|D045169||Severe Acute Respiratory Syndrome NIH||0.04|
|D018352||Coronavirus Infections NIH||0.04|
There is one clinical trial.
The outbreak of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) that started in late December 2019 in the Hubei province of China caused millions of cases worldwide in just a few months, and evolved into a real pandemic. However, only approximately 20% of SARS-CoV-2 infected patients required intensive on sub-intensice medical care and the remained experience mild or subclinical form of the disease that did not require hospital admission and a relatively high percentage (40 to 45%) remained asymptomatic. Understanding the occurrence of SARS-CoV-2-like infectious in a large non-hospitalized population, when the epidemic peak was occurring in Italy, is of paramount importance but data are scarce. The goal of this research project is to estimate the number of suspected cases of COVID-19 and to investigate the role of the potential factors associated with SARS-CoV-2 infection in a large Italian sample of respondents living in Italy during the lockdown (started in Italy on 9 March 2020). EPICOVID19 is an Italian countrywide self-administered cross-sectional web-based survey on adult volunteers launched on April 13, 2020. The on-line questionnaire has been developed starting from the available literature and implemented using an open source platform focusing on beahvioural and clinical features of participants.
Description: Measured by using answers on the Clinical evaluation section of the questionnaire: Fever > 37.5 °C for at least 3 consecutive days; cough; sore throat/rhinorrea; headache; myalgia; olfactory/taste disorders; shortness of breath; chest pain; tachycardia; gastrointestinal disorders; conjunctivitis. Variables on symptomatology will be created by considering each symtom singularly and by combining them using a priori definition (e.g. WHO) and a posteriori approach (based on EPICOVID19 data). Logistic regression models will be applied to assess the measurements of association between exposures of interest and COVID-19-like symptoms by estimating the aOR and 95%CI.Measure: Number of participants (%) with COVID-19-like symptoms Time: 3 months (July 2020) after initial data collection (April 2020)
Description: Measured by using answers collected thorugh the on-line questionnaire about molecular NPS tests results. Logistic regression models will be applied to assess the measurements of association between exposures of interest and SARS-CoV-2 NPS positivity versus negativity by estimating the odds ratios (aOR) and 95% Confidence Intervals (CI).Measure: Number of participants (%) with SARS-CoV-2 nasopharyngeal swab (NPS) test positivity Time: 3 months (July 2020) after initial data collection (April 2020)
Data processed on December 13, 2020.
An HTML report was created for each of the unique drugs, MeSH, and HPO terms associated with COVID-19 clinical trials. Each report contains a list of either the drug, the MeSH terms, or the HPO terms. All of the terms in a category are displayed on the left-hand side of the report to enable easy navigation, and the reports contain a list of correlated drugs, MeSH, and HPO terms. Further, all reports contain the details of the clinical trials in which the term is referenced. Every clinical trial report shows the mapped HPO and MeSH terms, which are also hyperlinked. Related HPO terms, with their associated genes, protein mutations, and SNPs are also referenced in the report.Drug Reports MeSH Reports HPO Reports