%0杂志文章%@ 2369-2960 %I JMIR出版物%V 7% 卡塔尔世界杯8强波胆分析N 12% P e30106% T非洲用于大流行控制的数字卫生工具的可用性和适用性:范围综述和聚类分析%A Silenou,Bernard C %A Nyirenda,John L Z %A Zaghloul,Ahmed %A Lange,Berit %A Doerrbecker,Juliane %A Schenkel,Karl %A Krause,Gérard %+ Helmholtz感染研究中心流行病学部，Inhoffenstraße 7, Braunschweig, 38124, Germany, 49 5316181 3100，Gerard.Krause@helmholtz-hzi.de %K移动应用程序%K移动卫生%K流行病学监测%K传染病疫情应对%K卫生信息管理%K公共卫生%K审查%K传播网络%D 2021 %7 23.12.2021 %9审查%J JMIR公共卫生监测%G英文%X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。方法:我们结合文献系统综述和专家电话调查的数据进行了范围综述。我们通过搜索2010年1月至2020年12月之间发表的文章，应用了PRISMA(系统评价和元分析首选报告项目)指南。此外，我们使用了受访者驱动的抽样方法，并于2019年10月至2020年2月在所有非洲国家国家公共卫生机构的代表中进行了电话调查。我们结合这些发现，并使用层次聚类方法根据工具的功能(属性)对它们进行分组。结果:我们从1914年的出版物中确定了30个工具和来自52%(28/54)非洲国家的45个答复。大约13%的工具(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. %M 34941551 %R 10.2196/30106 %U https://publichealth.www.mybigtv.com/2021/12/e30106 %U https://doi.org/10.2196/30106 %U http://www.ncbi.nlm.nih.gov/pubmed/34941551