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Background: The infection that caused the pneumonia, the virus known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the source of coronavirus disease 2019 (COVID-19) is the source of the global pandemic. The pneumonia cases began in Wuhan, China in December 2019 and had no apparent reason. Essential inflammatory mediators Chemokines are necessary for an immune response to eliminate pathogens. However, the fundamental cause of hyper inflammation is their excessive release. Chemokines may be directly responsible for the acute respiratory illness syndrome in the current COVID-19 outbreak. Objective: The current study aimed to estimate hematological changes with immunogenic markers CD177, GNLY, and CXCR4 gene expression in COVID-19 patients, and compare these parameters among patients and healthy individuals. Materials and Methods: the study was conducted at Al-Yarmouk Teaching Hospital and Medical Teaching Laboratories. Finally, to detect the immune markers level in samples of patients, by RT-PCR. Results: the results revealed the gene expression results in patients with COVID-19 means Ct difference of CD177 (24.70) fold more than (10.5) elevated when compared with the mean of Ct control healthy group is (28.21) fold of gene expression is 1.00 of CD177 when our study showed increased gene expression the mean of GNLY Ct receptor was reached to (28.70 ng/L) with fold more than 15.0 in COVID-19 patients, while mean Ct in healthy control was (32.61 ng/L) with fold 1.00, the current study found mean CT of CXCR4 gene expression (31.2) with fold (1.1) compared with healthy control CT(31.3) fold of gene expression was (1.0). Conclusion: It was concluded that COVID-19 caused significant changes in many immunological parameters and found the titer of immune markers was higher in infection compared with control. [ABSTRACT FROM AUTHOR]

The coronavirus pandemic originated in Wuhan, China, in December 2019 and swiftly spread worldwide, resulting in 1,813,811 deaths in 2020 and approximately 3,000,000 excess deaths. Amidst this crisis, Asians with Mongoloid features faced wrongful psychological and physical abuse globally due to unfounded accusations of spreading the virus. This discrimination extended to North Eastern Mongoloids in India, who suffered harassment from their compatriots. Interestingly, some Indians perpetrating such abuse within their country have themselves faced racial discrimination abroad, blamed for the spread of the Delta variant. This examination will explore the forms, nature, and scope of such racial harassment against Asian Mongoloids globally and North Eastern Mongoloids in India, drawing from various sources. It will critically analyze ethnocentric racial profiling, particularly of Mongoloid individuals, through the lens of biological diversity and the sociocultural framework of critical cultural relativism. [ABSTRACT FROM AUTHOR]

The coronavirus (COVID19), also known as the novel coronavirus, first appeared in December 2019 in Wuhan, China. After that, it quickly spread throughout the world and became a disease. It has significantly impacted our everyday lives, the national and international economies, and public health. However, early diagnosis is critical for prompt treatment and reducing trauma in the healthcare system. Clinical radiologists primarily use chest X-rays, and computerized tomography (CT) scans to test for pneumonia infection. We used Chest CT scans to predict COVID19 pneumonia and healthy scans in this study. We proposed a joint framework for prediction based on classical feature fusion and PSO-based optimization. We begin by extracting standard features such as discrete wavelet transforms (DWT), discrete cosine transforms (DCT), and dominant rotated local binary patterns (DRLBP). In addition, we extracted Shanon Entropy and Kurtosis features. In the following step, a Max-Covariance-based maximization approach for feature fusion is proposed. The fused features are optimized in the preliminary phase using Particle Swarm Optimization (PSO) and the ELM fitness function. For final prediction, PSO is used to obtain robust features, which are then implanted in a Support Vector Data Description (SVDD) classifier. The experiment is carried out using available COVID19 Chest CT Scans and scans from healthy patients. These images are from the Radiopaedia website. For the proposed scheme, the fusion and selection process accuracy is 88.6% and 93.1%, respectively. A detailed analysis is conducted, which supports the proposed system efficiency. [ABSTRACT FROM AUTHOR]

Severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) is the causative agent of COVID-19 which was detected in late 2019 in Wuhan, China. As of September 2022, there have been over 612 million confirmed cases of COVID-19 with over 6.5 million associated deaths. In many cases, anosmia and dysgeusia have been identified as primary symptoms of COVID-19 infection in patients. While the loss of smell (anosmia) and loss of taste (dysgeusia) due to COVID-19 infection is transient in most patients, many report that these symptoms persist following recovery. Understanding the pathogenesis of these symptoms is paramount to early treatment of the infection. We conducted a literature review of Google Scholar and PubMed to find and analyze studies discussing anosmia and dysgeusia in the context of COVID-19 to understand the progression and management of these symptoms. The mechanism for dysgeusia is largely unknown; however, pathogenesis of anosmia includes inflammation and cytokine release resulting from the infection that alters neuronal signaling, thus inducing the loss of smell that patients experience. Anosmia may be managed and potentially resolved sooner with a combination therapy of olfactory training and budesonide irrigation of the nasal cavity. It is important to note that the variants of SARS-CoV-2 are genetically distinguished from the original virion due to a mutation in their spike proteins, giving them a different symptom profile regarding anosmia and dysgeusia. This variability in symptomatology is an area of study that needs to be further explored. [ABSTRACT FROM AUTHOR]

In December 2019, an outbreak of novel beta-coronavirus started in Wuhan, China, spread globally as coronavirus disease 2019 (COVID-19) pandemic and is still underway. The causative agent for COVID-19 identified as a novel strain of beta coronavirus named nSARS-CoV-2. The nSARS-CoV-2 primarily targets the respiratory tract and results in severe acute respiratory distress (ARDS), leading to the collapse of the respiratory tract. The virus internalizes primarily via ACEII receptor, and many tissues reported a significant level of expression of ACEII receptor including lungs, hearts, kidneys, and gastrointestinal tract. The clinical manifestations of COVID-19 are diverse, but growing evidence suggests that gut dysbiosis is one of them and poses a threat to native immunity. The human microbial ecology plays a vital role in human physiology, including building immunity. The gastrointestinal tract (GIT) habitats trillions of beneficial microbes' precisely bacterial species synchronize with human physiology and remain symbiotic. On the contrary, harmful microbiota seeks an opportunity to break the equilibrium failure of balance between beneficial and detrimental human gut microbiota results in impaired physiology and immunity. The grown research evidence demonstrated that infection caused by the nSARS-CoV-2 result in moderate to severe diarrheal outcomes. The diarrheal conditions in COVID-19 patients are due to alteration of gut microbial ecology. The management of COVID-19 requires specialized therapeutics along with a series of nutraceuticals. Probiotics remain vital nutrient supplements in COVID-19 management, offer relief in diarrhea and improve/restore immunity. This study uses available data/findings to emphasize an association between COVID-19 and gut dysbiosis. The study also provides a scientific basis of impaired immunity during gut dysbiosis in COVID-19 and how probiotics help restore and improve impaired immunity and diarrhea. [ABSTRACT FROM AUTHOR]

In December 2019, novel severe acute respiratory syndrome coronavirus 2 (nSARS‐CoV‐2) virus outbreaks emerged from Wuhan, China, and spread all over the world, including India. Molecular diagnosis of Coronavirus Disease 2019 (COVID) 19 for densely and highly populated countries like India is time‐consuming. A few reports have described the successful diagnosis of nSARS‐CoV‐2 virus from sewage and wastewater samples contaminated with fecal matter, suggesting the diagnosis of COVID 19 from the same to raise an alarm about the community transmission of virus for implementation of evacuation and lockdown strategies. So far, the association between the detection of virus and its concentration in stool samples with severity of the disease and the presence or absence of gastrointestinal symptoms have been rarely reported. We led the search utilizing multiple databases, specifically PubMed (Medline), EMBASE, and Google Scholar. We conducted a literature survey on gastrointestinal infection and the spread of this virus through fecal–oral transmission. Reports suggested that the existence and persistence of nSARS‐CoV‐2 in anal/rectal swabs and stool specimens for a longer period of time than in nasopharyngeal swabs provides a strong tenable outcome of gastrointestinal contamination and dissemination of this infection via potential fecal–oral transmission. This review may be helpful to conduct further studies to address the enteric involvement and excretion of nSARS‐CoV‐2 RNA in feces and control the community spread in both COVID‐19 patients ahead of the onset of symptoms and in asymptomatic individuals through wastewater and sewage surveillance as an early indication of infection. The existence of the viral genome and active viral particle actively participate in genomic variations. Hence, we comprehended the enteric spread of different viruses amongst communities with special reference to nSARS‐CoV‐2. Highlights: The study concludes here that the faecal route of nSARS‐CoV2 not only enhances risk of infection and COVID19 cases but also contaminate water resources.The hospital and intensive care units (ICU) were reported with higher viral load and risk of nSARS‐CoV2 infections. These cases are not only due to aerosol‐based infections in contained area but also faecal material based infections as well.Poor hygiene and sanitation as primary concerns in low‐income nations are associated with higher risk of nSARS‐CoV2 infections and COVID19 cases.The faecal material provides an ideal habitat for viruses, including nSARS‐CoV2 for genetic variations and maturations that are associated with higher infections and pathogenecity.The water treatment strategies and approaches could be next level preventive measures to tackle spread of nSARS‐CoV2. Low income countries require much effort to control spread of nSARS‐CoV2 from faecal material and sewage water system driven infections. [ABSTRACT FROM AUTHOR]

Motivation: Since the identification of the novel coronavirus (SARS-CoV-2), the scientific community has made a huge effort to understand the virus biology and to develop vaccines. Next-generation sequencing strategies have been successful in understanding the evolution of infectious diseases as well as facilitating the development of molecular diagnostics and treatments. Thousands of genomes are being generated weekly to understand the genetic characteristics of this virus. Efficient pipelines are needed to analyze the vast amount of data generated. Here we present a new pipeline designed for genomic analysis and variant identification of the SARS-CoV-2 virus. Results: PipeCoV shows better performance when compared to well-established SARS-CoV-2 pipelines, with a lower content of Ns and higher genome coverage when compared to the Wuhan reference. It also provides a variant report not offered by other tested pipelines. [ABSTRACT FROM AUTHOR]

a group of RNA virus that mainly infect mammals and birds. There are some corona viruses that are capable of infecting human are 229E, OC43, HCoV-NL63, SARS-CoV, MERSCoV, HKU1 etc. COVID-19 is a new strain of corona originated from Wuhan, China in December, 2019. COVID-19 has club-shaped glycoprotein spikes in the envelope that gives the virus a crown-like appearance that help them in attacking and binding. Corona viruses infect the respiratory tract and cause various infections like high fever, sore throat, dry cough, respiratory problem etc. The virus is transmitted through coughing and sneezing. Despite of great efforts, there is no specific treatment of this disease. So, for now prevention and management are the best options. It has been reported that various treatments like Remdesivir, choloroquine etc. has been use to control it. Use of convalescent plasma transfusion has also shown some sort of success for COVID-19. Several vaccines have been being prepared for the treatment of COVID-19 and hope it may available soon. [ABSTRACT FROM AUTHOR]

Background: The outbreak of coronavirus disease 2019 (COVID-19) in the area of Wuhan, China, has evolved rapidly into a public health crisis. Despite having high standards of knowledge and practices, dental practitioners around the globe are in a state of anxiety or fear. Being on the list of high-risk professions, dentists are very much expected to develop stress due to the current pandemic situation indicating a need to evaluate the effect of COVID 19 on the psychological status of Indian dentists. Methodology: The data was collected through well-structured Google form from 500 dentists working in Delhi NCR. The entire form had two components. The first part of the form collected the information regarding the demographic profile of the dentists whereas the second part of questionnaire consisted of psychological evaluation using well established psychological scale DASS 21. Result: The results showed that 8% of Indian dentist showed signs of severe depression and 17% had moderate signs. 9% showed moderate and 13% showed mild anxiety. 8% showed severe stress and 24% had moderate signs of stress. Significant correlation was found between depression and anxiety with stress. Conclusion: Dentists are undergoing stress which in turn can have adverse effects on their physical and mental well-being in a long run. There is a need to evolve with the current COVID 19 pandemic and brainstorming the ways to encourage the safer practice and decrease the levels of depression, anxiety and stress among dentist. [ABSTRACT FROM AUTHOR]

Background: The novel coronavirus disease 2019 (COVID-19) was emergency turned into global public health after the first patients were detected in Wuhan, China, in December 2019. The disease rapidly expanded and led to an epidemic throughout China, followed by the rising number of cases worldwide. Given the high prevalence of COVID-19, rapid and accurate diagnostic methods are immediately needed to identify, isolate and treat the patients as soon as possible, decreasing mortality rates and the risk of public contamination by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).Methods: This case-control study was conducted in two hospitals in Alborz Province in Iran. All recruited cases in this study were symptomatic adults hospitalized as COVID-19 patients with compatible Computed tomographic (CT) scan findings and available rRT-PCR results. The patients were recruited in this study. The patients were categorized into positive and negative rRT-PCR groups and evaluated for symptoms, initial vital signs, comorbidity, clinical and laboratory findings. Finally, the results were assessed by SPSS software.Results: Between March 5 to April 5, 2020, 164 symptomatic COVID-19 patients were studied. In total, there were 111 rRT-PCR positive (67.6%) and 53 rRT-PCR negative patients (32.4%). In terms of statistics, the frequency of symptoms revealed no difference, except for cough (P.V:0.008), dizziness (PV: 0.048), and weakness (P.V:0.022). Among initial vital signs, PR (P.V:0.041) and O2 Saturation (PV: 0.014) were statistically different between the two groups. Evaluation of comorbidities revealed no difference except for hyperlipidemia (P.V:0.024). In the comparison of laboratory findings, only WBC count (PV: 0.001), lymphocyte count (PV: 0.001), and Hb (P.V:0.008) were statistically different between the two groups.Conclusion: In case of the negative rRT-PCR result, it is necessary to take a logical approach, and we recommended that the physician decides according to clinical manifestations, laboratory findings, and positive CT results. [ABSTRACT FROM AUTHOR]

Introduction: the new coronavirus (COVID-19) that emerged from Wuhan, Hubei Province of China in December 2019, causing severe acute respiratory syndrome (SARS) has fast spread across the entire globe, with most countries struggling to slow and reduce the spread of the virus through rapid screening, testing, isolation, case management, contact tracing, implementing social distancing and lockdowns. This has been shown to be a major factor in countries that have been successful in containing COVID-19 transmission. Early detection of cases is important, and the use of geospatial technology can support to detect and easily identify potential hotspots that will require timely response. The use of spatial analysis with geographic information systems (GIS) had proved to be effective in providing timely and effective solutions in supporting epidemic response and pandemics over the years. It has developed and evolved rapidly with a complete technological tool for representing data, model construction, visualization and platform construction among others. Methods: we conducted a geospatial analysis to develop a web mapping application using ArcMap and ArcGIS online to guide and support active case search of potential COVID-19 cases, within 500m radius of COVID-19 confirmed cases to improve detection and testing of suspected cases. Results: the web mapping application tool guides the active case search teams in the field, with clear boundaries on the houses to be visited within 500-meter radius of confirmed positive cases, to conduct active case search of all cases of severe acute respiratory illnesses (SARI), acute respiratory illnesses (ARI), pneumonia etc, to detect and test for COVID-19 towards containing the pandemic. Conclusion: the use of GIS and spatial statistical tools have become an important and valuable tool in decision-making and, more importantly, guiding health care professional and other stakeholders in the response being carried out in a more coherent and easy manner. It has proven to be effective in supporting the active case search process to rapidly detect, test and isolate cases during the process, towards containing the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

Copyright of Revista Latinoamericana de Hipertension is the property of Revista Latinoamericana de Hipertension and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Coronavirus disease 2019 (COVID-19), an infectious disease that primarily attacks the human pulmonary system, is caused by a viral strain called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The outbreak emerged from Wuhan, China, and later spread throughout the world. Until the first week of May 2020, over 3.7 million cases had been reported worldwide and more than 258,000 had died due to the disease. So far, off label use of various drugs has been tried in many clinical settings, however, at present, there is no vaccine or antiviral treatment for human and animal coronaviruses. Therefore, repurposing of the available drugs may be promising to control emerging infections of SARS-COV2; however, new interventions are likely to require months to years to develop. Glycopeptides, which are active against gram-positive bacteria, have demonstrated significant activity against viral infections including SARS-COV and MERS-COV and have a high resemblance of sequence homology with SARS-COV2. Recent in vitro studies have also shown promising activities of aglycon derivative of glycopeptides and teicoplanin against SARS-COV2. Hydrophobic aglycon derivatives and teicoplanin, with minimal toxicity to human cell lines, inhibit entry and replication of SARS-COV2. These drugs block proteolysis of polyprotein a/b with replicase and transcription domains. Teicoplanin use was associated with complete viral clearance in a cohort of patients with severe COVID-19 symptoms. This review attempts to describe the activity, elucidate the possible mechanisms and potential clinical applications of existing glycopeptides against corona viruses, specifically SARS-COV2. [ABSTRACT FROM AUTHOR]

The novel coronavirus disease 2019 (COVID-19) has developed into a global pandemic, with its early roots from Wuhan city in China. Many warring nations have placed forward maximum precautionary steps and tools to reduce transmission and decrease fatality rates. Infection control measures are required to prevent the infection and to avoid further spread of the virus and to help control the infection. Restrictive steps such as social distancing, lockdown, case identification, isolation, contact tracing and quarantine of exposed had identified the most effective efforts to monitor the spread of the disease. The risk of cross-infection between patients and dental practitioners may be high due to the characteristics of the dental settings. Strict and reliable guidelines on the prevention of infections are urgently needed for dental practices and hospitals in areas (potentially) affected by COVID-19. This article provides a detailed overview of general and relevant preventive interventions, methods and prevention of infections in the healthcare and public settings. [ABSTRACT FROM AUTHOR]

Copyright of Electronic Turkish Studies is the property of Electronic Turkish Studies and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The epidemic of coronavirus disease 2019 (COVID-19), originating in Wuhan, China, has become a major public health challenge for not only China but also countries around the world. The World Health Organization announced that the outbreak of the novel coronavirus have constituted a public health emergency of International concern. Infection control measures are necessary to prevent the virus from further spreading and to help control the epidemic situation. Due to the characteristics of dental settings, the risk of cross infection can be high between patients and dental practitioners. For dental practices and hospitals in areas that are (potentially) affected with COVID-19, strict and effective infection control protocols are urgently needed. This article, based on our experience and relevant guidelines and research, introduces essential knowledge about COVID-19 and nosocomial infection in dental settings and provides recommended management protocols for dental practitioners and students in (potentially) affected areas. [ABSTRACT FROM AUTHOR]

Objective: To assess the perspectives and health anxieties of gynecological and obstetric patients during COVID19 pandemic. Study Design: Cross-sectional study. Place and Duration of Study: This study was conducted in emergency and outpatient clinics of Gynecology and Obstetrics department Combined Military Hospital Rawalpindi, Pakistan from April to May 2020. Methodology: Two hundred and thirty patients participated in this study by answering a pre-designed questionnaire. All the patients were interviewed by the same doctor to minimize bias. Eleven questions were asked exploring their perspectives and anxieties regarding Novel COVID-19 pandemic, its effects on their healthcare and the challenges faced by the healthcare providers. Results: The mean age of the respondents was 33 ± 5.2 years. One hundred and sixty four (71.3%) were obstetric and 66 (34.8%) were gynecological patients. Undergraduate, postgraduate, and healthcare professionals were 78 (33.9%), 134 (58.3%) and 18 (7.8%) respectively. Two hundred and fourteen (93.03%) participants were aware of risk of COVID-19 pandemic and 140 (60.8%) knew about its adverse effects. One hundred and forty (62.5%) visited for regular antenatal. According to 196 (85.2%) had a good opinion about the attitude of the doctors and 216 (93.9%) were satisfied with their treatment. 186 (80.8%) had no apprehensions about the health workers protective gear but did consider hospital environment hazardous. Two hundred and six (89.5%) were not interested in revisiting the hospital again and 180 (78.2%) would not recommend it to their friends. Conclusion: Gynecological and obstetric patients have different opinion about risk, safety measurements, environmental condition, stress, and attitude of doctors during COVID-19 pandemic according to age and educational status. [ABSTRACT FROM AUTHOR]

Background: Since the outbreak of the COVID-19 pandemic, multiple efforts of modelling of the geo-temporal transmissibility of the virus have been undertaken, but none describes the pandemic spread at the global level. The aim of this research is to provide a high-resolution global model of the pandemic that overcomes the problem of biased country-level data on the number of infected cases. To achieve this we propose a novel SIR-type metapopulation transmission model and a set of analytically derived model parameters. We used them to perform a simulation of the disease spread with help of the Global Epidemic and Mobility (GLEAM) framework embedding actual population densities, commute patterns and long-range travel networks. The simulation starts on 17 November 2019 with the index case (presymptomatic, yet infectious) in Wuhan, China, and results in an accurate prediction of the number of diagnosed cases after 154 days in multiple countries across five continents. In addition, the model outcome shows high compliance with the results of a random screening test conducted on pregnant women in the New York area. Methods: We have built a modified SIR metapopulation transmission model and parameterized it analytically either by setting the values of the parameters based on the literature, or by assuming their plausible values. We compared our results with the number of diagnosed cases in twenty selected countries, ones which provide reliable statistics but differ substantially in terms of strength and speed of undertaken Non-Drug Interventions. The obtained 95% confidence intervals for the predictions are in agreement with the empirical data. Results: The parameters that successfully model the pandemic are: the basic reproduction number R0, 4.4; a latent non-infectious period of 1.1. days followed by 4.6 days of the presymptomatic infectious period; the probability of developing severe symptoms, 0.01; the probability of being diagnosed when presenting severe symptoms of 0.6; the probability of diagnosis for cases with mild symptoms or asymptomatic, 0.001. Discussion: Parameters that successfully reproduce the observed number of cases indicate that both R0 and the prevalence of the virus might be underestimated. This is in concordance with the newest research on undocumented COVID-19 cases. Consequently, the actual mortality rate is putatively lower than estimated. Confirmation of the pandemic characteristic by further refinement of the model and screening tests is crucial for developing an effective strategy for the global epidemiological crisis. [ABSTRACT FROM AUTHOR]

The Coronavirus epidemic first appeared in Wuhan-China on December, 31st, 2019. This has put the world's hospitals, clinics, testing laboratories and health administrations under pressure. As of April, 04th, 2020, the World Health Organization reported more than 167515 confirmed cases in more than 100 countries worldwide. The diagnosis of the epidemic will increase the burden on overburdened testing laboratories. Several screening methods have been proposed in parallel in order to facilitate and, above all, to make rapid diagnosis easier. At this level, X-Ray images seem to be a good accompanying solution for emerging countries to help rapid screening. The solution proposed in this paper consists on a collaborative and smart platform based on the Convolutional Neural Network for Classification and Detection namely VGG16. The platform ensures the fast download of the X-Ray image, with the entry of the patient's personal information followed by the launch of a 5 seconds test. The platform generates, as a result, a PDF file containing all patient information. [ABSTRACT FROM AUTHOR]

• A DCNN structure is proposed for detection of COVID-19 from chest X-ray images. • The DCNN structure comprises four pre-trained CNN networks. • The ensemble structure proposed is also evaluated on a private Chest X-ray dataset. • The performance is compared with other state-of-the-art architectures available. The year 2020 will certainly be remembered for the COVID-19 outbreak. First reported in Wuhan city of China back in December 2019, the number of people getting affected by this contagious virus has grown exponentially. Given the population density of India, the implementation of the mantra of the test, track, and isolate is not obtaining satisfactory results. A shortage of testing kits and an increasing number of fresh cases encouraged us to come up with a model that can aid radiologists in detecting COVID19 using chest Xray images. In the proposed framework the low level features from the Chest X-ray images are extracted using an ensemble of four pre-trained Deep Convolutional Neural Network (DCNN) architectures, namely VGGNet, GoogleNet, DenseNet, and NASNet and later on are fed to a fully connected layer for classification. The proposed multi model ensemble architecture is validated on two publicly available datasets and one private dataset. We have shown that our multi model ensemble architecture performs better than single classifier. On the publicly available dataset we have obtained an accuracy of 88.98% for three class classification and for binary class classification we report an accuracy of 98.58%. Validating the performance on private dataset we obtained an accuracy of 93.48%. The source code and the dataset are made available in the github link https://github.com/sagardeepdeb/ensemble-model-for-COVID-detection. [ABSTRACT FROM AUTHOR]

• Use Machine Learning models to predict the mortality of COVID19 patients. • Analyse patient case studies which may help in better personalised treatment. • Apply Shapley Values to interpret the Machine Learning models predictions. • Perform what-if analysis to see how patient mortality outcomes change. In this paper we apply a series of Machine Learning models to a recently published unique dataset on the mortality of COVID19 patients. We use a dataset consisting of blood samples of 375 patients admitted to a hospital in the region of Wuhan, China. There are 201 patients who survived hospitalisation and 174 patients who died whilst in hospital. The focus of the paper is not only on seeing which Machine Learning model is able to obtain the absolute highest accuracy but more on the interpretation of what the Machine Learning models provides. We find that age , days in hospital , Lymphocyte and Neutrophils are important and robust predictors when predicting a patients mortality. Furthermore, the algorithms we use allows us to observe the marginal impact of each variable on a case-by-case patient level, which might help practicioneers to easily detect anomalous patterns. This paper analyses the global and local interpretation of the Machine Learning models on patients with COVID19. [ABSTRACT FROM AUTHOR]

With the commencement of the COVID19 pandemic, following its 1st case reported in Wuhan in China, the knowledge about the virus as well as the symptoms produced by the disease have drastically increased to this day. The manifestations of COVID19 is now known to affect multiple organ systems of the body, which have shown to have acute as well as chronic complications. Histopathological analysis of the biopsies from the affected organs have implied a direct cytopathic effect of the virus but at the same time not ruling out other causes like hypoxia metabolic changes etc., occurring during the course of the disease. In this review article, we have highlighted the histopathological changes in various organs as reported by various studies throughout the world for a better understanding of the etiopathogenesis of COVID19. [ABSTRACT FROM AUTHOR]

In late December 2019, reports emerged from Wuhan, China of a novel corovonavirus SARS-CoV-2, which caused severe acute respiratory distress syndrome referred to as COVID-19. As the virus spread, reports of severe perioperative complications, including fatalities, began to emerge in the literature. We present a case of a previously healthy patient who developed classic symptoms of appendicitis. The patient was also found to be positive for COVID-19. Given the risks to both the patient and surgical team, we elected to pursue a non-operative management strategy for this patient with appendicitis. A 13 year old female with COVID-19 presented with a day of right lower quadrant abdominal pain. A computerized tomography (CT) scan diagnosed uncomplicated appendicitis. The patient was successfully treated non-operatively with antibiotics and discharged home. To our knowledge, this case illustrates the first report of a pediatric patient with concomitant appendicitis and COVID-19 infection. We have been able to utilize a non-operative management strategy to effectively treat the patient's acute appendicitis, while protecting her from the risks of undergoing a general anesthetic as well as the operative team. We hope this report can provide others with a potential management strategy for similar patients. [ABSTRACT FROM AUTHOR]