case Fatality rate of COVID-19 during the Dry and Wet Seasons. The study revealed that North-Central had a death toll of 196 (10.4%) out of 9457 confirmed COVID-19 cases hence a fatality of 2.07. Fatality rate of 1.49% in South western Nigeria, South-South Nigeria, 1.49%, South-East accounted to a fatality rate of 1.25%. Nigeria based on the finding of this study records increased fatality in Dry season over wet seasons. The study concluded that prevalence of COVID-19 varies in seasons in Nigeria Hence;further Data and Meteorological analysis on weather variations towards the SARS-CoV-2 Virus spread should be evaluated by future researchers. It is imperative to ensure strict and controlled application of social measures, such as social distancing, mandatory wearing of non-medical masks to prevent droplets from entering the respiratory tract, screening of affected patients along with quarantine is essential to defeat and improve infection control.
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A cognitive, objective, and subjective evaluation of the judgment of one's perspective of looking at life defines as life satisfaction and happiness. There is a strong association between life satisfaction, joy, and external parameters, including environmental and socioeconomic factors and green innovation technologies. Marx's theory on life satisfaction provides an exciting insight and defines that economic resources are necessary to live comfortably. The core objective of this paper is to examine the effects of contributing parameters concerning life satisfaction and happiness (LSH) in China from 2005 to 2020. For this purpose, data collected for the dependent variable collect World Happiness Index and World Bank official website. Nine independent variables related to LSH discuss freedom to make life choices (FMLC);GDP growth;Social contribution (SC);Employment rate (ER);Social support (SS);Innovation and development (ID);Life expectancy (LE);Coverage of social safety (CSS);High qualification (HQ). The maximum LSH value is 5.77, with a mean value of 5.13. The highest coefficient correlation value with LSH is CO2, with a positive correlation coefficient value of 0.80, followed by GDPG, with a negative coefficient value of 0.80. PC1 explains 76.74% of results, whereas MLR produces 0.91 R2 (p-value: 0.093, Residual standard error: 0.181). There is a need to understand correlates and determinants in further detail to set up a framework that enables policy-makers to incorporate well-being and life satisfaction measures in carving new public policies. © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
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OBJECTIVE: To characterise paediatric poisoning presentations to EDs and determine if the advent of the COVID-19 pandemic was associated with increased intentional paediatric poisoning presentations. METHODS: We performed a retrospective analysis of paediatric poisoning presentations to three EDs (two regional and one metropolitan). Simple and multiple logistic regression analysis were performed to determine the association between COVID-19 and intentional poisoning events. In addition, we calculated the frequency with which patients reported various psychosocial risk factors as being an implicating factor in engaging in an intentional poisoning event. RESULTS: A total of 860 poisoning events met inclusion criteria during the study period (January 2018-October 2021), with 501 being intentional, and 359 unintentional. There was an increased proportion of intentional poisoning presentations during the COVID-19 pandemic (261 intentional and 218 unintentional in the pre-COVID-19 period vs 241 intentional and 140 unintentional during the COVID-19 period). In addition, we found a statistically significant association between intentional poisoning presentations and an initial COVID-19 lockdown (adjusted odds ratio 26.32, P < 0.05). 'The COVID-19 lockdown' or 'COVID-19' was reported to be implicating factor for psychological stress in patients who presented with intentional poisonings during the COVID-19 pandemic. CONCLUSIONS: Intentional paediatric poisoning presentations increased during the COVID-19 pandemic in our study population. These results may support an emerging body of evidence that the psychological strain of COVID-19 disproportionately impacts adolescent females.
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RNA-dependent RNA polymerase, also known as RdRp, is a possible therapeutic target that could be used to suppress the proliferation of RNA viruses such as SARS-CoV-2. This protein has two major functional sites (a) catalytic and (b) substrate entry, which regulate the natural substrate entry and its corresponding interaction with the protein. In this study, a computational drug design pipeline was applied to investigate potential inhibitors against SARS-CoV-2 RdRp from Lauraceae plants, and five top hits were selected based on the docked score (< -7 kcal/mol). The docking study suggested that the Glochidioboside had a minimum binding score of -7.8 kcal/mol. This compound showed total five hydrogen bonds while two of them were with catalytic residues Asp618 and Asp760. However, another compound, Sitogluside showed a binding score of -7.3 kcal/mol with four hydrogen bonds targeting three functional residues (Arg555, Ser759, and Asp760). Later, 100 ns explicit solvent molecular dynamics (MD) simulation was performed to evaluate the stability of the protein-ligand docked system. These compounds translocated their positions from the catalytic site to the substrate entry site, as observed in the MD simulation trajectory. However, translocation did not affect the binding strength of these compounds, and they retained the strong binding affinity (ΔG < -11.5 kcal/mol), estimated using the MM/GBSA method. In general, the findings of this study indicated the potential therapeutic compounds that may be used targeting SARS-CoV-2 RdRp. However, these compounds still need to be validated by experimentation in order to determine their inhibitory function.Communicated by Ramaswamy H. Sarma.
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INTRODUCTION: The COVID-19 pandemic has inevitably led to monumental challenges, and alcohol drinking and tobacco use have unlikely been spared. This cross-sectional survey reports on factors associated with an increase in alcohol drinking and tobacco use during the COVID-19 pandemic. METHODS: An online survey conducted in 2020, generated data from 14899 adults residing in 105 countries. Dependent variables were changes in alcohol drinking and tobacco use. Independent variables were age, sex, education level, job loss, lost or reduced wages, investment/retirement benefits, interrupted substance addiction care, and income level of the countries. Multilevel logistic regression analysis was computed to explore the associations between dependent and independent variables in adjusted models using the backward stepwise method. The probability of including or excluding a covariate was set at p(in)<0.05 and p(out)>0.1, respectively. RESULTS: Of the regular alcohol consumers (N=4401), 22.9% reported an increase in their alcohol drinking. Of the regular tobacco users (N=2718), 31% reported an increase in their tobacco use. Job loss (Alcohol: AOR=1.26; Tobacco: AOR=1.32) and lost/reduced wages (Alcohol: AOR=1.52; Tobacco: AOR=1.52) were associated with higher odds of increased alcohol drinking and tobacco use. Many interruptions to addiction care (AOR=1.75) were associated with higher odds of increased alcohol drinking. Whereas no interruption to addiction care was associated with lower odds of increased alcohol drinking (AOR=0.77). Also, none (AOR=0.66) or some (AOR=0.70) interruptions to addiction care were associated with lower odds of increased tobacco use. CONCLUSIONS: This global survey alludes to the unintended consequences of the current COVID-19 pandemic on alcohol drinking and tobacco use. It is critical that the strategies for emergency responses should include support to ameliorate the impact of financial distress and disruption in substance dependence treatment services.
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The COVID-19 pandemic has caused havoc all around the world. The causative agent of COVID-19 is the novel form of the coronavirus (CoV) named SARS-CoV-2, which results in immune system disruption, increased inflammation, and acute respiratory distress syndrome (ARDS). T cells have been important components of the immune system, which decide the fate of the COVID-19 disease. Recent studies have reported an important subset of T cells known as regulatory T cells (Tregs), which possess immunosuppressive and immunoregulatory properties and play a crucial role in the prognosis of COVID-19 disease. Recent studies have shown that COVID-19 patients have considerably fewer Tregs than the general population. Such a decrement may have an impact on COVID-19 patients in a number of ways, including diminishing the effect of inflammatory inhibition, creating an inequality in the Treg/Th17 percentage, and raising the chance of respiratory failure. Having fewer Tregs may enhance the likelihood of long COVID development in addition to contributing to the disease's poor prognosis. Additionally, tissue-resident Tregs provide tissue repair in addition to immunosuppressive and immunoregulatory activities, which may aid in the recovery of COVID-19 patients. The severity of the illness is also linked to abnormalities in the Tregs' phenotype, such as reduced expression of FoxP3 and other immunosuppressive cytokines, including IL-10 and TGF-beta. Hence, in this review, we summarize the immunosuppressive mechanisms and their possible roles in the prognosis of COVID-19 disease. Furthermore, the perturbations in Tregs have been associated with disease severity. The roles of Tregs are also explained in the long COVID. This review also discusses the potential therapeutic roles of Tregs in the management of patients with COVID-19.
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INTRODUCTION The COVID-19 pandemic has inevitably led to monumental challenges, and alcohol drinking and tobacco use have unlikely been spared. This cross-sectional survey reports on factors associated with an increase in alcohol drinking and tobacco use during the COVID-19 pandemic. METHODS An online survey conducted in 2020, generated data from 14899 adults residing in 105 countries. Dependent variables were changes in alcohol drinking and tobacco use. Independent variables were age, sex, education level, job loss, lost or reduced wages, investment/retirement benefits, interrupted substance addiction care, and income level of the countries. Multilevel logistic regression analysis was computed to explore the associations between dependent and independent variables in adjusted models using the backward stepwise method. The probability of including or excluding a covariate was set at p(in)<0.05 and p(out)>0.1, respectively. RESULTS Of the regular alcohol consumers (N=4401), 22.9% reported an increase in their alcohol drinking. Of the regular tobacco users (N=2718), 31% reported an increase in their tobacco use. Job loss (Alcohol: AOR=1.26;Tobacco: AOR=1.32) and lost/reduced wages (Alcohol: AOR=1.52;Tobacco: AOR=1.52) were associated with higher odds of increased alcohol drinking and tobacco use. Many interruptions to addiction care (AOR=1.75) were associated with higher odds of increased alcohol drinking. Whereas no interruption to addiction care was associated with lower odds of increased alcohol drinking (AOR=0.77). Also, none (AOR=0.66) or some (AOR=0.70) interruptions to addiction care were associated with lower odds of increased tobacco use. CONCLUSIONS This global survey alludes to the unintended consequences of the current COVID-19 pandemic on alcohol drinking and tobacco use. It is critical that the strategies for emergency responses should include support to ameliorate the impact of financial distress and disruption in substance dependence treatment services.
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In the backdrop of the recent covid-19 pandemic there is a renewed interest to understand the interlinkages between dirty and clean energies. In this regard, the study examines the co-movement structure between clean energy stocks and dirty energies before and during the covid-19 outbreak. The study analyses the interlinkages between the underlying markets by utilizing a vast sample of dirty energies namely crude oil, heating oil, gas oil, gasoline and natural gas, whereas clean energy sector is proxied by S&P Global clean energy index and Wilder Hill clean energy index. We make use of rolling window wavelet approach and wavelet coherence analysis to identify interdependencies between the clean energy stocks and dirty energies. The results exhibit weak linkages between clean energy equities and dirty energies in the short-run, while;we also record few occasions of high co-movements among dirty and clean energy markets in the long-run. Noticeably, a distinct decoupling effect persisted between dirty and clean energy markets. In addition, the findings also illustrate that clean energy market is relatively isolated from dirty energies during the recent pandemic crisis, amplifying portfolio diversification benefits across clean and dirty energy markets. The findings of the study hold meaningful insights for investors, policy makers and other market participants in energy financial markets.
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Globally, the novel corona virus infection has continued to witness a growing number of cases since December 2019 when the outbreak was discovered and noted in China. Despite this has not been well studied for the case of COVID-19, human contact, public moveableness and environmental variables could have an impact onairborne'spropagation and virus continuance, such as influenza virus. This study aimed to determine the seasonal variation and geographical distribution of COVID-19 across Nigeria. An internet based archival research design was employed for this study on the seasonal variation and geographical distribution of COVID-19 across Nigeria. This involved the use of goggle mobility data and world map on Corona Virus Infection (COVID-19). The search strategy for getting information for this research was done electronically. The keywords in the case search using the goggle mobility software was "COVID-19 Update", "COVID-19 Update in Nigeria", 'COVID-19 Winter Report', "COVID-19 Case Fatality March 2020-July 2021", "COVID-19 Case Fatality in Nigeria". The data gotten from the goggle motor updates were entered into Statistical Package for the Social Sciences (SPSS) which was used in the analysis of the study. Results from the study, reported that official COVID-19 cases number was significantly higher in the Dry season (October 2020-April 2021) with 59.0% (127,213) compared to 41.0% (85,176) in the wet/rainy season (May-September) it revealed that the dry and rainy seasons had a COVID-19 prevalence of 0.063 and 0.041 respectively. Further results from the study showed that the prevalence of COVID-19 was 0.07% in the North-Central, 0.04% in both the North-East and North-West, 0.03% in the South-West, 0.09% in the South-South, and the highest prevalence of 0.16% in the South-East. Considering the case Fatality rate of COVID-19 during the Dry and Wet Seasons. The study revealed that North-Central had a death toll of 196 (10.4%) out of 9457 confirmed COVID-19 cases hence a fatality of 2.07. Fatality rate of 1.49% in South western Nigeria, South-South Nigeria, 1.49%, South-East accounted to a fatality rate of 1.25%. Nigeria based on the finding of this study records increased fatality in Dry season over wet seasons. The study concluded that prevalence of COVID-19 varies in seasons in Nigeria Hence; further Data and Meteorological analysis on weather variations towards the SARS-CoV-2 Virus spread should be evaluated by future researchers. It is imperative to ensure strict and controlled application of social measures, such as social distancing, mandatory wearing of non-medical masks to prevent droplets from entering the respiratory tract, screening of affected patients along with quarantine is essential to defeat and improve infection control.
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Introduction: COVID-19 is an infectious disease caused by the SARS-CoV-2, which severely affects the morbidity of people living with non-communicable diseases. Therefore, the Herbal Medicine Research Centre, Institute for Medical Research has taken the initiative to search for plant extracts and phytoconstituents with potential anti-SARS-CoV-2 properties in vitro. Material(s) and Method(s): The antiviral activities of potential plant-derived candidates against SARS-CoV-2 infection in Vero-E6 cells were assessed. The two steps viral induced-cytopathic effect (CPE) screening approach was used. Firstly, the SARS-CoV-2 was exposed with single doses (10 mug/mL or muM) of plant extracts and compounds after which the extracts and compounds with >=20% viral inhibitory activities were evaluated for dose-response antiviral activities. The dose-response antiviral activity for each extract and compound was quantitatively analyzed via a dose response curve using the Graphpad Prism software. Result(s) and Conclusion(s): From more than 60 plant extracts and compounds screened against the SARS-CoV-2 infection in vitro, at single dose exposure, 8 plant extracts and compounds showed >20% inhibition. Dose response analysis identified three plant extracts and one compound with potent antiviral activity (EC50<=10 mug/mL or muM) and high selectivity (SI>=10) towards the SARS-CoV-2. One of the extracts with potent anti-SARS-CoV-2 activity was derived from the E. longifolia plant, a Malaysian medicinal plant. Further evaluation on the efficacy of this plant's extract and compounds in SARS-CoV-2 infected human lung cells and a COVID- 19 animal model is warranted.
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The epidemiological and clinical aspects of coronavirus disease-2019 (COVID-19) have been subjected to several investigations, but little is known about symptomatic patients with negative SARS-CoV-2 PCR results. The current study investigated patients who presented to the hospital with respiratory symptoms (but negative SARS-CoV-2 RT-PCR results) to determine the prevalence of bacterial pathogens among these patients. A total of 1246 different samples were collected and 453 species of bacterial pathogens were identified by culture. Antibiotic susceptibility testing was performed via the Kirby Bauer disc diffusion test. Patients showed symptoms, such as fever (100%), cough (83%), tiredness (77%), loss of taste and smell (23%), rigors (93%), sweating (62%), and nausea (81%), but all tested negative for COVID-19 by PCR tests. Further examinations revealed additional and severe symptoms, such as sore throats (27%), body aches and pain (83%), diarrhea (11%), skin rashes (5%), eye irritation (21%), vomiting (42%), difficulty breathing (32%), and chest pain (67%). The sum of n = 1246 included the following: males, 289 were between 5 and 14 years, 183 (15-24 years), 157 (25-34 years), 113 (35-49 years), and 43 were 50+ years. Females: 138 were between 5 and 14 years, 93 (15-24 years), 72 (25-34 years), 89 (35-49 years), and 68 were 50+ years. The Gram-positive organisms isolated were Staphylococcus aureus (n = 111, 80.43%, MRSA 16.6%), E. faecalis (n = 20, 14.49%, VRE: 9.4%), and Streptococcus agalactiae (n = 7, 5.07%), while, Gram-negative organisms, such as E. coli (n = 135, 42.85%, CRE: 3.49%), K. pneumoniae (n = 93, 29.52%, CRE: 1.58%), P. aeruginosa (n = 43, 13.65%), C. freundii (n = 21, 6.66%), Serratia spp. (n = 8, 2.53%), and Proteus spp. (n = 15, 4.76%) were identified.