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A Social Network Analysis Approach for Contact Tracing in the Hospital Setting

Since the beginning of the COVID-19 pandemic, the State of Delaware has implemented various strategies including a stay-at-home order, mask-wearing requirements in public places, and community-based testing to control the spread of the disease. Health systems across the U.S. have taken actions inclu...

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Autores principales: Ostovari, Mina, Jurkovitz, Claudine, Pachter, Lee, Chen, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Delaware Academy of Medicine / Delaware Public Health Association 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8389090/
https://www.ncbi.nlm.nih.gov/pubmed/34467124
http://dx.doi.org/10.32481/djph.2020.08.007
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author Ostovari, Mina
Jurkovitz, Claudine
Pachter, Lee
Chen, David
author_facet Ostovari, Mina
Jurkovitz, Claudine
Pachter, Lee
Chen, David
author_sort Ostovari, Mina
collection PubMed
description Since the beginning of the COVID-19 pandemic, the State of Delaware has implemented various strategies including a stay-at-home order, mask-wearing requirements in public places, and community-based testing to control the spread of the disease. Health systems across the U.S. have taken actions including symptom monitoring and screening for visitors and healthcare workers, providing personal protection equipment (PPE), and contact tracing of confirmed infected individuals to provide maximum possible protection for healthcare workers. Despite such efforts, there remains a significant risk of intra-hospital transmission of COVID-19. Healthcare workers who contact patients with COVID-19 or were exposed to the disease in the community may transmit the infection to coworkers in the inpatient setting. In addition to universal and case-based precautions to prevent exposure and disease transmission, contact tracing is essential to minimizing the impact of outbreaks among healthcare workers and the community. A rapid increase in cases can quickly diminish hospital infection control and prevention program capacity to perform high-quality contact tracing. This article will describe an approach using the application of social network analysis (SNA) and Electronic Medical Records (EMR) to enhance the current efforts in COVID-19 contact tracings.
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spelling pubmed-83890902021-08-30 A Social Network Analysis Approach for Contact Tracing in the Hospital Setting Ostovari, Mina Jurkovitz, Claudine Pachter, Lee Chen, David Dela J Public Health Article Since the beginning of the COVID-19 pandemic, the State of Delaware has implemented various strategies including a stay-at-home order, mask-wearing requirements in public places, and community-based testing to control the spread of the disease. Health systems across the U.S. have taken actions including symptom monitoring and screening for visitors and healthcare workers, providing personal protection equipment (PPE), and contact tracing of confirmed infected individuals to provide maximum possible protection for healthcare workers. Despite such efforts, there remains a significant risk of intra-hospital transmission of COVID-19. Healthcare workers who contact patients with COVID-19 or were exposed to the disease in the community may transmit the infection to coworkers in the inpatient setting. In addition to universal and case-based precautions to prevent exposure and disease transmission, contact tracing is essential to minimizing the impact of outbreaks among healthcare workers and the community. A rapid increase in cases can quickly diminish hospital infection control and prevention program capacity to perform high-quality contact tracing. This article will describe an approach using the application of social network analysis (SNA) and Electronic Medical Records (EMR) to enhance the current efforts in COVID-19 contact tracings. Delaware Academy of Medicine / Delaware Public Health Association 2020-08-13 /pmc/articles/PMC8389090/ /pubmed/34467124 http://dx.doi.org/10.32481/djph.2020.08.007 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/The journal and its content is copyrighted by the Delaware Academy of Medicine / Delaware Public Health Association (Academy/DPHA). This DJPH site, its contents, and its metadata are licensed under Creative Commons License - CC BY-NC-ND. (Please click to read (https://creativecommons.org/licenses/by-nc-nd/4.0/) common-language details on this license type, or copy and paste the following into your web browser: https://creativecommons.org/licenses/by-nc-nd/4.0/). Images are NOT covered under the Creative Commons license and are the property of the original photographer or company who supplied the image. Opinions expressed by authors of articles summarized, quoted, or published in full within the DJPH represent only the opinions of those authors and do not necessarily reflect the official policy of the Academy/DPHA or the institution with which the authors are affiliated.
spellingShingle Article
Ostovari, Mina
Jurkovitz, Claudine
Pachter, Lee
Chen, David
A Social Network Analysis Approach for Contact Tracing in the Hospital Setting
title A Social Network Analysis Approach for Contact Tracing in the Hospital Setting
title_full A Social Network Analysis Approach for Contact Tracing in the Hospital Setting
title_fullStr A Social Network Analysis Approach for Contact Tracing in the Hospital Setting
title_full_unstemmed A Social Network Analysis Approach for Contact Tracing in the Hospital Setting
title_short A Social Network Analysis Approach for Contact Tracing in the Hospital Setting
title_sort social network analysis approach for contact tracing in the hospital setting
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8389090/
https://www.ncbi.nlm.nih.gov/pubmed/34467124
http://dx.doi.org/10.32481/djph.2020.08.007
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