PDF(Pubmed)
Abstract：
To safely resume in-person activities during the COVID-19 pandemic, Sapienza University of Rome implemented rigorous infection prevention and control measures, a successful communication campaign and a free SARS-CoV-2 testing program. In this study, we describe the University\'s experience in carrying out such a program in the context of the COVID-19 response and identify risk factors for infection.
Having identified resources, space, supplies and staff, from March to June 2021 Sapienza offered to all its enrollees a molecular test service (8.30 AM to 4 PM, Monday to Thursday). A test-negative case-control study was conducted within the program. Participants underwent structured interviews that investigated activity-related exposures in the 2 weeks before testing. Multivariable conditional logistic regression analyses were performed. Adjusted odds ratios (aORs) and 95% confidence intervals (95% CIs) were calculated.
A total of 8,959 tests were administered, of which 56 were positive. The detection trend followed regional tendencies. Among 40 cases and 80 controls, multivariable analysis showed that a known exposure to a COVID-19 case increased the likelihood of infection (aOR: 8.39, 95% CI: 2.38-29.54), while having a job decreased it (aOR: 0.23, 95% CI: 0.06-0.88). Of factors that almost reached statistical significance, participation in activities in the university tended to reduce the risk (aOR: 0.32, 95% CI: 0.09-1.06), while attendance at private gatherings showed an increasing risk trend (aOR: 3.48, 95% CI: 0.95-12.79). Age, gender, activities in the community, visiting bars or restaurants, and use of public transportation were not relevant risk factors. When those students regularly attending the university campus were excluded from the analysis, the results were comparable, except that attending activities in the community came close to having a statistically significant effect (aOR: 8.13, 95% CI: 0.91-72.84).
The testing program helped create a safe university environment. Furthermore, promoting preventive behavior and implementing rigorous measures in public places, as was the case in the university setting, contributed to limit the virus transmission.
Having identified resources, space, supplies and staff, from March to June 2021 Sapienza offered to all its enrollees a molecular test service (8.30 AM to 4 PM, Monday to Thursday). A test-negative case-control study was conducted within the program. Participants underwent structured interviews that investigated activity-related exposures in the 2 weeks before testing. Multivariable conditional logistic regression analyses were performed. Adjusted odds ratios (aORs) and 95% confidence intervals (95% CIs) were calculated.
A total of 8,959 tests were administered, of which 56 were positive. The detection trend followed regional tendencies. Among 40 cases and 80 controls, multivariable analysis showed that a known exposure to a COVID-19 case increased the likelihood of infection (aOR: 8.39, 95% CI: 2.38-29.54), while having a job decreased it (aOR: 0.23, 95% CI: 0.06-0.88). Of factors that almost reached statistical significance, participation in activities in the university tended to reduce the risk (aOR: 0.32, 95% CI: 0.09-1.06), while attendance at private gatherings showed an increasing risk trend (aOR: 3.48, 95% CI: 0.95-12.79). Age, gender, activities in the community, visiting bars or restaurants, and use of public transportation were not relevant risk factors. When those students regularly attending the university campus were excluded from the analysis, the results were comparable, except that attending activities in the community came close to having a statistically significant effect (aOR: 8.13, 95% CI: 0.91-72.84).
The testing program helped create a safe university environment. Furthermore, promoting preventive behavior and implementing rigorous measures in public places, as was the case in the university setting, contributed to limit the virus transmission.
摘要：
为了在COVID-19大流行期间安全地恢复亲自活动，罗马萨皮恩扎大学实施了严格的感染预防和控制措施，成功的宣传活动和免费的SARS-CoV-2测试计划。在这项研究中,我们描述了大学在COVID-19反应的背景下开展此类项目的经验，并确定了感染的危险因素。
确定资源后，空间,用品和工作人员，从2021年3月至6月，Sapienza向所有参与者提供了分子测试服务(上午8.30至下午4点，周一至周四）。在该计划中进行了测试阴性病例对照研究。参与者在测试前2周内进行了结构化访谈，调查了与活动相关的暴露。进行多变量条件逻辑回归分析。计算调整后的比值比(aOR)和95%置信区间(95%CIs)。
总共进行了8,959次测试，其中56个是积极的。检测趋势遵循区域趋势。在40例病例和80例对照中，多变量分析表明，已知暴露于COVID-19病例会增加感染的可能性（aOR：8.39，95％CI：2.38-29.54），在有工作时减少了它(aOR：0.23，95%CI：0.06-0.88)。在几乎达到统计意义的因素中，参与大学活动倾向于降低风险(OR：0.32，95%CI：0.09-1.06)，而参加私人聚会的风险趋势增加（aOR：3.48，95％CI：0.95-12.79）。年龄,性别,社区活动,参观酒吧或餐馆，和使用公共交通不是相关的危险因素。当那些经常上大学校园的学生被排除在分析之外时，结果具有可比性，除了参加社区活动几乎具有统计学上的显着效果（aOR：8.13，95％CI：0.91-72.84）。
测试项目帮助创建了一个安全的大学环境。此外，在公共场所促进预防行为并采取严格措施，就像大学环境中的情况一样，有助于限制病毒传播。
确定资源后，空间,用品和工作人员，从2021年3月至6月，Sapienza向所有参与者提供了分子测试服务(上午8.30至下午4点，周一至周四）。在该计划中进行了测试阴性病例对照研究。参与者在测试前2周内进行了结构化访谈，调查了与活动相关的暴露。进行多变量条件逻辑回归分析。计算调整后的比值比(aOR)和95%置信区间(95%CIs)。
总共进行了8,959次测试，其中56个是积极的。检测趋势遵循区域趋势。在40例病例和80例对照中，多变量分析表明，已知暴露于COVID-19病例会增加感染的可能性（aOR：8.39，95％CI：2.38-29.54），在有工作时减少了它(aOR：0.23，95%CI：0.06-0.88)。在几乎达到统计意义的因素中，参与大学活动倾向于降低风险(OR：0.32，95%CI：0.09-1.06)，而参加私人聚会的风险趋势增加（aOR：3.48，95％CI：0.95-12.79）。年龄,性别,社区活动,参观酒吧或餐馆，和使用公共交通不是相关的危险因素。当那些经常上大学校园的学生被排除在分析之外时，结果具有可比性，除了参加社区活动几乎具有统计学上的显着效果（aOR：8.13，95％CI：0.91-72.84）。
测试项目帮助创建了一个安全的大学环境。此外，在公共场所促进预防行为并采取严格措施，就像大学环境中的情况一样，有助于限制病毒传播。
