ClinicalTrials.gov
public full text
Public Domain
Assessment of Covid-19 Infection Rates in Healthcare Workers Using a Desynchronization Strategy
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.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Health Care Cybersecurity Challenges and Solutions Under the Climate of COVID-19: Scoping Review#976530
- Evaluation of the Impact of Hospitalization in Intensive Care for COVID-19 Infection#982484
- Performance indicators for evaluating and optimising hospital services during COVID-19: a scoping review.#1167013
- Hydroxychloroquine to Prevent SARS-CoV-2 Infection/COVID-19#868488
- Comparing Two Programs to Train Staff to Reduce the Spread of COVID-19 in Nursing Homes#2258
Record · ID 863527
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive