PDF(Pubmed)
Abstract：
BACKGROUND: Uganda has a sentinel surveillance system in seven high-risk sites to monitor yellow fever (YF) patterns and detect outbreaks. We evaluated the performance of this system from 2017 to 2022.
METHODS: We evaluated selected attributes, including timeliness (lags between different critical time points), external completeness (proportion of expected sentinel sites reporting ≥ 1 suspect case in the system annually), and internal completeness (proportion of reports with the minimum required data elements filled), using secondary data in the YF surveillance database from January 2017-July 2022. We conducted key informant interviews with stakeholders at health facility and national level to assess usefulness, flexibility, simplicity, and acceptability of the surveillance system.
RESULTS: In total, 3,073 suspected and 15 confirmed YF cases were reported. The median time lag from sample collection to laboratory shipment was 37 days (IQR:21-54). External completeness was 76%; internal completeness was 65%. Stakeholders felt that the surveillance system was simple and acceptable, but were uncertain about flexibility. Most (71%) YF cases in previous outbreaks were detected through the sentinel surveillance system; data were used to inform interventions such as intensified YF vaccination.
CONCLUSIONS: The YF sentinel surveillance system was useful in detecting outbreaks and informing public health action. Delays in case confirmation and incomplete data compromised its overall effectiveness and efficiency.
METHODS: We evaluated selected attributes, including timeliness (lags between different critical time points), external completeness (proportion of expected sentinel sites reporting ≥ 1 suspect case in the system annually), and internal completeness (proportion of reports with the minimum required data elements filled), using secondary data in the YF surveillance database from January 2017-July 2022. We conducted key informant interviews with stakeholders at health facility and national level to assess usefulness, flexibility, simplicity, and acceptability of the surveillance system.
RESULTS: In total, 3,073 suspected and 15 confirmed YF cases were reported. The median time lag from sample collection to laboratory shipment was 37 days (IQR:21-54). External completeness was 76%; internal completeness was 65%. Stakeholders felt that the surveillance system was simple and acceptable, but were uncertain about flexibility. Most (71%) YF cases in previous outbreaks were detected through the sentinel surveillance system; data were used to inform interventions such as intensified YF vaccination.
CONCLUSIONS: The YF sentinel surveillance system was useful in detecting outbreaks and informing public health action. Delays in case confirmation and incomplete data compromised its overall effectiveness and efficiency.
摘要：
背景：乌干达在七个高风险地点设有哨点监测系统，以监测黄热病（YF）模式并检测暴发。我们评估了该系统从2017年到2022年的性能。
方法：我们评估了选定的属性，包括及时性(不同关键时间点之间的滞后)，外部完整性(系统中每年报告≥1例疑似病例的预期哨点比例)，和内部完整性(填写了最低要求数据元素的报告比例)，使用2017年1月至2022年7月YF监测数据库中的次要数据。我们对医疗机构和国家层面的利益相关者进行了重要的线人访谈，以评估有用性，灵活性,简单，以及监控系统的可接受性。
结果：总计，报告了3,073例疑似YF病例和15例确诊YF病例。从样品收集到实验室装运的中位时滞为37天(IQR:21-54)。外部完整性为76%；内部完整性为65%。利益相关者认为监控系统简单且可以接受，但不确定灵活性。以前爆发的大多数（71％）YF病例是通过哨点监测系统发现的；数据用于告知干预措施，例如加强YF疫苗接种。
结论：YF哨点监测系统可用于检测暴发和告知公共卫生行动。案件确认的延迟和不完整的数据损害了其整体有效性和效率。
方法：我们评估了选定的属性，包括及时性(不同关键时间点之间的滞后)，外部完整性(系统中每年报告≥1例疑似病例的预期哨点比例)，和内部完整性(填写了最低要求数据元素的报告比例)，使用2017年1月至2022年7月YF监测数据库中的次要数据。我们对医疗机构和国家层面的利益相关者进行了重要的线人访谈，以评估有用性，灵活性,简单，以及监控系统的可接受性。
结果：总计，报告了3,073例疑似YF病例和15例确诊YF病例。从样品收集到实验室装运的中位时滞为37天(IQR:21-54)。外部完整性为76%；内部完整性为65%。利益相关者认为监控系统简单且可以接受，但不确定灵活性。以前爆发的大多数（71％）YF病例是通过哨点监测系统发现的；数据用于告知干预措施，例如加强YF疫苗接种。
结论：YF哨点监测系统可用于检测暴发和告知公共卫生行动。案件确认的延迟和不完整的数据损害了其整体有效性和效率。
