@文章{信息:doi/10.2196/30106，作者="Silenou, Bernard C和Nyirenda, John L Z和Zaghloul, Ahmed和Lange, Berit和Doerrbecker, Juliane和Schenkel, Karl和Krause, G{\'e}rard"，标题="非洲流行病控制数字卫生工具的可用性和适用性:范围审查和聚类分析"，期刊="JMIR公共卫生监测"，年="2021"，月="12"，日="23"，卷="7"，数量="12"，页数="e30106"，关键词="移动应用程序;移动健康;流行病学监测;传染病;疫情应对;健康信息管理;公共卫生;审查;背景:对非洲快速增长的用于监测或疫情管理的移动卫生工具进行监督已成为一项挑战。目的:本研究的目的是绘制用于非洲传染病监测或爆发管理的移动卫生工具的功能组合。 Methods: We conducted a scoping review by combining data from a systematic review of the literature and a telephone survey of experts. We applied the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines by searching for articles published between January 2010 and December 2020. In addition, we used the respondent-driven sampling method and conducted a telephone survey from October 2019 to February 2020 among representatives from national public health institutes from all African countries. We combined the findings and used a hierarchical clustering method to group the tools based on their functionalities (attributes). Results: We identified 30 tools from 1914 publications and 45 responses from 52{\%} (28/54) of African countries. Approximately 13{\%} of the tools (4/30; Surveillance Outbreak Response Management and Analysis System, Go.Data, CommCare, and District Health Information Software 2) covered 93{\%} (14/15) of the identified attributes. Of the 30 tools, 17 (59{\%}) tools managed health event data, 20 (67{\%}) managed case-based data, and 28 (97{\%}) offered a dashboard. Clustering identified 2 exceptional attributes for outbreak management, namely contact follow-up (offered by 8/30, 27{\%}, of the tools) and transmission network visualization (offered by Surveillance Outbreak Response Management and Analysis System and Go.Data). Conclusions: There is a large range of tools in use; however, most of them do not offer a comprehensive set of attributes, resulting in the need for public health workers having to use multiple tools in parallel. Only 13{\%} (4/30) of the tools cover most of the attributes, including those most relevant for response to the COVID-19 pandemic, such as laboratory interface, contact follow-up, and transmission network visualization. ", issn="2369-2960", doi="10.2196/30106", url="https://publichealth.www.mybigtv.com/2021/12/e30106", url="https://doi.org/10.2196/30106", url="http://www.ncbi.nlm.nih.gov/pubmed/34941551" }