scholarly journals MO844COVID-19 PANDEMIC IN DIALYSIS PATIENTS IN SWITZERLAND

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Rebecca Winzeler ◽  
Patrice Max Ambühl
Keyword(s):  
Infectious Disease ◽  
Risk Factors ◽  
Dialysis Patient ◽  
European Countries ◽  
The Novel ◽  
Dialysis Patients ◽  
First Case ◽  
Male Sex ◽  
Novel Coronavirus ◽  
Associated Risk Factors

Abstract Background and Aims COVID-19 is an infectious disease that can result from infection with the novel coronavirus SARS-CoV-2. The disease, was first described in Wuhan at the end of 2019 and the first case in Switzerland was discovered in February 2020. This analysis gives an overview of dialysis patients in Switzerland that were tested COVID-19 positive. Method All dialysis centers reported their cases with COVID-19 to the Swiss dialysis registry srrqap. All patients reported to the registry between March 5 (1st dialysis patient with COVID-19) and June 30, 2020 were included in this analysis and comparisons were made with COVID-19-free dialysis patients (from 2019). Results On March 5, 2020, the first dialysis patient was infected with COVID-19 in Ticino. The number of infected dialysis patients increased rapidly over the months of March and April, with the majority of patients in the cantons of Vaud (23.5%), Ticino (22.3%) and Geneva (18.8%) and together making up almost 65% of the COVID-19-infected dialysis patients in Switzerland. COVID-19 cases represented 2.4% of all prevalent patients on dialysis (as of 31.12.2019). Twenty-seven (12 female, 15 male) out of 93 dialysis patients died, which corresponds to a mortality rate of 29%. Mortality was highest in patients from Switzerland (together with the Netherlands), and lowest in Romania with 8.5% (K. Jager and A. Kramer, submitted for publication, 2020). Mortality was associated with advanced age in dialysis patients. In contrast to the general population, male sex, diabetes and hypertension were no major risk factors for mortality in our cohort. Conclusion Although dialysis patients from Switzerland in general have a better survival compared to those from other European countries, infection with COVID-19 in Switzerland results in the highest mortality compared to other European countries in this population. In addition, male sex, diabetes and hypertension seem not to be associated risk factors in our dialysis population.

Potential of Selected Indian Herbs for COVID-19

2020 ◽  
Vol 06 ◽  
Author(s):  
Ravindra Verma ◽  
Vaibhav Misra ◽  
Dileep Tiwari ◽  
Prakash S. Bisen
Keyword(s):  
Risk Factors ◽  
Withania Somnifera ◽  
Epidemiologic Studies ◽  
Climatic Conditions ◽  
Tinospora Cordifolia ◽  
Environmental Threats ◽  
Scientific Databases ◽  
First Case ◽  
Ocimum Tenuiflorum ◽  
Novel Coronavirus

Introduction: Many environmental risk factors are associated with some form of chronic inflammation. The spread of COVID-19 across the world has impacted every one of us. The first case of coronavirus was reported on 30 January 2020 in India originating from China. Study Area: India has a tremendous capacity to deal with the coronavirus outbreak because of its high immunity and climatic conditions. Maintaining social distancing and hand washing is not a sufficient step for preventing COVID-19. Indian system of traditional medicine has a potential worth to enhance immunity, which can resist a novel coronavirus. Material & Methods: A detailed study was carried out by analyzing national and international scientific databases (PubMed, SciFinder, ScienceDirect, Scopus, and Web of Science, Mendeley), thesis, and recognized books. Only Indian herbs with high immunity resistant power were analyzed. Epidemiologic studies with information on COVID-19 risk factors and precautions also considered for study purposes. Results: Some herbs like Ocimum tenuiflorum (Tulsi), Glycyrrhiza glabra (Liquorice), Curcuma domestica Vahl (Turmeric), Tinospora cordifolia (Giloy), Withania somnifera (Ashwagandha), Cinnamon (Dalchini), Shoot of Triticumaestivum Linn. (Wheatgrass), Andrographis paniculata (Kalmegh), can help in boosting immunity for COVID-19 disease. Discussion: Despite the shreds of evidence for the efficacy of these herbs in treating coronavirus induced infections; the proper dose with ideal timing for such interventions needs to verify in clinical trials. Researchers must have to take the privilege to explore the potential of herbs to reduce such epidemics of environmental threats.

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 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 Vertical Transmission

2020 ◽  
Vol 41 (1) ◽  
pp. 2
Author(s):  
Dena Lyras
Keyword(s):  
Public Health ◽  
Infectious Disease ◽  
Vertical Transmission ◽  
Racial Groups ◽  
The Novel ◽  
Local Part ◽  
Rapid Dissemination ◽  
Novel Coronavirus ◽  
The Impact

As we begin 2020, Microbiology is dominating the news with the emergence and rapid dissemination of the novel coronavirus COVID-19. The impact of COVID-19 on public health, with significant financial, logistical and social repercussions, has quickly become apparent. As microbiologists we have an important role to play during this time because we can use our knowledge, expertise and experience to educate the community around us, and to reduce the panic that results from fear and misinformation. It is also critical that we ensure that racial groups are not stigmatised because of an infectious disease. A co-ordinated global effort is required to tackle this new infectious threat, and we are an important local part of this effort. It is also important to develop strategies that can be deployed when the next threat emerges, as it surely will.

scholarly journals Mortality and Associated Risk Factors in Dialysis Patients with Cardiovascular Disease

2016 ◽  
Vol 41 (4) ◽  
pp. 479-487 ◽  
Author(s):  
Junrong Tong ◽  
Manyi Liu ◽  
Hong Li ◽  
Zhengmao Luo ◽  
Xianyang Zhong ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Dialysis Patients ◽  
Associated Risk Factors

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 Controlling the cascade of corona

2020 ◽  
Vol 5 (3) ◽  
Author(s):  
Muneeba Azmat
Keyword(s):  
Public Health ◽  
The Novel ◽  
Limited Data ◽  
Press Releases ◽  
The Public ◽  
Health Measures ◽  
First Case ◽  
Pandemic Response ◽  
Potential Impact ◽  
Novel Coronavirus

The pandemic of the 2019 novel Coronavirus has seen unprecedented exponential growth. Within three months, 192 countries have been affected, crossing more than 1 million confirmed cases and over 60 thousand deaths until the first week of April. Decision making in such a pandemic becomes difficult due to limited data on the nature of the disease and its propagation, course, prevention, and treatment. The pandemic response has varied from country to country and has resulted in a heterogeneous timeline for novel Coronavirus propagation. We compared the public health measures taken by various countries and the potential impact on the spread. We studied 6 countries including China, Italy, South Korea, Singapore, United Kingdom(UK), United States(US), and the special administrative region of Hong Kong. All articles, press releases, and websites of government entities published over a five-month period were included. A comparison of the date of the first diagnosed case, the spread of disease, and time since the first case and major public health policy implemented for prevention and containment and current cases was done. An emphasis on early and aggressive border restriction and surveillance of travelers from infected areas, use of information technology, and social distancing is necessary for control of the novel pandemic. Moving forwards, improvement in infrastructure, and adequate preparedness for pandemics is required.

scholarly journals Nanotechnology against the novel coronavirus (severe acute respiratory syndrome coronavirus 2): diagnosis, treatment, therapy and future perspectives

Nanomedicine ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. 497-516
Author(s):  
Hamid Rashidzadeh ◽  
Hossein Danafar ◽  
Hossein Rahimi ◽  
Faezeh Mozafari ◽  
Marziyeh Salehiabar ◽  
...  
Keyword(s):  
Infectious Disease ◽  
Therapeutic Agents ◽  
Rapid Diagnosis ◽  
Socioeconomic Impact ◽  
The Novel ◽  
Future Perspectives ◽  
Mortality And Morbidity ◽  
Self Assembling ◽  
Novel Coronavirus ◽  
Significant Mortality

COVID-19, as an emerging infectious disease, has caused significant mortality and morbidity along with socioeconomic impact. No effective treatment or vaccine has been approved yet for this pandemic disease. Cutting-edge tools, especially nanotechnology, should be strongly considered to tackle this virus. This review aims to propose several strategies to design and fabricate effective diagnostic and therapeutic agents against COVID-19 by the aid of nanotechnology. Polymeric, inorganic self-assembling materials and peptide-based nanoparticles are promising tools for battling COVID-19 as well as its rapid diagnosis. This review summarizes all of the exciting advances nanomaterials are making toward COVID-19 prevention, diagnosis and therapy.

scholarly journals Thinking Too Much About the Novel Coronavirus. The Link Between Persistent Thinking About COVID-19, SARS-CoV-2 Anxiety and Trauma Effects

2020 ◽  
Author(s):  
Sebastian Skalski ◽  
Patrycja Uram ◽  
Paweł Dobrakowski ◽  
Anna Kwiatkowska
Keyword(s):  
Mental Health ◽  
Infectious Disease ◽  
Regression Analysis ◽  
Psychometric Properties ◽  
Short Form ◽  
Anxiety Scale ◽  
The Novel ◽  
Mental Functioning ◽  
Novel Coronavirus ◽  
Polish Adaptation

Background. Earlier reports have shown that anxiety over the novel coronavirus may predict mental functioning during the pandemic. The objective of this study was to assess the links between persistent thinking about COVID-19, anxiety over SARS-CoV-2 and trauma effects. For the purpose of this study, the Polish adaptation of the Obsession with COVID-19 Scale (OCS) was implemented. Participants and procedure. The study involved 356 individuals aged 18–78 (58% females). In addition to OCS, the participants completed the following questionnaires: the Coronavirus Anxiety Scale and the Short Form of the Changes in Outlook Questionnaire. Results. OCS was characterized by satisfactory psychometric properties (α = .82). Regression analysis indicated that persistent thinking about COVID-19 was associated with increased coronavirus anxiety and negative trauma effects. In addition, anxiety served as a partial mediator in the link between persistent thinking about COVID-19 and negative trauma effects. Conclusions. The data obtained suggest that persistent thinking about the pandemic may be dysfunctional for mental health during the spread of the infectious disease.

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