Mercy Kyeng, Salyer Stephanie J, Mankga Comfort, Hedberg Calle, Zondo Phumzile, Kebede Yenew
Africa Centres for Disease Control and Prevention, Division of Surveillance and Disease Intelligence, Addis Ababa, Ethiopia.
United States Centers for Disease Control and Prevention, Division of Global Health Protection, Atlanta, Georgia; United States of America.
PLOS Digit Health. 2024 Jul 8;3(7):e0000546. doi: 10.1371/journal.pdig.0000546. eCollection 2024 Jul.
Africa is home to hotspots of disease emergence and re-emergence. To adequately detect and respond to these health threats, early warning systems inclusive of event-based surveillance (EBS) are needed. However, data systems to manage these events are not readily available. In 2020, Africa Centres for Disease Control and Prevention developed an event management system (EMS) to meet this need. The district health information software (DHIS2), which is free and open-source software was identified as the platform for the EMS because it can support data capture and analysis and monitor and report events. The EMS was created through a collaborative and iterative prototyping process that included modifying key DHIS2 applications like Tracker Capture. Africa CDC started piloting the EMS with both signal and event data entry in June 2020. By December 2022, 416 events were captured and over 140 weekly reports, including 19 COVID-19 specific reports, were generated and distributed to inform continental awareness and response efforts. Most events detected directly impacted humans (69%), were considered moderate (50%) to high (29%) risk level and reflected both emerging and endemic infectious disease outbreaks. Highly pathogenic avian influenza, specifically H5N1, was the most frequently detected animal event and storms and flooding were most frequently detected environmental events. Both data completeness and timeliness improved over time. Country-level interest and utility resulted in four African countries adapting the EMS in 2022 and two more in 2023. This system demonstrates how integrating digital technology into health systems and utilising existing digital platforms like DHIS2 can improve early warning at the continental and country level by improving EBS workflow.
非洲是疾病新发和再发的热点地区。为了充分检测并应对这些健康威胁,需要包括基于事件的监测(EBS)在内的早期预警系统。然而,用于管理这些事件的数据系统并不容易获得。2020年,非洲疾病控制与预防中心开发了一个事件管理系统(EMS)来满足这一需求。地区卫生信息软件(DHIS2),一款免费的开源软件,被确定为EMS的平台,因为它能够支持数据采集与分析以及事件监测和报告。EMS是通过一个协作式迭代原型制作过程创建的,该过程包括修改关键的DHIS2应用程序,如追踪器捕获。非洲疾病控制与预防中心于2020年6月开始用信号和事件数据录入对EMS进行试点。到2022年12月,共捕获了416起事件,并生成并分发了140多份周报,其中包括19份特定于新冠疫情的报告,以提高全大陆的认识并推动应对工作。检测到的大多数事件直接影响人类(69%),被认为风险水平为中度(50%)至高(29%),并反映了新发和地方性传染病疫情。高致病性禽流感,特别是H5N1,是最常检测到的动物事件,风暴和洪水是最常检测到的环境事件。随着时间的推移,数据的完整性和及时性都有所提高。国家层面的兴趣和实用性促使四个非洲国家在2022年采用了EMS,2023年又有两个国家采用。该系统展示了将数字技术融入卫生系统并利用DHIS2等现有数字平台,如何通过改进EBS工作流程来改善大陆和国家层面的早期预警。