scholarly journals First Case Of SAR-Coronavirus-2 Sequencing In The Cerebrospinal Fluid Of A Patient With Suspected CNS Demyelinating Disease

2020 ◽  
Author(s):  
Renan Domingues ◽  
Maria Cássia Mendes-Correa ◽  
Fernando Brunale Vilela de Moura Leite ◽  
Ester Cerdeira Sabino ◽  
Ingra M Claro ◽  
...  
Keyword(s):  
Cerebrospinal Fluid ◽  
Viral Genome ◽  
Demyelinating Disease ◽  
Clinically Isolated Syndrome ◽  
The Novel ◽  
Upper Respiratory Tract ◽  
First Case ◽  
Demyelinating Lesions ◽  
Upper Respiratory ◽  
Novel Coronavirus

Abstract The association between coronaviruses and central nervous system (CNS) demyelinating lesions has been previously shown. However, no case has been described of an association between the novel coronavirus (SARS-COV-2) and CNS demyelinating disease so far. SARS-COV-2 was previously detected in cerebrospinal fluid (CSF) sample of a patient with encephalitis. However, the virus identity was not confirmed by deep sequencing of SARS-COV-2 detected in the CSF. Here, we report a case of a patient with mild respiratory symptoms and neurological manifestations compatible with Clinically Isolated Syndrome. The viral genome of SARS-COV-2 was detected and sequenced in CSF with 99.74 to 100% similarity between the patient virus and worldwide sequences. This report suggests a possible association of SARS COV-2 infection with neurological symptoms of demyelinating disease, even in the absence of relevant upper respiratory tract infection signs.

Cerebrospinal fluid shunt infection due to Gemella haemolysans

2013 ◽  
Vol 11 (2) ◽  
pp. 205-209 ◽  
Author(s):  
William B. Lo ◽  
Mitul Patel ◽  
Guirish A. Solanki ◽  
Anthony Richard Walsh
Keyword(s):  
Cerebrospinal Fluid ◽  
Shunt Infection ◽  
Cns Infection ◽  
Upper Respiratory Tract ◽  
Cerebrospinal Fluid Shunt ◽  
Gram Staining ◽  
First Case ◽  
Full Neurological Recovery ◽  
Upper Respiratory ◽  
Ventriculoperitoneal Shunt Infection

Gemella haemolysans has long been considered a commensal in the human upper respiratory tract. Commensals are natural inhabitants on or within another organism, deriving benefit without harming or benefiting the host. Opportunistic infection of the CNS by the species is exceedingly rare. In the present case, a 16-year-old boy was admitted with a ventriculoperitoneal shunt infection, which was confirmed to be due to G. haemolysans. Following antibiotic treatment, removal of the old shunt, and delayed insertion of a new shunt, the patient made a full neurological recovery. To the authors' knowledge, this is the eighth case of CNS infection with G. haemolysans. Although prosthesis-related infections have been reported in other systems, this is the first case of CNS infection by the bacterium associated with an implant. Previous reported cases of CNS infection by G. haemolysans are reviewed. Due to the variable Gram staining property of the organism, the difficulty in diagnosing G. haemolysans infection is emphasized.

scholarly journals Modeling and Forecasting of COVID-19 Spreading by Delayed Stochastic Differential Equations

Axioms ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 18
Author(s):  
Marouane Mahrouf ◽  
Adnane Boukhouima ◽  
Houssine Zine ◽  
El Mehdi Lotfi ◽  
Delfim F. M. Torres ◽  
...  
Keyword(s):  
Real Data ◽  
Economic Damage ◽  
Population Parameter ◽  
The Novel ◽  
First Case ◽  
Epidemiological Trend ◽  
Modeling And Forecasting ◽  
Novel Coronavirus ◽  
Parameter Values ◽  
Stochastic Time

The novel coronavirus disease (COVID-19) pneumonia has posed a great threat to the world recent months by causing many deaths and enormous economic damage worldwide. The first case of COVID-19 in Morocco was reported on 2 March 2020, and the number of reported cases has increased day by day. In this work, we extend the well-known SIR compartmental model to deterministic and stochastic time-delayed models in order to predict the epidemiological trend of COVID-19 in Morocco and to assess the potential role of multiple preventive measures and strategies imposed by Moroccan authorities. The main features of the work include the well-posedness of the models and conditions under which the COVID-19 may become extinct or persist in the population. Parameter values have been estimated from real data and numerical simulations are presented for forecasting the COVID-19 spreading as well as verification of theoretical results.

scholarly journals Smell disorders associated with COVID-19 infection

2021 ◽  
Vol 37 (1) ◽  
Author(s):  
Mohammad Waheed El-Anwar ◽  
Sherif Mamdoh Mohamed ◽  
Ahmed Hassan Sweed
Keyword(s):  
Web Of Science ◽  
Cochrane Library ◽  
Upper Respiratory Tract ◽  
Nasal Blockage ◽  
Runny Nose ◽  
Red Flag ◽  
Upper Respiratory ◽  
Novel Coronavirus ◽  
Smell Disorders ◽  
Smell Identification

Abstract Background We performed a search in the PubMed databases, Web of Science, LILACS, MEDLINE, SciELO, and Cochrane Library using the keywords COVID-19, Novel coronavirus, corona, 2019-nCoV, SARS-CoV-2, ENT, nose, anosmia, hyposmia, smell, olfactory, ORL, different ENT related symptoms. We reviewed published and peer-reviewed studies that reported the ENT manifestations in COVID-19 laboratory-confirmed positive patients. Main text Within the included 2549 COVID-19 laboratory-confirmed positive patients, smell affection was reported in 1453 patients (57%). The other reported ENT manifestations were taste disorder (49.2%), headache (42.8%), nasal blockage (26.3%), sore throat (25.7%), runny nose or rhinorrhea (21.3%), upper respiratory tract infection (URTI) (7.9%), and frequent sneezing (3.6%). Conclusion Smell affection in COVID-19 is common and could be one of the red flag signs in COVID-19 infection. With a sensitivity of utilized questionnaire in smell identification, a homogenous universal well-defined COVID-19 questionnaire is needed to make the COVID-19 data collection more sensible.

scholarly journals Epstein-Barr Virus Versus Novel Coronavirus-Induced Hemophagocytic Lymphohistocytosis: The Uncharted Waters

2020 ◽  
Vol 8 ◽  
pp. 232470962095010 ◽  
Author(s):  
Rawan Amir ◽  
Asim Kichloo ◽  
Jagmeet Singh ◽  
Ravinder Bhanot ◽  
Michael Aljadah ◽  
...  
Keyword(s):  
Bacterial Infections ◽  
Epstein Barr Virus ◽  
Genetic Mutations ◽  
High Grade ◽  
The Novel ◽  
Barr Virus ◽  
First Case ◽  
Epstein Barr ◽  
Virus Versus ◽  
Novel Coronavirus

Hemophagocytic lymphohistocytosis (HLH) is a hyperinflammatory syndrome characterized by fever, hepatosplenomegaly, and pancytopenia. It may be associated with genetic mutations or viral/bacterial infections, most commonly Epstein-Barr virus (EBV) and cytomegalovirus. As for the novel coronavirus, severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), also known as COVID-19 (coronavirus disease-2019), the cytokine storm it triggers can theoretically lead to syndromes similar to HLH. In this article, we report a case of a 28-year-old female who presented with high-grade fevers, found to have both SARS-CoV-2 and EBV infections, and eventually began to show signs of early HLH. To our knowledge, this is the first case reported in literature that raises the possibility of SARS-CoV-2–related HLH development.

scholarly journals Web Application for Statistical Tracking and Predicting the Evolution of Active Cases with the Novel Coronavirus (SARS-CoV-2)

2021 ◽  
pp. 70-74
Author(s):  
Iulia Clitan ◽  
◽  
Adela Puscasiu ◽  
Vlad Muresan ◽  
Mihaela Ligia Unguresan ◽  
...  
Keyword(s):  
Neural Network ◽  
Mathematical Model ◽  
Web Application ◽  
Point Of View ◽  
The Novel ◽  
End User ◽  
First Case ◽  
Novel Coronavirus ◽  
Second Wave ◽  
Over Time

Since February 2020, when the first case of infection with SARS COV-2 virus appeared in Romania, the evolution of COVID-19 pandemic continues to have an ascending allure, reaching in September 2020 a second wave of infections as expected. In order to understand the evolution and spread of this disease over time and space, more and more research is focused on obtaining mathematical models that are able to predict the evolution of active cases based on different scenarios and taking into account the numerous inputs that influence the spread of this infection. This paper presents a web responsive application that allows the end user to analyze the evolution of the pandemic in Romania, graphically, and that incorporates, unlike other COVID-19 statistical applications, a prediction of active cases evolution. The prediction is based on a neural network mathematical model, described from the architectural point of view.

scholarly journals Epidemiological Features of the Incidence of COVID-19 in Moscow in the Period from March 1 to August 31, 2020

2021 ◽  
pp. 57-62
Author(s):  
AV Ivanenko ◽  
DV Soloviev ◽  
NA Volkova ◽  
VM Glinenko ◽  
OA Smirnova ◽  
...  
Keyword(s):  
Statistical Significance ◽  
High Rate ◽  
The Novel ◽  
Upper Respiratory Tract ◽  
Epidemiological Features ◽  
Student’S T ◽  
Novel Coronavirus ◽  
Tract Infections ◽  
The City ◽  
Spearman’S Correlation

Introduction: Coronavirus (SARS-CoV-2) infection is a global healthcare and social problem due to a rapid ubiquitous spread of the virus, a high rate of complications and deaths. The disease is often asymptomatic, which can contribute to its spread, while the most common complication is the development of pneumonia with or without acute respiratory failure and respiratory distress syndrome, which are often fatal. These characteristics of the disease, along with the almost complete lack of immunity in the population around the world (before the mass spread), allowed SARS-CoV-2 to spread freely among the population of all countries. Our objective was to assess the epidemiological features of the incidence of the novel coronavirus disease (COVID-19) in the population of the city of Moscow. Materials and methods: We conducted a retrospective analysis of all confirmed COVID-19 cases, the total number of diagnostic tests for COVID-19, and the incidence of upper respiratory tract infections registered in Moscow from March 1 to August 31, 2020. The correlation analysis was performed by calculating the Spearman’s correlation coefficient and subsequent statistical significance of differences in the compared relative values (p) from the Student’s t-test. Confidence intervals were determined with the calculation of average errors of the compared variables – m(σ). Conclusion: The revealed features of the COVID-19 incidence in Moscow help establish the factors influencing the development of the epidemic process in the city and give an accurate prediction of the COVID-19 situation for the future.

scholarly journals Plasmacytoma of the Eyelid in an HIV-Positive Patient

2021 ◽  
pp. 1-2
Author(s):  
Ali Ramadan ◽  
◽  
Abiye Kassa ◽  
◽  
Keyword(s):  
Respiratory Tract ◽  
Paranasal Sinuses ◽  
English Literature ◽  
Positive Patient ◽  
Hiv Positive ◽  
Upper Respiratory Tract ◽  
First Case ◽  
Plasma Cell Neoplasms ◽  
Upper Respiratory ◽  
Histopathologic Findings

Extramedullary (extraosseous) plasmacytoma represents a rare disease that accounts for less 5% of plasma cell neoplasms. It commonly occurs in the upper respiratory tract, with 80% of cases involving the paranasal sinuses, nasopharynx, or nasal cavity. Plasmacytomas of the eyelid are very rare with only ten cases having been reported in the literature so far. We present the clinical and histopathologic findings from a case of plasmacytoma of the eyelid and discuss its histopathologic differential diagnoses. To our knowledge, this is the first case of plasmacytoma of the eyelid in an HIV-positive patient in the English literature

scholarly journals The Role of Herbal and Nutritional Treatments in the Fight against COVID-19 and Other Respiratory Tract Infections

2021 ◽  
Vol 18 (22) ◽  
pp. 12001
Author(s):  
Aline El Zakhem ◽  
May Annie Chalhoub ◽  
Maya Bassil
Keyword(s):  
Respiratory Tract Infections ◽  
Respiratory Infections ◽  
The Novel ◽  
Medical Treatments ◽  
Nutritional Interventions ◽  
Chinese Herbal ◽  
Upper Respiratory ◽  
Novel Coronavirus ◽  
Tract Infections

With the growing spread of COVID-19 worldwide, the appeal to alternative and nutritional therapies in conjunction with medical therapies has been heightened. This article aims to review studies assessing the roles of Chinese traditional medicine and nutrition in upper respiratory infections, including COVID-19. Various Chinese herbal protocols have been shown to fight respiratory infections, with several having been tested on the novel coronavirus. Additionally, promising findings have been reported when medical treatments were complemented with nutritional interventions. Supplementation with vitamins C and D, Zinc and Selenium are discussed, in addition to certain phytochemicals and food that also possess immunoregulatory and antiviral properties. Further clinical studies are needed to establish these alternative treatments as part of the management of emerging respiratory infections.

scholarly journals Characterizing Two Outbreak Waves of COVID-19 in Spain Using Phenomenological Epidemic Modelling

2021 ◽  
Author(s):  
Miguel López ◽  
Alberto Peinado ◽  
Andrés Ortiz
Keyword(s):  
Growth Model ◽  
Logistic Growth ◽  
Data Series ◽  
The Novel ◽  
Short Term ◽  
Growth Trend ◽  
Global Pandemic ◽  
First Case ◽  
Logistic Growth Model ◽  
Novel Coronavirus

AbstractSince the first case reported of SARS-CoV-2 the end of December 2019 in China, the number of cases quickly climbed following an exponential growth trend, demonstrating that a global pandemic is possible. As of December 3, 2020, the total number of cases reported are around 65,527,000 contagions worldwide, and 1,524,000 deaths affecting 218 countries and territories. In this scenario, Spain is one of the countries that has suffered in a hard way, the ongoing epidemic caused by the novel coronavirus SARS-CoV-2, namely COVID-19 disease. In this paper, we present the utilization of phenomenological epidemic models to characterize the two first outbreak waves of COVID-19 in Spain. The study is driven using a two-step phenomenological epidemic approach. First, we use a simple generalized growth model to fit the main parameters at the early epidemic phase; later, we apply our previous finding over a logistic growth model to that characterize both waves completely. The results show that even in the absence of accurate data series, it is possible to characterize the curves of case incidence, and even construct short-term forecast in the near time horizon.

scholarly journals The updates on Middle East Respiratory Syndrome coronavirus (MERS-CoV) epidemiology, pathogenesis, viral genome and currently available drugs

2016 ◽  
Vol 3 (2) ◽  
pp. 10-18 ◽  
Author(s):  
Surender Singh Jadav ◽  
Narayana Murthy Ganta ◽  
Anoop Kumar ◽  
Nirnoy Dan ◽  
Neha Padma Mohanty
Keyword(s):  
Middle East ◽  
Viral Genome ◽  
Development Process ◽  
Middle East Respiratory Syndrome ◽  
Respiratory Disorder ◽  
The Novel ◽  
Asian Countries ◽  
Epidemic Outbreak ◽  
The Family ◽  
Novel Coronavirus

The Middle East Respiratory Syndrome (MERS) is caused by the novel coronavirus belongs to the family Betacoronaviridae was first identified in Saudi Arabia during 2012. The first epidemic outbreak of the MERS-CoV has been started reporting in the South Korea and other Asian Countries. The disease was transmitted to humans to humans from the Middle East to other countries through travelling history. The MERS-CoV is responsible for the lower acute and severe respiratory disorder causes the shortness of breath along with fever and cough. The treatment for the disease is purely symptomatic and vaccination is not existed. In the present work we are tried to compile the epidemiology, pathogenesis, viral genome and currently available drugs. At the last the promising approaches for the drug design and development process has been presented.

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