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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Delaware Academy of Medicine / Delaware Public Health Association
2020
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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. |
format | Online Article Text |
id | pubmed-8389090 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Delaware Academy of Medicine / Delaware Public Health Association |
record_format | MEDLINE/PubMed |
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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