PDF(Pubmed)
Abstract：
BACKGROUND: After China ended its \'dynamic zero-COVID policy\' on 7 December 2022, a large-scale outbreak of SARS-CoV-2 Omicron infections emerged across the country. We conducted a hospital-wide prospective study to document the epidemiological characteristics of the outbreak among healthcare workers in a hospital of Chengdu, where no previous staff SARS-CoV-2 infections were detected.
METHODS: All hospital staff members were invited to complete an online questionnaire on COVID-19 in January 2023, and SARS-CoV-2 infection cases were followed up by telephone in June 2023 to collect data on long COVID. Univariable and multivariable logistic regression analyses were performed to evaluate factors associated with SARS-CoV-2 infection.
RESULTS: A total of 2,899 hospital staff (93.5%) completed the online questionnaire, and 86.4% were infected with SARS-CoV-2 Omicron. The clinical manifestations of these patients were characterized by a high incidence of systemic symptoms. Cough (83.4%), fatigue (79.8%) and fever (74.3%) were the most frequently reported symptoms. Multivariable logistic analysis revealed that females [adjusted odds ratio (aOR): 1.42, 95% confidence interval (CI): 1.07-1.88] and clinical practitioners (aOR: 10.32, 95% CI: 6.57-16.20) were associated with an increased risk of SARS-CoV-2 infection, whereas advanced age ≥ 60 years (aOR: 0.30, 95% CI: 0.19-0.49) and a three-dose COVID-19 vaccination with the most recent dose administered within 3 months before 7 December 2022 (aOR: 0.44, 95% CI: 0.23-0.87 for within 1 month; aOR: 0.46, 95% CI: 0.22-0.97 for within 1-3 months) were associated with reduced risk. Among the cases, 4.27% experienced long COVID of fatigue, brain fog or both, with the majority reporting minor symptoms.
CONCLUSIONS: Our findings provide a snapshot of the epidemiological situation of SARS-CoV-2 infection among healthcare workers in Chengdu after China\'s deregulation of COVID-19 control. Data in the study can aid in the development and implementation of effective measures to protect healthcare workers and maintain the integrity of healthcare systems during challenging times such as a rapid and widespread Omicron outbreak.
METHODS: All hospital staff members were invited to complete an online questionnaire on COVID-19 in January 2023, and SARS-CoV-2 infection cases were followed up by telephone in June 2023 to collect data on long COVID. Univariable and multivariable logistic regression analyses were performed to evaluate factors associated with SARS-CoV-2 infection.
RESULTS: A total of 2,899 hospital staff (93.5%) completed the online questionnaire, and 86.4% were infected with SARS-CoV-2 Omicron. The clinical manifestations of these patients were characterized by a high incidence of systemic symptoms. Cough (83.4%), fatigue (79.8%) and fever (74.3%) were the most frequently reported symptoms. Multivariable logistic analysis revealed that females [adjusted odds ratio (aOR): 1.42, 95% confidence interval (CI): 1.07-1.88] and clinical practitioners (aOR: 10.32, 95% CI: 6.57-16.20) were associated with an increased risk of SARS-CoV-2 infection, whereas advanced age ≥ 60 years (aOR: 0.30, 95% CI: 0.19-0.49) and a three-dose COVID-19 vaccination with the most recent dose administered within 3 months before 7 December 2022 (aOR: 0.44, 95% CI: 0.23-0.87 for within 1 month; aOR: 0.46, 95% CI: 0.22-0.97 for within 1-3 months) were associated with reduced risk. Among the cases, 4.27% experienced long COVID of fatigue, brain fog or both, with the majority reporting minor symptoms.
CONCLUSIONS: Our findings provide a snapshot of the epidemiological situation of SARS-CoV-2 infection among healthcare workers in Chengdu after China\'s deregulation of COVID-19 control. Data in the study can aid in the development and implementation of effective measures to protect healthcare workers and maintain the integrity of healthcare systems during challenging times such as a rapid and widespread Omicron outbreak.
摘要：
背景：在中国于2022年12月7日结束其“动态零COVID政策”之后，在全国范围内爆发了SARS-CoV-2Omicron感染的大规模爆发。我们进行了一项全医院的前瞻性研究，以记录成都某医院医护人员爆发的流行病学特征，以前没有发现工作人员SARS-CoV-2感染。
方法：2023年1月邀请所有医院工作人员填写COVID-19的在线问卷，2023年6月对SARS-CoV-2感染病例进行电话随访，收集长COVID数据。进行单变量和多变量逻辑回归分析以评估与SARS-CoV-2感染相关的因素。
结果：共有2899名医院工作人员（93.5%）完成了在线问卷，86.4%的人感染了SARS-CoV-2Omicron。这些患者的临床表现以系统症状的高发生率为特征。咳嗽（83.4%），疲劳(79.8%)和发热(74.3%)是最常见的症状.多变量logistic分析显示，女性[调整比值比（aOR）：1.42，95％置信区间（CI）：1.07-1.88]和临床医生（aOR：10.32，95％CI：6.57-16.20）与SARS-CoV-2感染风险增加有关，而年龄≥60岁(aOR:0.30,95%CI:0.19-0.49),以及在2022年12月7日前3个月内接种最新剂量的三剂量COVID-19疫苗(aOR:0.44,95%CI:0.23-0.87,1个月内;aOR:0.46,95%CI:0.22-0.97)与风险降低相关.在案件中，4.27%经历了长时间的疲劳COVID，脑雾或两者兼而有之，大多数报告症状轻微。
结论：我们的发现为中国放松对COVID-19控制的管制后，成都医护人员中SARS-CoV-2感染的流行病学状况提供了一个快照。该研究中的数据可以帮助制定和实施有效的措施，以保护医护人员，并在快速和广泛的Omicron爆发等具有挑战性的时期保持医疗保健系统的完整性。
方法：2023年1月邀请所有医院工作人员填写COVID-19的在线问卷，2023年6月对SARS-CoV-2感染病例进行电话随访，收集长COVID数据。进行单变量和多变量逻辑回归分析以评估与SARS-CoV-2感染相关的因素。
结果：共有2899名医院工作人员（93.5%）完成了在线问卷，86.4%的人感染了SARS-CoV-2Omicron。这些患者的临床表现以系统症状的高发生率为特征。咳嗽（83.4%），疲劳(79.8%)和发热(74.3%)是最常见的症状.多变量logistic分析显示，女性[调整比值比（aOR）：1.42，95％置信区间（CI）：1.07-1.88]和临床医生（aOR：10.32，95％CI：6.57-16.20）与SARS-CoV-2感染风险增加有关，而年龄≥60岁(aOR:0.30,95%CI:0.19-0.49),以及在2022年12月7日前3个月内接种最新剂量的三剂量COVID-19疫苗(aOR:0.44,95%CI:0.23-0.87,1个月内;aOR:0.46,95%CI:0.22-0.97)与风险降低相关.在案件中，4.27%经历了长时间的疲劳COVID，脑雾或两者兼而有之，大多数报告症状轻微。
结论：我们的发现为中国放松对COVID-19控制的管制后，成都医护人员中SARS-CoV-2感染的流行病学状况提供了一个快照。该研究中的数据可以帮助制定和实施有效的措施，以保护医护人员，并在快速和广泛的Omicron爆发等具有挑战性的时期保持医疗保健系统的完整性。
