Rogers Tia M, Robinson Susan J, Reynolds Laura E, Ladva Chandresh N, Burgos-Garay Maria, Whiteman Ari, Budge Holly, Soto Natalie, Thompson Mariela, Hunt Estee, Barson Todd, Boyd Andrew T
COVID-19 Response Team (Drs Rogers, Robinson, Ladva, Burgos-Garay, Whiteman, and Boyd and Ms Reynolds) and Epidemic Intelligence Service (Drs Rogers and Ladva), Centers for Disease Control and Prevention (CDC), Atlanta, Georgia; United States Public Health Service, Washington, District of Columbia (Drs Rogers and Boyd and Ms Reynolds); and Bear River Health Department, Logan, Utah (Mss Budge, Soto, Thompson, and Hunt and Mr Barson).
J Public Health Manag Pract. 2022;28(1):60-69. doi: 10.1097/PHH.0000000000001383.
To identify potential strategies to mitigate COVID-19 transmission in a Utah meat-processing facility and surrounding community.
DESIGN/SETTING: During March-June 2020, 502 workers at a Utah meat-processing facility (facility A) tested positive for SARS-CoV-2. Using merged data from the state disease surveillance system and facility A, we analyzed the relationship between SARS-CoV-2 positivity and worker demographics, work section, and geospatial data on worker residence. We analyzed worker survey responses to questions regarding COVID-19 knowledge, beliefs, and behaviors at work and home.
(1) Facility A workers (n = 1373) with specimen collection dates and SARS-CoV-2 RT-PCR test results; (2) residential addresses of all persons (workers and nonworkers) with a SARS-CoV-2 diagnostic test (n = 1036), living within the 3 counties included in the health department catchment area; and (3) facility A workers (n = 64) who agreed to participate in the knowledge, attitudes, and practices survey.
New cases over time, COVID-19 attack rates, worker characteristics by SARS-CoV-2 test results, geospatially clustered cases, space-time proximity of cases among workers and nonworkers; frequency of quantitative responses, crude prevalence ratios, and counts and frequency of coded responses to open-ended questions from the COVID-19 knowledge, attitudes, and practices survey.
Statistically significant differences in race (P = .01), linguistic group (P < .001), and work section (P < .001) were found between workers with positive and negative SARS-CoV-2 test results. Geographically, only 6% of cases were within statistically significant spatiotemporal case clusters. Workers reported using handwashing (57%) and social distancing (21%) as mitigation strategies outside work but reported apprehension with taking COVID-19-associated sick leave.
Mitigating COVID-19 outbreaks among workers in congregate settings requires a multifaceted public health response that is tailored to the workforce.
Tailored, multifaceted mitigation strategies are crucial for reducing COVID-19-associated health disparities among disproportionately affected populations.
确定减轻犹他州一家肉类加工设施及其周边社区新冠病毒传播的潜在策略。
设计/背景：2020年3月至6月期间，犹他州一家肉类加工设施（设施A）的502名工人新冠病毒检测呈阳性。利用该州疾病监测系统和设施A的合并数据，我们分析了新冠病毒阳性与工人人口统计学特征、工作部门以及工人居住地理空间数据之间的关系。我们分析了工人对有关工作和家庭中新冠病毒知识、信念及行为问题的调查回复。
（1）有样本采集日期和新冠病毒逆转录聚合酶链反应检测结果的设施A工人（n = 1373）；（2）在卫生部门辖区内3个县居住且进行过新冠病毒诊断检测的所有人（工人和非工人）的居住地址（n = 1036）；（3）同意参与知识、态度和实践调查的设施A工人（n = 64）。
随时间推移的新病例数、新冠病毒感染率、按新冠病毒检测结果划分的工人特征、地理空间聚集病例、工人与非工人病例的时空接近度；定量回复频率、粗患病率比以及对新冠病毒知识、态度和实践调查中开放式问题的编码回复计数及频率。
新冠病毒检测结果呈阳性和阴性的工人在种族（P = .01）、语言群体（P < .001）和工作部门（P < .001）方面存在统计学显著差异。在地理上，只有6%的病例处于统计学显著的时空病例聚集区内。工人报告在工作之外使用洗手（57%）和社交距离（21%）作为缓解策略，但对请新冠病毒相关病假表示担忧。
减轻聚集场所工人中的新冠病毒疫情需要针对劳动力制定多方面的公共卫生应对措施。
量身定制的多方面缓解策略对于减少受影响不成比例人群中与新冠病毒相关的健康差距至关重要。
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