Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Serology to COVID-19 for Recording Exposures and Evaluating Needs

Children's Hospital Medical Center, Cincinnati · 2020
ClinicalTrials.gov · Datasets · License: Public Domain · 2020
Open Source ↗
coronavirus
As the global and pandemic spread of the novel coronavirus (SARS-CoV-2, COVID-19) continues, many knowledge gaps remain with regard to the epidemiology and transmission of infection, as well as the normal immunological responses after viral exposure. Cincinnati had its first confirmed case of COVID-19 on March 14, 2020, and despite extensive shelter-in-place and social distancing efforts, community spread continues at over 150-200 new cases per week. As new residents and fellows arrive in July 2020 to Cincinnati Children's Hospital Medical Center (CCHMC), many of whom come from metropolitan areas across the country, it is imperative that investigators determine the current prevalence of infection, measure the cumulative incidence of infection over the next 12-24 months, investigate the normal antibody patterns after infection, and help elucidate what constitutes a protective immunological response. The investigators have a unique but time-limited opportunity to optimally track the epidemiology and natural history of SARS-CoV-2 infection among trainees at CCHMC, including risk factors for transmission and immunological recovery. SCREEN will investigate epidemiological and immunological features of SARS-CoV-2 virus infection within the cohort of CCHMC residents and fellows who have patient contact. By collecting and analyzing weekly serial samples for SARS-CoV-2 (nasal swab for virus by PCR) and monthly serological exposure (serum antibodies by ELISA), the investigators will determine the prevalence and cumulative incidence of infection by SARS-CoV-2; the investigators will also document the antibody responses over time and identify cases of apparent viral recrudescence or re-infection.
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

Record · ID 918936
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