Mustafa Ummul-Khair, Kreppel Katharina Sophia, Brinkel Johanna, Sauli Elingarami
School of Life Sciences and Bioengineering, Nelson Mandela African Institution of Science and Technology, Arusha P.O. Box 447, Tanzania.
Department of Biological Sciences, Dar es Salaam University College of Education, Dar es Salaam P.O. Box 2329, Tanzania.
Healthcare (Basel). 2023 Feb 6;11(4):470. doi: 10.3390/healthcare11040470.
Mobile phones and computer-based applications can speed up disease outbreak detection and control. Hence, it is not surprising that stakeholders in the health sector are becoming more interested in funding these technologies in Tanzania, Africa, where outbreaks occur frequently. The objective of this situational review is, therefore, to summarize available literature on the application of mobile phones and computer-based technologies for infectious disease surveillance in Tanzania and to inform on existing gaps. Four databases were searched-Cumulative Index to Nursing and Allied Health Literature (CINAHL), Excerpta Medica Database (Embase), PubMed, and Scopus-yielding a total of 145 publications. In addition, 26 publications were obtained from the Google search engine. Inclusion and exclusion criteria were met by 35 papers: they described mobile phone-based and computer-based systems designed for infectious disease surveillance in Tanzania, were published in English between 2012 and 2022, and had full texts that could be read online. The publications discussed 13 technologies, of which 8 were for community-based surveillance, 2 were for facility-based surveillance, and 3 combined both forms of surveillance. Most of them were designed for reporting purposes and lacked interoperability features. While undoubtedly useful, the stand-alone character limits their impact on public health surveillance.
移动电话和基于计算机的应用程序可以加快疾病爆发的检测和控制。因此,在非洲坦桑尼亚这个疾病爆发频繁的地方,卫生部门的利益相关者对资助这些技术越来越感兴趣也就不足为奇了。因此,本次情况综述的目的是总结关于移动电话和基于计算机的技术在坦桑尼亚用于传染病监测的现有文献,并指出存在的差距。检索了四个数据库——护理及相关健康文献累积索引(CINAHL)、医学文摘数据库(Embase)、PubMed和Scopus——共得到145篇出版物。此外,通过谷歌搜索引擎又获得了26篇出版物。35篇论文符合纳入和排除标准:它们描述了为坦桑尼亚传染病监测设计的基于移动电话和基于计算机的系统,于2012年至2022年期间以英文发表,并且有可在线阅读的全文。这些出版物讨论了13种技术,其中8种用于社区监测,2种用于机构监测,3种结合了两种监测形式。它们大多是为报告目的而设计的,缺乏互操作性特征。虽然无疑很有用,但独立的特性限制了它们对公共卫生监测的影响。