Active clinical trials for "Coronavirus Infections"

This work was aimed to determine the time of COVID 19 viral clearance in healthcare workers, assessment of clinical presentation and severity of COVID 19 infection among healthcare workers and discover relation between the time of COVID 19 viral clearance resolution of symptoms

CAPACITY (www.capacity-covid.eu) is a registry of patients with COVID-19 across Europe and has been established to answer questions on the role of cardiovascular disease in this pandemic. It is an extension of the Case Record Form (CRF) that was released by the ISARIC (International Severe Acute Respiratory and Emerging Infection Consortium) and WHO (World Health Organisation) in response to the emerging outbreak of COVID-19.

Hungarian CoronaVirus disease-19 Epidemiological Research

Application of a survey in electronic support to hospital professionals. This survey will include different demographics as well as questions from own elaboration about the different aspects related to the development of work during the health emergency. A third part will be included different validated scales for screening / diagnosis of different problems that can present those who are working in the Current situation. The different scales are the PHQ-9, GAD 7, ISI, and EIE-R. These scales address the different problems that have been seen that can introduce professionals, Depression, Anxiety, Insomnia and adaptation to stressors.

The purpose of the program. To determine the clinical, functional, immunological, and genetic factors affecting the severity of the course of acute coronavirus infection COVID-19 and PostCovid syndrome, in order to develop management tactics for such patients to reduce the risk of complications and disability.

Viral respiratory infections are common infectious complications after kidney transplantation, especially in the pediatric age group, and immunosuppressed patients may develop more severe disease. Immunosuppressive medications alter the patient's immune response by acting on humoral, cellular immunity and neutrophil function, increasing the risk of serious viral infections. Little is known about how these patients respond to infection by the new coronavirus (SARS-CoV-2). Experience with SARS caused by the Influenza H1N1 virus suggests that the severity of the disease depends on pre-existing comorbidities and the individual immune response. In more severe cases, an imbalance between the inflammatory system and the immune system is observed, determining direct consequences when pro and anti-inflammatory cytokines reach the systemic circulation in an exacerbated and unbalanced manner. Such fact can generate "cytokine storm syndrome", resulting in multiple organ dysfunction syndrome. March 2020 reports from Papa Giovanni XXIII Hospital in Bergamo, Italy - one of the largest pediatric liver transplant centers - showed that the number of transplant patients infected with Coronavirus disease 2019 (COVID- 19) increased progressively. However, they did not see greater severity and complications in this population. Immunosuppression could act as a protective factor. The present study aims to describe the prevalence of viral infection by SARS-CoV-2 in a sample of immunosuppressed children, from three groups: kidney transplants, liver transplants and oncohematological. The investigators will also look for the epidemiological profile and clinical evolution of these patients, enabling a better understanding of the COVID-19 in this special population. The investigators' hypothesis is that infection with the new coronavirus may be asymptomatic in a large number of children and that immunosuppression, observed in liver and kidney transplant patients and also seen in cancer patients, may act as protection for severe forms of COVID-19. After obtaining written informed consent from the family, the investigators will include patients from 0-18 years of age, on regular outpatient follow-up, symptomatic or not, and will check for the presence of IgM/IgG antibodies against the SARS-CoV-2. For those symptomatic or with a positive IgM result, material (oro/nasopharyngeal swabs) for RT-PCR trial for the new coronavirus will be collected. Demographic and clinical variables will be registered. The outcomes are: Serology for COVID-19 result; PCR for COVID-19 result; presence of symptoms of COVID-19; proportion of patients with viral shedding on days 3,7,14,21 and 30 after diagnosis; need for hospital admission; need for Intensive care admission; death.

Coronavirus Disease 2019 (COVID-19) has been widespread worldwide since December 2019. It is highly contagious, and severe cases can lead to acute respiratory distress or multiple organ failure. On 11 March 2020, the WHO made the assessment that COVID-19 can be characterised as a pandemic. With the development of machine learning, deep learning based artificial intelligence (AI) technology has demonstrated tremendous success in the field of medical data analysis due to its capacity of extracting rich features from imaging and complex clinical datasets. In this study, we aim to use clinical data collected as part of routine clinical care (heart tracings, X-rays and CT scans) to train artificial intelligence and machine learning algorithms, to accurately predict the course of disease in patients with Covid-19 infection, using these datasets.

The study aims to identify environmental factors and genetic (gene mutation and gene expression) changes, which influencing the course of the disease the new type of coronavirus infection COVID-19 in patients nationwide in a multicenter study. At first in the study will be performed 200 patients, selected for a homogeneous groups on the basis of the patient's anamnestic data, genetic testing. Following the interim analysis, based on the results, another 800 people are planned to involve.

Project is designed as a comprehensive population-based epidemiological study in Upper-Silesian Conurbation (Poland) aiming at: analysis of available data on incidence and mortality due to COVID-19 and estimation of the occurrence of viral infection SARS-CoV-2 as revealed by the results of serological test (ELISA: IgM, IgG), with assessment of risk factors. The project's objectives are: to assess incidence and mortality due COVID-19 according to sex, age and coexisting diseases; to determine the level of potential "underdiagnosis" of the magnitude of COVID-19 mortality using vital statistics data for Upper-Silesian Conurbation; to assess the prevalence of SARS-CoV-2 based on the level of seropositivity in Upper-Silesian Conurbation; to identify host-related and environmental risk factors if the infection. Analysis of existing data will include monthly records on incidence and mortality over the period 01.01.2020-31.12.2020 and comparison of the findings with the monthly records of 2018 and 2019, for the same population. Cross-sectional epidemiological study will be located in three towne (Katowice, Sosnowiec, Gliwice). In each town a representative age-stratified sample of 2000 subjects will undergo questionnaire assessment and serological examination performed by serological test. The project corresponds with analogous population-based studies on COVID-19 in a number of countries and responds to the WHO recommendation in that field.

As of February 17th, 2020, China has 70635 confirmed cases of coronavirus disease 2019 (COVID-19), including 1772 deaths. Human-to-human spread of virus via respiratory droplets is currently considered to be the main route of transmission. The number of patients increased rapidly but the impact factors of clinical outcomes among hospitalized patients are still unclear.