Ghana College of Physicians and Surgeons, Faculty of Public Health, Accra, Ghana.
Department of Quality Assurance, Eastern Regional Health Directorate, Ghana Health Service, Koforidua, Ghana.
Pan Afr Med J. 2021 Dec 6;40:206. doi: 10.11604/pamj.2021.40.206.30715. eCollection 2021.
among others, the objectives of Ghana's COVID-19 surveillance system are to rapidly detect, test, isolate and manage cases, to monitor trends in COVID-19 deaths and to guide the implementation and adjustment of targeted control measures. We therefore aimed to examine the operations of the COVID-19 surveillance system in New Juaben South Municipality, describe its attributes and explore whether its objectives were being met.
we utilized a mixed method descriptive study design to evaluate the COVID-19 surveillance system in the New Juaben South Municipality of the Eastern Region of Ghana. Desk review and key informant interviews were carried out from 1 February to 31 March 2021 to measure nine surveillance system attributes as an approximation of its performance using the CDC's 2013 updated surveillance system guidelines.
while the COVID-19 surveillance system in New Juaben South (NJS) was highly representative of its population, it was rated 'moderate' for its stability, flexibility, sensitivity and acceptability. The system was however characterized by a low performance on data quality, simplicity, timeliness and predictive value positive. The sensitivity and predictive value positive (PVP) of the system were 55.6% and 31.3% respectfully.
while the surveillance system is only partially meeting its objectives, it is useful in the COVID-19 response in New Juaben South Municipality. System performance could improve with stigma reduction especially among health care workers, timely testing and simplification of surveillance forms and software.
加纳的 COVID-19 监测系统的目标除其他外，是快速发现、检测、隔离和管理病例，监测 COVID-19 死亡趋势，并指导有针对性的控制措施的实施和调整。因此，我们旨在检查新朱本南地区 COVID-19 监测系统的运作情况，描述其特征，并探讨其目标是否得到实现。
我们采用混合方法描述性研究设计来评估加纳东部地区新朱本南地区的 COVID-19 监测系统。从 2021 年 2 月 1 日至 3 月 31 日进行了桌面审查和关键知情人访谈，以使用疾病预防控制中心 2013 年更新的监测系统指南，通过九个监测系统属性来衡量监测系统的性能，作为其性能的近似值。
尽管新朱本南（NJS）的 COVID-19 监测系统高度代表其人口，但它在稳定性、灵活性、敏感性和可接受性方面的评级为“中等”。然而，该系统在数据质量、简单性、及时性和阳性预测值方面的性能较差。该系统的敏感性和阳性预测值（PVP）分别为 55.6%和 31.3%。
虽然监测系统仅部分满足其目标，但它在新朱本南地区的 COVID-19 应对中是有用的。通过减少医护人员的耻辱感、及时检测以及简化监测表格和软件，系统性能可以得到提高。
