View clinical trials related to SARS-CoV-2.
Filter by:Desynchronization of infection rates in healthcare workers will potentially reduce the early infection rates and therefore maintain workforce for late time points of the epidemic. Given the current threat of the COVID-19 epidemic, the department for Visceral Surgery and Medicine, Bern University Hospital, has decided to limit its elective interventions to oncological and life-saving procedures only. At the same time, the medical team were split in two teams, each working for 7 days, followed by 7 days off, called a desynchronization strategy. Contacts between the two teams are avoided. The main aim of present study is to determine, if the infection rate between the two populations (at work versus at home) is different. Secondary aims are to determine if the workforce can be maintained for longer periods compared standard of care, and if the infection rate among patients hospitalized for other reasons varies compared to the community.
This is a clinical study for the prevention of SARS-CoV-2 infection in adults exposed to the virus. This study will enroll up to 2000 asymptomatic men and women 18 to 80 years of age (inclusive) who are close contacts of persons with laboratory confirmed SARS-CoV-2 or clinically suspected COVID-19. Eligible participants will be enrolled and randomized to receive the intervention or placebo at the level of the household (all eligible participants in one household will receive the same intervention).
Coronavirus Disease 19 (COVID-19) represents an unprecedented challenge to the operations and population health management efforts of health care systems around the world. The "Pandemic Research Network (PRN): Duke Community Health Watch" study leverages technology, clinical research, epidemiology, telemedicine, and population health management capabilities to understand how to safely COVID-19. The target population is individuals in the Duke Health region as well as individuals beyond the Duke Health region who have flu-like symptoms, a viral test order for COVID-19, confirmed COVID-19, or concern for exposure to COVID-19. A subgroup of particular interest within the target population is health care workers (HCW) and families of HCW. Community members will enroll in the study electronically and for 28 days will be reminded via email or SMS to submit signs and symptoms related to COVID-19. Participants who report symptoms will be provided information about COVID-19 testing (if needed) and established mechanisms to seek care within Duke Health. Instructions for telemedicine and in-person visits, which is available publicly at https://www.dukehealth.org/covid-19-update, will be presented to participants. Participants who are unable to report symptoms independently may be contacted via telephone by Population Health Management Office (PHMO) or Clinical Events Classification (CEC) team members. Data collected through the "Pandemic Response Network (PRN): Duke Community Health Watch" study will be used for three objectives. - First, to characterize the epidemiological features of COVID-19. Specifically, we will have a high-risk subgroup of HCW and families of HCW that we enroll. - Second, to develop models that predict deterioration and the need for inpatient care, intensive care, and mechanical ventilation. - Third, to develop forecast models to estimate the volume of inpatient and outpatient resources needed to manage a COVID-19 population. The primary risk to study participants is loss of protected health information. To address this concern, all data will be stored in Duke's REDCap instance and the Duke Protected Analytics Compute Environment (PACE).
The outbreak of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in China has been declared a public health emergency of international concern. Despite lower mortality rate, SARS-CoV-2 has killed more people than SARS and MERS and the number keeps growing. Epidemic studies have been well described clinical features of patients with COVID-19, with the disease severity being an independent predictor of poor outcome. However, there is still no research investigating the prognostic factors of patients with COVID-19.