A systems approach to understanding SARS-CoV-2 transmission among healthcare workers in a cluster

被引：0
|
作者：
Pisani, Marie [1 ]
Anderson, Laura [2 ]
Hatas, Gabrielle [2 ]
Safdar, Nasia [1 ,3 ]
机构：
[1] Univ Wisconsin, Sch Med & Publ Hlth, Madison, WI USA
[2] Univ Wisconsin Hlth, Madison, WI USA
[3] William S Middleton Mem Vet Adm Med Ctr, Madison, WI USA
来源：
AMERICAN JOURNAL OF INFECTION CONTROL | 2022年 / 50卷 / 04期
关键词：
Covid-19; Infection prevention; Systems engineering; Epidemiology;
D O I：
10.1016/j.ajic.2021.12.001
中图分类号：
R1 [预防医学、卫生学];
学科分类号：
1004 ; 120402 ;
摘要：
Preventing transmission of COVID-19 between healthcare workers is essential to optimize patient, employee, and organizational outcomes. We used a systems engineering approach to analyze contact tracing interviews from a cluster of COVID-19 at our healthcare institution and identified modifiable and non-modifiable causes of transmission. Similar work system analyses may be useful to institutions in identifying multiple factors contributing to infection clusters among healthcare workers, and in developing layered infection prevention methods to further reduce transmission.(c) 2021 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.
引用
收藏
页码：459 / 461
页数：3
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